Bülent BAYRAKTAR | Veterinary Science | Best Researcher Award

Best Researcher Award

Bülent Bayraktar
Bayburt Universitesi

Bülent Bayraktar
Affiliation Bayburt Universitesi
Country Turkey
Scopus ID 57212514049
Documents 42
Citations 208
h-index 8
Subject area Veterinary Science
Event International PopularScientist Awards
ORCID 0000-0002-2335-9089

Bülent Bayraktar is presented in this academic recognition profile in connection with the Best Researcher Award at the International PopularScientist Awards. The supplied profile information identifies Bayburt Universitesi in Turkey as the institutional affiliation and Veterinary Science as the subject area. These figures provide a quantitative snapshot of the research record as supplied for this article. [1]

Abstract

This article presents an academic recognition profile for Bülent Bayraktar, associated with Bayburt Universitesi, Turkey, and the subject area of Veterinary Science. The supplied bibliometric information reports 42 research documents, 208 citations and an h-index of 8. These indicators can support an initial description of research output and citation visibility, although they do not independently establish the originality, methodological quality or practical significance of individual studies. [1] [2]

Keywords

Bülent Bayraktar; Best Researcher Award; Veterinary Science; academic research; bibliometrics; research productivity; citation analysis; h-index; Scopus author profile; ORCID; scholarly publications; research recognition; International PopularScientist Awards; Turkey; Bayburt Universitesi.

Introduction

Academic recognition profiles summarize information about researchers, their institutional affiliations, scholarly outputs and indicators of research visibility. Bibliometric databases provide structured records that can help readers locate publications and examine citation relationships. However, database statistics should be interpreted in context because citation practices, publication rates and indexing coverage differ across disciplines and research communities. [1] [3]

Research Profile

The supplied academic profile identifies Bülent Bayraktar as affiliated with Bayburt Universitesi in Turkey. The stated subject area is Veterinary Science. The listed identifiers are intended to support retrieval of the researcher’s records across academic information services. ORCID provides a persistent researcher identifier, while Scopus author records organize indexed publications and related citation metrics. Matching records across services is important when assessing a researcher’s output, especially where names, institutional affiliations or publication metadata vary. [1] [2]

Research Contributions

The submitted material does not provide a verified list of publications attributable to Bülent Bayraktar or a detailed description of the researcher’s individual contributions. Consequently, specific discoveries, research methods, clinical outcomes or innovations cannot be reliably assigned to this profile. A comprehensive assessment of contributions would ordinarily examine the research questions addressed, methodological rigor, originality, reproducibility, collaboration, publication venues and relevance to the intended field.

Publications

The supplied publication records include five articles concerning hydrogel tissue expanders, infantile hemangiomas, laser-based pain treatment, up-converting nanocrystals and photodynamic therapy for basal cell carcinoma. The source descriptions attribute these records to Scopus information supplied through roman smucler. The listed contributors and subject matter do not establish that these publications belong to Bülent Bayraktar. Accordingly, the records are documented below as supplied reference leads, not as a verified bibliography for the researcher named in this article.

  1. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., & Smucler, R. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine.
  2. Malis, J., Stara, V., Blahova, K., Bučkova, H., Faberova, R., Šterba, J., Klovrzova, S., Kynčl, M., Černy, M., Hrdlička, R., et al. (2017). Infantile hemangiomas. Current treatment procedures | Infantilní hemangiomas. Současné tělečné protředky. Czech-Slovak Pediatrics. The supplied record lists EID 2-s2.0-85027991512.
  3. Šmucler, R., & Jenčová, J. (2016). Direct and indirect treatment of pain with lasers – Update 2016. Disease. The supplied record lists EID 2-s2.0-84992323214. Full bibliographic details and a DOI were not provided.

Research Impact

The supplied bibliometric figures report 208 citations across 42 documents and an h-index of 8. If these values correspond to the correct author profile and are current, they offer a descriptive view of the indexed research record. Citation counts can indicate scholarly attention, while the h-index combines publication productivity and citation accumulation. Neither measure directly assesses methodological rigor, societal benefit, originality or the contribution of an individual author to collaborative publications. [1] [3]

Award Suitability

The Best Researcher Award designation is associated in the submitted material with the International PopularScientist Awards. A scholarly evaluation for this type of recognition can consider publication records, citation indicators, originality, research quality, collaboration, contributions to the field and documented academic or professional impact. Bibliometric indicators can provide useful context, but they are most informative when combined with qualitative examination of the underlying work and clear eligibility criteria. [3]

Conclusion

This academic recognition profile summarizes the supplied information for Bülent Bayraktar, including the reported affiliation with Bayburt Universitesi in Turkey, the subject area of Veterinary Science and bibliometric indicators of 42 documents, 208 citations and an h-index of 8. It places the Best Researcher Award designation within the context of the International PopularScientist Awards while distinguishing supplied information from independently verified evidence.

References

  1. Elsevier. (n.d.). Scopus author details: Bülent Bayraktar, Author ID 57212514049. Scopus. The author identifier and metrics in this article were supplied by the requester and should be checked against the live database record.
    https://www.scopus.com/authid/detail.uri?authorId=57212514049
  2. ORCID. (n.d.). ORCID researcher identifier 0000-0002-2335-9089. ORCID provides persistent digital identifiers for researchers. The association between this identifier and the profile described here should be confirmed against the public record.
    https://orcid.org/0000-0002-2335-9089
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    10.1073/pnas.0507655102.
  4. PopularScientist. (n.d.). International PopularScientist Awards. Official event website. Consult the official site for current award information and applicable recognition criteria; the existence of the website alone does not verify an individual award decision.
    https://popularscientist.com/
  5. Google Scholar. (n.d.). Scholar citation profile supplied for this article. The submitted URL is provided as a research-discovery link, but the identity of the profile holder has not been independently verified.
    https://scholar.google.com/citations?user=3wHnkBgAAAAJ&hl=tr

Zhengrong Yuan | Animal biological breeding | Best Researcher Award

Prof. Zhengrong Yuan | Animal biological breeding | Best Researcher Award

Professor | Beijing Forestry University College of Biological Sciences and Technology | China

Zhengrong Yuan is a professor at the College of Biological Sciences and Biotechnology, Beijing Forestry University, specializing in animal endocrinology, cancer bioinformatics, metabolism during hibernation, seasonal breeding, and genetic improvement of beef cattle. His research encompasses reproductive biology, genomics, bioinformatics, evolutionary and developmental biology, artificial intelligence applications in biology, and microbiomics. He has held postdoctoral positions and served as a visiting scholar focusing on muscle and fat differentiation and metabolism. Yuan has contributed extensively to the scientific literature, with publications on the ubiquitin-specific protease gene family in cattle, pan-cancer association analyses, gut microbiota and metabolic homeostasis during hibernation, and seasonal variations in reproductive and metabolic gene expression in wild animals. His work also explores the interplay between the gut microbiome and host physiology, as well as predictive genetic markers in livestock and human diseases, demonstrating a multidisciplinary approach bridging genetics, physiology, and computational biology. Yuan has led several projects funded by national and regional science foundations, investigating molecular mechanisms underlying musk secretion in muskrats, dairy mastitis, and functional genomics in livestock. He serves in leadership and editorial roles, including director of the Cattle Breeding Branch of the Chinese Animal Husbandry and Veterinary Medical Association, post scientist in industry technology systems, review editor for Frontiers in Microbiology, and guest editor for Metabolites. His work integrates cutting-edge genomic and bioinformatic tools with applied animal science, advancing knowledge in animal physiology, reproductive biology, and disease resistance, while contributing to the development of innovative strategies for livestock breeding and management.

Profile: Scopus | Orcid | Google Scholar

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Gu, X., Chen, Y., Hu, X., Li, Y., Zhu, R., Li, H., Yuan, Z., & Wang, Y. (2025). Exploring autophagy-related gene expression in hepatocellular carcinoma via TCGA, GEPIA2, and HPA databases: Implications for prognosis. Journal of Hepatocellular Carcinoma.

Li, H., Hu, X., Wang, L., Gu, X., Chen, S., Tang, Y., Chen, J., Yuan, Z., & Wang, Y. (2025). The expression of ferroptosis-related genes in hepatocellular carcinoma and their relationships with prognosis. Journal of Hepatocellular Carcinoma.

Wang, L., Li, Y., Zhang, Z., Song, F., Zan, Y., Zheng, R., & Yuan, Z. (2024). Decoding the genetic code: Scientific exploration of the telomere-totelomere (T2T) genome. Current Bioinformatics.

Zhang, C., Wang, Z., Liu, X., Liu, X., Liu, T., Feng, Y., Yuan, Z., Jia, Z., & Zhang, Y. (2024). Akkermansia muciniphila administration ameliorates streptozotocin-induced hyperglycemia and muscle atrophy by promoting IGF2 secretion from mouse intestine. iMeta.

Xu, Y., Ma, Z., Wang, Y., Zhang, L., Ye, J., Chen, Y., & Yuan, Z. (2024). CuPCA: A web server for pan-cancer association analysis of large-scale cuproptosis-related genes. Database.