Vagisha Sharma

4.9k citations
15 papers · 1.7k indexed · 2 hit papers · h-index 11
Topics
Advanced Proteomics Techniques and Applications (11 papers)Mass Spectrometry Techniques and Applications (5 papers)Metabolomics and Mass Spectrometry Studies (4 papers)

In The Last Decade

Vagisha Sharma

14 papers receiving 1.7k citations

Hit Papers

A proteomic atlas of senescence-associated secretomes for...202020262022202420202020250500750

Peers

Vagisha Sharma
Comparison fields: 5 of 117
  • Molecular Biology 992
  • Physiology 514
  • Spectroscopy 391
  • Immunology 250
  • Cancer Research 122
Replace Jason M. Held with:
Jason M. Held United States
Justina C. Wolters Netherlands
Tomoaki Kahyo Japan
David A. Liem United States
David Meierhofer Germany
Armand Valsesia Switzerland
Stefan Christen Switzerland
Kazuishi Kubota Japan
Mary Lui United States
Vagisha Sharma relative to Jason M. Held United States Jason M. Held's profile →
Citations per field
00.5×4.5×
Jason M. Held · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 10
3 5
4
A proteomic atlas of senescence-associated secretomes for aging biomarker developmentbreakdown →
815
5
Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomicsbreakdown →
313
6 5
7 158
8 46
9 6
10 166
11 28
12 42
13 29
14 12
15 56

About Vagisha Sharma

Vagisha Sharma is a scholar working on Aging, Spectroscopy and Information Systems and Management, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Aging (97 citations), Spectroscopy (391 citations) and Physiology (514 citations). Vagisha Sharma has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Birgit Schilling, Michael J. MacCoss, Anja Holtz, Luigi Ferrucci, Ok Hee Jeon, Nathan Basisty, Abhijit Kale, Samah Shah, Chisaka Kuehnemann and Judith Campisi. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS Biology.

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.

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