Panagiotis Tsikouras | Medicine | Research Excellence Award

Published on by International Popular Scientist Awards

Research Excellence Award

Panagiotis Tsikouras
Democritus University of Thrace, Komotini, Greece

Panagiotis Tsikouras
Affiliation Democritus University of Thrace
Country Greece
Scopus ID 6603369040
Documents 211
Citations 2,387
h-index 23
Subject Area Medicine
Event International Popular Scientist Awards

Panagiotis Tsikouras is a medical researcher affiliated with Democritus University of Thrace in Greece. His indexed research record comprises 211 documents, with 2,387 citations and an h-index of 23 according to the supplied Scopus profile information. These indicators provide a bibliometric context for considering his research activity and suitability for recognition under the Research Excellence Award. [1]

Abstract

This academic recognition profile presents the research record of Panagiotis Tsikouras, affiliated with Democritus University of Thrace, Greece, in the field of medicine. The supplied Scopus information records 211 documents, 2,387 citations and an h-index of 23. His indexed output includes research and review literature addressing clinical and translational topics, including venous thromboembolism prevention in pregnancy, assisted reproductive technology, artificial intelligence in clinical decision-making, and prevention of preterm delivery in twin pregnancies. [1] [2] [3]

Keywords

Panagiotis Tsikouras; Research Excellence Award; Medicine; Medical Research; Democritus University of Thrace; Clinical Research; Reproductive Medicine; Maternal-Fetal Medicine; Artificial Intelligence in Healthcare; Venous Thromboembolism; Preterm Delivery; Scopus; Research Impact.

Introduction

Research excellence in medicine encompasses sustained scholarly productivity, methodological rigor, contribution to clinical knowledge, collaboration and the translation of evidence into improved understanding of health and disease. Bibliometric indicators can provide one quantitative perspective on research activity, although they are most appropriately interpreted alongside the nature, quality and relevance of individual publications. The Scopus profile supplied for Panagiotis Tsikouras identifies an established publication record and citation impact within the medical research literature. [1][2] [3]

Research Profile

Panagiotis Tsikouras is associated with Democritus University of Thrace in Greece and is represented in the Scopus database under Author ID 6603369040. The supplied profile reports 211 indexed documents, 2,387 citations and an h-index of 23. The citation count is reported as being associated with 2,340 citing documents in the supplied profile information. [1]

Research Contributions

The available publication records illustrate several areas of medical research contribution. One review examines recommendations from clinical guidelines for preventing venous thromboembolism in pregnant women with inherited thrombophilia, reflecting the importance of evidence-based approaches to maternal health and thrombosis prevention. [2]

Publications

The supplied Scopus information identifies 211 documents in the researcher’s indexed record. Among the publications specifically provided are the following:

  • Recommendations from guidelines for the prevention of venous thromboembolism in pregnant women with inherited thrombophilia — review article. [2]
  • Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment — review article. [3]
  • Comparative Effectiveness of Pessary Placement, Cervical Cerclage, or Expectant Management in Preventing Preterm Delivery in Twin Pregnancies — article published in the Journal of Personalized Medicine in 2026. [4]

Research Impact

The supplied Scopus metrics report 2,387 citations and an h-index of 23 across 211 documents. These indicators suggest that the research record has received sustained scholarly attention within the indexed literature. [1] Citation metrics, however, vary by field, publication type and database coverage and should therefore be interpreted as complementary indicators rather than as standalone measures of research quality.

Award Suitability

The Research Excellence Award is intended to recognize sustained scholarly activity and meaningful contributions to a defined research field. Based on the supplied profile, Panagiotis Tsikouras presents several characteristics relevant to such an assessment, including an established indexed publication record, a reported h-index of 23, 2,387 citations and publications addressing clinically significant questions in medicine. [1]

Conclusion

Panagiotis Tsikouras has a substantial indexed medical research record associated with Democritus University of Thrace in Greece. The supplied Scopus information records 211 documents, 2,387 citations and an h-index of 23. His identified publications cover clinically relevant subjects including thrombosis prevention in pregnancy, reproductive medicine, preterm delivery and explainable artificial intelligence. [1] [2] [3] [4]

References

  1. Elsevier. (n.d.). Scopus author details: Panagiotis Tsikouras, Author ID 6603369040. Scopus.
    https://www.scopus.com/pages/authors/6603369040
  2. Rath, W. H., Tsikouras, P. N., & Pecks, U. (n.d.). Recommendations from guidelines for the prevention of venous thromboembolism in pregnant women with inherited thrombophilia. Review article. Bibliographic details should be verified against the publisher’s final record.
  3. Kritsotaki, N., Diamantidis, D., Koutlaki, N. G., Machairiotis, N., Tsikouras, P. N., et al. (n.d.). Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment. Review article. Bibliographic details should be verified against the publisher’s final record.
  4. Pagkaki, C., Kritsotaki, N., Bothou, A., Teíchmann, A. T., Tsikouras, P. N., et al. (2026). Comparative Effectiveness of Pessary Placement, Cervical Cerclage, or Expectant Management in Preventing Preterm Delivery in Twin Pregnancies.

Fanny Lemarié | Medicine | Best Researcher Award

Published on by International Popular Scientist Awards

Best Researcher Award

Fanny Lemarié
Service d’Hématologie et d’Hémostase clinique, Institut de Cancéro-Hématologie, CHU de Brest, Brest, France

Fanny Lemarié
Affiliation Service d’Hématologie et d’Hémostase clinique, Institut de Cancéro-Hématologie, CHU de Brest
Country France
Documents 2
Subject Area Medicine
Event International Popular Scientist Awards
ORCID 0009-0007-5938-7122

Fanny Lemarié is a medical researcher affiliated with the Service d’Hématologie et d’Hémostase clinique, Institut de Cancéro-Hématologie, CHU de Brest, in Brest, France. Her documented research output includes two indexed documents in the field of Medicine. This academic profile presents her research background, scholarly contributions, publication record, potential research impact, and suitability for consideration for the Best Researcher Award within the International Popular Scientist Awards.

Abstract

This academic recognition profile presents Fanny Lemarié, a medical researcher based at the Service d’Hématologie et d’Hémostase clinique, Institut de Cancéro-Hématologie, CHU de Brest, France. The available profile records two research documents and identifies Medicine as the principal subject area. Her institutional setting places her scholarly activities within a specialized clinical environment concerned with hematology, hemostasis, and cancer-related medical research. The profile is intended to provide a structured scholarly overview rather than an independent assessment of research quality. Bibliographic information should be interpreted alongside authoritative researcher and publication databases. [1]

Keywords

Fanny Lemarié; Medicine; Hematology; Hemostasis; Cancer Research; Clinical Research; CHU de Brest; Brest; France; Medical Research.

Introduction

Clinical hematology and hemostasis are multidisciplinary areas of medicine that integrate laboratory investigation, diagnosis, patient management, and translational research. Research conducted in these settings can contribute to improved understanding of hematological disorders, coagulation processes, malignancies, treatment response, and patient-centered clinical care.[1]

Research Profile

The research profile of Fanny Lemarié is situated within Medicine and is institutionally connected to a specialized hematology and hemostasis service. The affiliation with the Institut de Cancéro-Hématologie further indicates a professional environment encompassing cancer-related hematological care and research. Such clinical research environments commonly involve interactions between laboratory medicine, hematology, oncology, diagnostic science, and therapeutic practice.

Research Contributions

The available information establishes a scholarly profile in Medicine with a focus connected to clinical hematology and hemostasis. Research conducted in this domain may support the characterization of hematological conditions, investigation of coagulation and bleeding disorders, evaluation of diagnostic approaches, and development or assessment of clinical strategies in hematology and oncology.[1]

Publications

The supplied academic profile records 2 documents for Fanny Lemarié. Complete publication titles, journal information, publication dates, author lists, citation counts, and DOI identifiers were not included in the source data provided for this article. Accordingly, individual publications are not listed here to avoid attributing bibliographic details without verification.[1]

Research Impact

Research impact in clinical medicine may be assessed through several complementary dimensions, including peer-reviewed publications, citations, methodological contributions, clinical translation, collaboration, educational activity, and contribution to evidence-based healthcare. For Fanny Lemarié, the available record confirms two research documents but does not provide verified citation or h-index values. Therefore, quantitative impact beyond the documented publication count cannot be responsibly stated from the supplied information.

Award Suitability

The Best Researcher Award is intended to recognize researchers whose scholarly activity demonstrates meaningful contributions to their respective fields. Based on the information supplied for this profile, Fanny Lemarié has a documented research presence in Medicine and is affiliated with a specialized clinical hematology and hemostasis service at CHU de Brest. These characteristics provide relevant professional context for consideration within a medical research award program.

Conclusion

Fanny Lemarié is a medical researcher affiliated with the Service d’Hématologie et d’Hémostase clinique, Institut de Cancéro-Hématologie, CHU de Brest, France. The supplied profile records two research documents and identifies Medicine as the relevant subject area. Her affiliation places her within a specialized clinical research setting focused on hematology, hemostasis, and cancer-related medicine. The available information supports consideration of her profile for academic recognition, while a comprehensive assessment should incorporate verified publication-level and bibliometric evidence.

References

  1. Elsevier. (n.d.). Scopus author details: Fanny Lemarié. Scopus. Bibliographic and author-profile information supplied for the academic recognition profile.
  2. ORCID. (n.d.). ORCID record for Fanny Lemarié. ORCID.
    https://orcid.org/0009-0007-5938-7122
  3. International Popular Scientist Awards. (n.d.). International Popular Scientist Awards.
    https://popularscientist.com/
  4. Lemarié, F., Picard, J., Galinat, H., Jaouen, S., Pan-Petesch, B., Nicol, C., Herbreteau, L., Civi, L., Rio, L., Lambert, W.-C., et al. (2026). Philadelphia-negative myeloproliferative neoplasms and acquired von Willebrand syndrome.

Yashbir Singh | Medicine and Health Sciences | Best Researcher Award

Published on by International Popular Scientist Awards

Dr. Yashbir Singh | Medicine and Health Sciences | Best Researcher Award

Assistant Prof Mayo clinic, Rochester United States

Yashbir Singh is an Assistant Professor in Radiology with extensive experience in biomedical engineering and computational deep learning methods for medical imaging analysis. His research focuses on AI-driven approaches for early cancer detection, particularly in liver cancer, and has made substantial contributions to the integration of topological data analysis with deep learning. With a background in pharmaceutics, bioinformatics, and biomedical engineering, Yashbir brings a unique interdisciplinary perspective to medical imaging. His work is instrumental in advancing AI methodologies for clinical applications and patient-specific risk assessments in liver diseases. 🌐💡

Profile

Google Scholar

Orcid

Education

Yashbir Singh completed his Bachelor’s in Pharmaceutics and Drug Design from M.J.P. Rohilkhand University, Bareilly, India, followed by a Master’s in Bioinformatics from the Indian Institute of Information Technology, Allahabad. He then earned his PhD in Biomedical Engineering from Chung Yuan Christian University, Taiwan. After completing his postdoctoral work in AI Radiology at Mayo Clinic, he continued his research at the same institution as a Postdoctoral Fellow in AI Radiology. 🎓🔬

Experience

Yashbir Singh has held various prestigious positions, including visiting faculty at Harvard Medical School and a medical scientist at WVU Medicine, West Virginia. He has also been a junior research fellow at IIT Mandi, India, and a teaching assistant at IIIT Allahabad, India, and Chung Yuan Christian University, Taiwan. His diverse experiences across academia and clinical environments have significantly shaped his research in medical imaging and AI. 🌍👨‍⚕️

Research Interest

Dr. Singh’s research interests lie in the intersection of artificial intelligence, medical imaging, and oncology. He has pioneered the use of algebraic topology-based machine learning for predicting clinical outcomes, specifically in liver diseases like primary sclerosing cholangitis. His current work focuses on developing deep learning frameworks for early cancer detection, integrating machine learning with topological data analysis, and improving patient-specific diagnostic tools. 🔍💻🧬

Award

Yashbir Singh has received several prestigious awards, including the 2024 Research Award from RSNA and Best Paper Presenter at IEEE CCWC 2022. His work has been recognized for its innovation in AI-driven medical imaging and clinical applications. In addition, he has received Best Reviewer Awards from ICSPIS and the 2020 Medical Imaging Best Paper Award from SPIE. These accolades highlight his leadership in the field of AI-based medical research. 🏆📜

Publication Top Notes:

Yashbir Singh has contributed to over 20 high-impact publications. Some notable works include:

Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions

Mitigating bias in radiology machine learning: 1. Data handling

Mitigating bias in radiology machine learning: 2. Model development

The future of gpt: A taxonomy of existing chatgpt research, current challenges, and possible future directions

A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound

Identification of Novel Abiotic Stress Proteins in Triticum aestivum Through Functional Annotation of Hypothetical Proteins

Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

His work is highly cited, demonstrating a significant impact on the field of AI and medical imaging, especially in the context of liver disease. 📖📈