Vikas Pejaver
Impact in
- Health Informatics top 5%
- Genetics top 10%
- Genomics and Rare Diseases
Papers in
-
- Genomics and Phylogenetic Studies 6
- Machine Learning in Bioinformatics 3
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
- Genetics 8
- Genomics and Rare Diseases 8
- Genetic Associations and Epidemiology 2
- Forensic and Genetic Research 1
- Co-authors
- Predrag Radivojac (14 shared papers)Stephen J. Mooney (2 shared papers)Sean D. Mooney (12 shared papers)Vladimir N. Uversky (3 shared papers)A. Keith Dunker (2 shared papers)Fuxiao Xin (1 shared paper)Wei‐Lun Hsu (1 shared paper)Kymberleigh A. Pagel (4 shared papers)
- Journals
- Bioinformatics (2 papers)Human Mutation (2 papers)Nature Communications (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Vikas Pejaver
27 papers receiving 1.3k citations
Vikas Pejaver's Hit Papers
Peers
Comparison fields: 5 of 151
- Health Informatics 33
- Genetics 269
- Molecular Biology 623
- Health Information Management 25
- Aging 8
Countries citing papers authored by Vikas Pejaver
This map shows the geographic impact of Vikas Pejaver'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 Vikas Pejaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Pejaver more than expected).
Fields of papers citing papers by Vikas Pejaver
This network shows the impact of papers produced by Vikas Pejaver. 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 Vikas Pejaver. The network helps show where Vikas Pejaver may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Pejaver, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inferring the molecular and phenotypic impact of amino acid variants with MutPred2 Hit paper breakdown → | 2020 | 445 |
| 2 | 2014 | 284 | |
| 3 | 2017 | 205 | |
| 4 | 2017 | 50 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2018 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2014 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2019 | 13 | |
| 17 | The structural and functional signatures of proteins that undergo multiple events of post-translational modification | 2014 | 11 |
| 18 | 2021 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2020 | 6 |
About Vikas Pejaver
Vikas Pejaver is a scholar working on Molecular Biology, Genetics, Spectroscopy, Infectious Diseases and Artificial Intelligence, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Genomics and Phylogenetic Studies (6 papers), Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (3 papers), Genetic Associations and Epidemiology (2 papers), Ubiquitin and proteasome pathways (1 paper), Forensic and Genetic Research (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Health Informatics (33 citations), Genetics (269 citations), Molecular Biology (623 citations), Health Information Management (25 citations) and Aging (8 citations). Vikas Pejaver has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Predrag Radivojac, Stephen J. Mooney, Sean D. Mooney, Vladimir N. Uversky, A. Keith Dunker, Fuxiao Xin, Wei‐Lun Hsu, Kymberleigh A. Pagel, D.N. Cooper and Matthew Mort. Their work appears in journals such as Bioinformatics, Human Mutation, Nature Communications, Diagnostic Microbiology and Infectious Disease and Journal of the American Medical Informatics Association.
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.