Vikas Pejaver

7.0k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Vikas Pejaver is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Vikas Pejaver has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Vikas Pejaver's work include Genomics and Rare Diseases (8 papers), Genomics and Phylogenetic Studies (8 papers) and Machine Learning in Bioinformatics (4 papers). Vikas Pejaver is often cited by papers focused on Genomics and Rare Diseases (8 papers), Genomics and Phylogenetic Studies (8 papers) and Machine Learning in Bioinformatics (4 papers). Vikas Pejaver collaborates with scholars based in United States, United Kingdom and South Korea. Vikas Pejaver's co-authors include Predrag Radivojac, Stephen J. Mooney, Sean D. Mooney, Vladimir N. Uversky, A. Keith Dunker, Wei‐Lun Hsu, Fuxiao Xin, D.N. Cooper, Matthew Mort and Kymberleigh A. Pagel and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Vikas Pejaver

27 papers receiving 1.2k citations

Hit Papers

Inferring the molecular and phenotypic impact of amino ac... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vikas Pejaver United States 14 667 280 101 84 73 28 1.3k
Anurag Verma United States 20 497 0.7× 431 1.5× 107 1.1× 114 1.4× 94 1.3× 65 1.3k
Yuji Zhang United States 25 1.1k 1.7× 246 0.9× 135 1.3× 195 2.3× 96 1.3× 119 2.1k
Kathleen A. Hill Canada 25 1.0k 1.5× 252 0.9× 45 0.4× 143 1.7× 115 1.6× 81 1.7k
Ziqing Liu United States 21 1.5k 2.2× 129 0.5× 166 1.6× 131 1.6× 94 1.3× 54 2.0k
Enrique Hernández–Lemus Mexico 23 1.1k 1.7× 271 1.0× 114 1.1× 219 2.6× 28 0.4× 150 2.2k
Jingxuan Shan Qatar 14 431 0.6× 195 0.7× 66 0.7× 148 1.8× 22 0.3× 33 961
Florian Prinz Germany 10 593 0.9× 122 0.4× 93 0.9× 154 1.8× 59 0.8× 16 1.6k
Saqib Mahmood Pakistan 19 496 0.7× 195 0.7× 144 1.4× 139 1.7× 46 0.6× 82 1.4k
Attila A. Seyhan United States 25 1.5k 2.2× 168 0.6× 150 1.5× 205 2.4× 50 0.7× 54 2.3k

Countries citing papers authored by Vikas Pejaver

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vikas Pejaver

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Pejaver. A scholar is included among the top collaborators of Vikas Pejaver based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vikas Pejaver. Vikas Pejaver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Tian, et al.. (2025). Extracting and calibrating evidence of variant pathogenicity from population biobank data. The American Journal of Human Genetics. 112(8). 1805–1817. 1 indexed citations
2.
Stenton, Sarah L., Vikas Pejaver, Timothy Bergquist, et al.. (2024). Assessment of the evidence yield for the calibrated PP3/BP4 computational recommendations. Genetics in Medicine. 26(11). 101213–101213. 5 indexed citations
3.
Suri, Pradeep, Vikas Pejaver, Janna Friedly, et al.. (2023). Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data. BMC Medical Informatics and Decision Making. 23(1). 2–2. 13 indexed citations
4.
Rutledge, Stephanie, Emily R. Soper, Vikas Pejaver, et al.. (2023). Association of HSD17B13 and PNPLA3 With Liver Enzymes and Fibrosis in Hispanic/Latino Individuals of Diverse Genetic Ancestries. Clinical Gastroenterology and Hepatology. 21(10). 2578–2587.e11. 13 indexed citations
5.
Fu, Sunyang, Liwei Wang, Sungrim Moon, et al.. (2022). Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review. Clinical and Translational Science. 16(3). 398–411. 16 indexed citations
6.
Pejaver, Vikas, et al.. (2021). A Comparison of Natural Language Processing Methods for the Classification of Lumbar Spine Imaging Findings Related to Lower Back Pain. Academic Radiology. 29. S188–S200. 7 indexed citations
7.
Gombar, Saurabh, Timothy Bergquist, Vikas Pejaver, et al.. (2021). SARS-CoV-2 infection and COVID-19 severity in individuals with prior seasonal coronavirus infection. Diagnostic Microbiology and Infectious Disease. 100(2). 115338–115338. 18 indexed citations
8.
Pejaver, Vikas, Jorge Urresti, Jose Lugo-Martinez, et al.. (2020). Inferring the molecular and phenotypic impact of amino acid variants with MutPred2. Nature Communications. 11(1). 5918–5918. 426 indexed citations breakdown →
9.
Fernandes, Jason D., Sarvenaz Sarabipour, Christopher T. Smith, et al.. (2020). A survey-based analysis of the academic job market. eLife. 9. 44 indexed citations
11.
Joshi, Rohan P., Vikas Pejaver, Heungsup Sung, et al.. (2020). A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results. Journal of Clinical Virology. 129. 104502–104502. 38 indexed citations
12.
Ismail, Wazim Mohammed, Kymberleigh A. Pagel, Vikas Pejaver, et al.. (2018). The sequencing and interpretation of the genome obtained from a Serbian individual. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
13.
Wang, Junling, Vikas Pejaver, Geoffrey P. Dann, et al.. (2018). Target site specificity and in vivo complexity of the mammalian arginylome. Scientific Reports. 8(1). 16177–16177. 21 indexed citations
14.
Lugo-Martinez, Jose, Vikas Pejaver, Kymberleigh A. Pagel, et al.. (2016). The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease. PLoS Computational Biology. 12(8). e1005091–e1005091. 15 indexed citations
15.
Pejaver, Vikas, et al.. (2015). Position of Proline Mediates the Reactivity of S-Palmitoylation. ACS Chemical Biology. 10(11). 2529–2536. 4 indexed citations
16.
Suzuki, Haruo, Amy L. Dapper, Craig E. Jackson, et al.. (2015). Draft Genome Sequence of Caedibacter varicaedens, a Kappa Killer Endosymbiont Bacterium of the Ciliate Paramecium biaurelia. Genome Announcements. 3(6). 7 indexed citations
17.
Pejaver, Vikas, Wei-Lun Hsu, A. Keith Dunker, Vladimir N. Uversky, & Predrag Radivojac. (2014). The structural and functional signatures of proteins that undergo multiple events of post-translational modification. PMC. 11 indexed citations
18.
Li, Zhiyu, Jonathan M. Dilger, Vikas Pejaver, et al.. (2014). Intrinsic size parameters for palmitoylated and carboxyamidomethylated peptides. International Journal of Mass Spectrometry. 368. 6–14. 16 indexed citations
19.
Pejaver, Vikas, Wei‐Lun Hsu, Fuxiao Xin, et al.. (2014). The structural and functional signatures of proteins that undergo multiple events of post‐translational modification. Protein Science. 23(8). 1077–1093. 280 indexed citations
20.
Pejaver, Vikas & Sun Kim. (2011). Gene Cluster Profile Vectors: a method to infer functionally related gene sets by grouping proximity-based gene clusters. BMC Genomics. 12(Suppl 2). S2–S2. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026