Vagisha Sharma

4.9k total citations · 2 hit papers
15 papers, 1.7k citations indexed

About

Vagisha Sharma is a scholar working on Spectroscopy, Molecular Biology and Information Systems and Management. According to data from OpenAlex, Vagisha Sharma has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Spectroscopy, 10 papers in Molecular Biology and 3 papers in Information Systems and Management. Recurrent topics in Vagisha Sharma's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Vagisha Sharma is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Vagisha Sharma collaborates with scholars based in United States, United Kingdom and Japan. Vagisha Sharma's co-authors include Birgit Schilling, Michael J. MacCoss, Judith Campisi, Anja Holtz, Abhijit Kale, Luigi Ferrucci, Ok Hee Jeon, Nathan Basisty, Chisaka Kuehnemann and Samah Shah and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS Biology.

In The Last Decade

Vagisha Sharma

14 papers receiving 1.7k citations

Hit Papers

A proteomic atlas of sene... 2020 2026 2022 2024 2020 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A proteomic atlas of senescence-associated secretomes for aging biomarker development
    2020 815 citations Nathan Basisty, Abhijit Kale et al. PLoS Biology profile →
  2. Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics
    2020 313 citations Kendra J. Adams, Brian Pratt et al. Journal of Proteome Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vagisha Sharma United States 11 992 514 391 250 122 15 1.7k
Jason M. Held United States 24 1.2k 1.2× 318 0.6× 284 0.7× 116 0.5× 268 2.2× 53 2.3k
Vidya Venkatraman United States 20 670 0.7× 137 0.3× 228 0.6× 111 0.4× 104 0.9× 37 1.1k
Kazuishi Kubota Japan 20 1.1k 1.1× 503 1.0× 160 0.4× 187 0.7× 139 1.1× 43 2.0k
Armand Valsesia Switzerland 22 1.2k 1.2× 337 0.7× 150 0.4× 76 0.3× 321 2.6× 44 1.9k
Maggie P. Y. Lam United States 23 975 1.0× 122 0.2× 366 0.9× 56 0.2× 59 0.5× 52 1.4k
Francesca Sacco Italy 18 1.7k 1.7× 166 0.3× 202 0.5× 156 0.6× 124 1.0× 44 2.1k
David A. Liem United States 22 1.2k 1.2× 181 0.4× 263 0.7× 63 0.3× 84 0.7× 37 1.7k
Justina C. Wolters Netherlands 22 854 0.9× 192 0.4× 78 0.2× 101 0.4× 168 1.4× 69 1.6k
Mary Lui United States 10 1.9k 1.9× 287 0.6× 122 0.3× 235 0.9× 127 1.0× 11 2.3k

Countries citing papers authored by Vagisha Sharma

Since Specialization
Citations

This map shows the geographic impact of Vagisha Sharma'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 Vagisha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vagisha Sharma more than expected).

Fields of papers citing papers by Vagisha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vagisha Sharma. 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 Vagisha Sharma. The network helps show where Vagisha Sharma may publish in the future.

Co-authorship network of co-authors of Vagisha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Vagisha Sharma. A scholar is included among the top collaborators of Vagisha Sharma 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 Vagisha Sharma. Vagisha Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Deutsch, Eric W., Nuno Bandeira, Yasset Pérez‐Riverol, et al.. (2025). The ProteomeXchange consortium in 2026: making proteomics data FAIR. Nucleic Acids Research. 54(D1). D459–D469.
2.
Tsantilas, Kristine A., Gennifer E. Merrihew, Richard S. Johnson, et al.. (2024). A Framework for Quality Control in Quantitative Proteomics. Journal of Proteome Research. 23(10). 4392–4408. 10 indexed citations
3.
Sharma, Vagisha, et al.. (2021). Skyline Batch: An Intuitive User Interface for Batch Processing with Skyline. Journal of Proteome Research. 21(1). 289–294. 5 indexed citations
4.
Adams, Kendra J., Brian Pratt, Neelanjan Bose, et al.. (2020). Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics. Journal of Proteome Research. 19(4). 1447–1458. 313 indexed citations breakdown →
5.
Basisty, Nathan, Abhijit Kale, Ok Hee Jeon, et al.. (2020). A proteomic atlas of senescence-associated secretomes for aging biomarker development. PLoS Biology. 18(1). e3000599–e3000599. 815 indexed citations breakdown →
6.
Shulman, Nicholas, Vagisha Sharma, Josh Eckels, et al.. (2020). Audit logs to enforce document integrity in Skyline and Panorama. Bioinformatics. 36(15). 4366–4368. 5 indexed citations
7.
Sharma, Vagisha, Josh Eckels, Birgit Schilling, et al.. (2018). Panorama Public: A Public Repository for Quantitative Data Sets Processed in Skyline. Molecular & Cellular Proteomics. 17(6). 1239–1244. 158 indexed citations
8.
Bereman, Michael S., Joshua Beri, Vagisha Sharma, et al.. (2016). An Automated Pipeline to Monitor System Performance in Liquid Chromatography–Tandem Mass Spectrometry Proteomic Experiments. Journal of Proteome Research. 15(12). 4763–4769. 46 indexed citations
9.
Riffle, Michael, Gennifer E. Merrihew, Daniel Jaschob, et al.. (2015). Visualization and Dissemination of Multidimensional Proteomics Data Comparing Protein Abundance During Caenorhabditis elegans Development. Journal of the American Society for Mass Spectrometry. 26(11). 1827–1836. 6 indexed citations
10.
Sharma, Vagisha, Josh Eckels, Greg Taylor, et al.. (2014). Panorama: A Targeted Proteomics Knowledge Base. Journal of Proteome Research. 13(9). 4205–4210. 166 indexed citations
11.
Choi, Meena, Nicholas Shulman, D.R. Mani, et al.. (2014). A framework for installable external tools in Skyline. Bioinformatics. 30(17). 2521–2523. 28 indexed citations
12.
Zheng, Chunxiang, Chad R. Weisbrod, Juan D. Chavez, et al.. (2013). XLink-DB: Database and Software Tools for Storing and Visualizing Protein Interaction Topology Data. Journal of Proteome Research. 12(4). 1989–1995. 42 indexed citations
13.
Sharma, Vagisha, Jimmy K. Eng, Michael J. MacCoss, & Michael Riffle. (2012). A Mass Spectrometry Proteomics Data Management Platform. Molecular & Cellular Proteomics. 11(9). 824–831. 29 indexed citations
14.
Sharma, Vagisha, Jimmy K. Eng, Sergey Feldman, et al.. (2010). Precursor Charge State Prediction for Electron Transfer Dissociation Tandem Mass Spectra. Journal of Proteome Research. 9(10). 5438–5444. 12 indexed citations
15.
Brusniak, Mi‐Youn, Bernd Bodenmiller, David Campbell, et al.. (2008). Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC Bioinformatics. 9(1). 542–542. 56 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

Breakdown of academic impact, for papers by Jason M. Held Breakdown of academic impact, for papers by Vidya Venkatraman Breakdown of academic impact, for papers by Kazuishi Kubota Breakdown of academic impact, for papers by Armand Valsesia Breakdown of academic impact, for papers by Maggie P. Y. Lam Breakdown of academic impact, for papers by Francesca Sacco Breakdown of academic impact, for papers by David A. Liem Breakdown of academic impact, for papers by Justina C. Wolters Breakdown of academic impact, for papers by Mary Lui
Rankless by CCL
2026