Michael Ovetsky
Impact in
- Genetics top 1%
- Genomics and Rare Diseases
- BRCA gene mutations in cancer
- Genetic Associations and Epidemiology
- Genetics and Neurodevelopmental Disorders
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
Papers in
- Genetics 3
- Genomics and Rare Diseases 3
-
- Bioinformatics and Genomic Networks 1
- Biomedical Text Mining and Ontologies 1
- Genomics and Phylogenetic Studies 1
- Co-authors
- Garth Brown (2 shared papers)Kenneth Katz (2 shared papers)Donna R. Maglott (2 shared papers)Jennifer M. Lee (1 shared paper)Baoshan Gu (1 shared paper)Jennifer Anne Hart (1 shared paper)Wendy S. Rubinstein (1 shared paper)Shanmuga Chitipiralla (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)
- Partner nations
- United States
In The Last Decade
Michael Ovetsky
4 papers receiving 5.7k citations
Michael Ovetsky's Hit Papers
Peers
Comparison fields: 5 of 116
- Genetics 2.4k
- Molecular Biology 1.6k
- Cancer Research 340
- Clinical Biochemistry 104
- Health Informatics 36
Countries citing papers authored by Michael Ovetsky
This map shows the geographic impact of Michael Ovetsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Ovetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ovetsky more than expected).
Fields of papers citing papers by Michael Ovetsky
This network shows the impact of papers produced by Michael Ovetsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Ovetsky. The network helps show where Michael Ovetsky may publish in the future.
Co-authors
The 20 scholars most cited alongside Michael Ovetsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ClinVar: improving access to variant interpretations and supporting evidence Hit paper breakdown → | 2017 | 2975 |
| 2 | ClinVar: public archive of interpretations of clinically relevant variants Hit paper breakdown → | 2015 | 2095 |
| 3 | Gene: a gene-centered information resource at NCBI Hit paper breakdown → | 2014 | 535 |
| 4 | 2012 | 146 |
About Michael Ovetsky
Michael Ovetsky is a scholar working on Genetics, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 4 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Bioinformatics and Genomic Networks (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Genetics (2.4k citations), Molecular Biology (1.6k citations), Cancer Research (340 citations), Clinical Biochemistry (104 citations) and Health Informatics (36 citations). Michael Ovetsky has collaborated with scholars based in United States. Frequent co-authors include Garth Brown, Kenneth Katz, Donna R. Maglott, Jennifer M. Lee, Baoshan Gu, Jennifer Anne Hart, Wendy S. Rubinstein, Shanmuga Chitipiralla, Ricardo Villamarín-Salomón and Douglas C. Hoffman. Their work appears in journals such as Nucleic Acids Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.