Michela Murdocca | Genetics | Innovative Research Award

Innovative Research Award

Michela Murdocca
University Of Rome Tor Vergata
Michela Murdocca
Affiliation University Of Rome Tor Vergata
Country Italy
Scopus Id 55368220500
Documents 42
Citation 944
h-index 20
Subject Area Genetics
Event International Popular Scientist Awards
Orcid 0000-0001-8088-3664

Michela Murdocca the Innovative Research Award is a recognition category associated with the International Popular Scientist Awards that highlights research characterized by originality, methodological development, interdisciplinary relevance, and potential contribution to scientific knowledge. This article presents a structured academic recognition profile for Michela Murdocca of the University Of Rome Tor Vergata, Italy, whose stated research subject area is Genetics. The supplied bibliometric profile records 42 documents, 944 citations, and an h-index of 20, providing quantitative indicators of research visibility and scholarly output.

Abstract

Michela Murdocca is presented in this academic recognition profile in connection with the Innovative Research Award at the International Popular Scientist Awards. Her institutional affiliation is the University Of Rome Tor Vergata, Italy, and her identified subject area is Genetics. According to the supplied Scopus profile information, her scholarly record comprises 42 indexed documents, 944 citations, and an h-index of 20. These indicators provide a quantitative basis for describing research productivity and citation impact, while award assessment should additionally consider originality, scientific rigor, significance, reproducibility, collaboration, and broader contribution to the field.

Keywords

Innovative Research Award; Michela Murdocca; University Of Rome Tor Vergata; Genetics; genetic research; biomedical research; research innovation; scientific impact; scholarly publications; citation analysis; International Popular Scientist Awards.

Introduction

Genetics encompasses the study of heredity, genetic variation, genome organization, gene regulation, and the molecular mechanisms through which biological information is transmitted and expressed. Contemporary genetic research increasingly integrates molecular biology, genomics, computational analysis, and translational approaches to investigate complex biological systems and disease-related mechanisms.

Research Profile

The supplied researcher profile identifies Michela Murdocca with the University Of Rome Tor Vergata in Italy and assigns Genetics as the principal subject area. The associated Scopus Author ID is 55368220500. The supplied bibliometric figures are 42 documents, 944 citations, and an h-index of 20. These values describe the research record represented in the provided profile and may change as databases are updated or additional publications become indexed.

Research Contributions

Based on the information supplied for this profile, the principal scholarly context for evaluating Michela Murdocca’s contribution is Genetics. The documented publication and citation record indicates sustained scholarly activity, while the h-index provides an additional bibliometric measure reflecting the relationship between publication output and citation frequency.

Publications

The supplied profile records 42 documents indexed in Scopus. This document does not independently reproduce a complete publication bibliography because individual publication titles, journals, years, and DOI identifiers were not included in the input data. The Scopus Author Profile provides the appropriate source for consulting the researcher’s indexed publication record and associated bibliometric information.

Research Impact

The supplied citation count of 944 and h-index of 20 indicate measurable scholarly visibility in the indexed research record. Citation metrics are useful for describing patterns of scholarly use and recognition, but they do not by themselves establish the quality, originality, or societal value of individual contributions. Responsible assessment should therefore combine bibliometric evidence with qualitative review of the underlying research.

Award Suitability

The supplied academic profile provides several factors that can be considered when evaluating suitability for an Innovative Research Award. These include an identified research specialization in Genetics, an indexed publication record of 42 documents, 944 recorded citations, and an h-index of 20. These indicators can support an evidence-based nomination, subject to verification against the current researcher record and the award’s formal evaluation criteria.

Conclusion

Michela Murdocca’s supplied academic profile places her at the University Of Rome Tor Vergata in Italy with Genetics identified as the principal subject area. The reported Scopus record of 42 documents, 944 citations, and an h-index of 20 provides quantitative evidence of an established scholarly publication and citation record. In the context of the Innovative Research Award, these indicators can serve as supporting evidence alongside a detailed qualitative assessment of originality, rigor, research significance, and demonstrated impact.

References

  1. Scopus. Author profile: Michela Murdocca, Scopus Author ID 55368220500. Elsevier. Available at: https://www.scopus.com/pages/authors/55368220500.
  2. ORCID. ORCID record for Michela Murdocca.
    https://orcid.org/0000-0001-8088-3664.
  3. International Popular Scientist Awards. Official Award Website.
    https://popularscientist.com/.

Morteza Oladnabi | Genetic | Research Excellence Award

Assoc. Prof. Dr. Morteza Oladnabi | Genetic | Research Excellence Award

Golestan University of Medical Sciences | Iran

Assoc. Prof. Dr. Morteza Oladnabi is a medical genetics researcher with strong expertise in human genetics, molecular diagnostics, and translational genomics. His research focuses on identifying genetic variants underlying inherited disorders, including neurodevelopmental conditions, neuromuscular diseases, hereditary hearing loss, ectodermal dysplasia, and rare metabolic syndromes, using whole-exome sequencing, bioinformatics, and molecular modeling. He has contributed extensively to peer-reviewed journals, with a scholarly output of 74 documents, achieving an h-index of 19 and generating approximately 26,707 citations across 23,583 citing documents, reflecting strong academic influence. His professional experience includes academic research leadership, multidisciplinary collaboration, postgraduate supervision, and integration of computational genetics, artificial intelligence, and clinical genomics to improve diagnosis, counseling, and disease prevention strategies

Citation Metrics (Scopus)

30000

24000

18000

12000

6000

0

Citations
26,707

Documents
74

h-index
19

🟦 Citations   🟥 Documents   🟩 h-index


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