Janesh Kumar

1.7k citations
49 papers · 1.3k · h-index 20

Impact in

Papers in

Janesh Kumar

45 papers receiving 1.3k citations

Peers

Janesh Kumar
Comparison fields: 5 of 107
  • Structural Biology 95
  • Cellular and Molecular Neuroscience 678
  • Molecular Biology 898
  • Toxicology 33
  • Spectroscopy 126
Replace Prashant Rao with:
Prashant Rao United States
Joel R. Meyerson United States
Moran Shalev-Benami Israel
Jeffrey T. Tarrasch United States
Sagar Chittori United States
David P. Bulkley United States
James Krieger United States
Yanyu Zhao China
Javier García‐Nafría United Kingdom
Alexander Myasnikov United States
Janesh Kumar relative to Prashant Rao United States Prashant Rao's profile →
Citations per field
00.5×1.5×2×2.3×
Prashant Rao · 1×
Citations per year

Countries citing papers authored by Janesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Janesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Janesh Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Janesh Kumar Line = papers co-authored together Janesh Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014190
2 2012112
3 201199
4 200993
5 201480
6 201160
7 201256
8 201242
9 200442
10 202141
11 201039
12 202038
13 201038
14 202128
15 202025
16 201923
17 202022
18 201922
19 200122
20 202122

About Janesh Kumar

Janesh Kumar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Structural Biology, Nutrition and Dietetics and Biotechnology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Receptor Mechanisms and Signaling (10 papers), Ion channel regulation and function (9 papers), Studies on Chitinases and Chitosanases (5 papers), Lipid Membrane Structure and Behavior (4 papers), Molecular Sensors and Ion Detection (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Structural Biology (95 citations), Cellular and Molecular Neuroscience (678 citations), Molecular Biology (898 citations), Toxicology (33 citations) and Spectroscopy (126 citations). Janesh Kumar has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Mark L. Mayer, Peter Schuck, Jason Pierson, Prashant Rao, Sagar Chittori, Sriram Subramaniam, Joel R. Meyerson, Mark L. Mayer, Alberto Bartesaghi and Rongsheng Jin. Their work appears in journals such as Journal of Structural Biology, International Journal of Biological Macromolecules, Journal of Molecular Biology, Communications Biology and Nature Structural & Molecular 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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