Darshan Kumar

440 citations
16 papers · 325 · h-index 7

Impact in

Papers in

    • Endoplasmic Reticulum Stress and Disease 3
    • Cellular transport and secretion 3
    • Microtubule and mitosis dynamics 2

Darshan Kumar

15 papers receiving 324 citations

Peers

Darshan Kumar
Comparison fields: 5 of 64
  • Structural Biology 6
  • Cell Biology 65
  • Cardiology and Cardiovascular Medicine 80
  • Infectious Diseases 53
  • Animal Science and Zoology 27
Replace Kumiko Ishikawa with:
Kumiko Ishikawa Japan
Zan Xu United States
Nai-Yun Hsu United States
Aditya Anand United States
Sandra Dollet France
Lakshman Chelvarajan United States
Weixing Yang United States
Pei-Yu Chu Taiwan
Isabelle Piuz Switzerland
Darshan Kumar relative to Kumiko Ishikawa Japan Kumiko Ishikawa's profile →
Citations per field
00.5×1.5×2.2×
Kumiko Ishikawa · 1×
Citations per year

Countries citing papers authored by Darshan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Darshan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Darshan 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 Darshan Kumar Line = papers co-authored together Darshan Kumar links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011132
2 201261
3 201937
4 201634
5 202120
6 19959
7 20249
8 20235
9 20235
10 20234
11 20242
12 20252
13 20242
14 20252
15 20241
16 20150

About Darshan Kumar

Darshan Kumar is a scholar working on Cell Biology, Molecular Biology, Oncology, Epidemiology and Artificial Intelligence, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers), Microtubule and mitosis dynamics (2 papers), Hematological disorders and diagnostics (2 papers), AI in cancer detection (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Silk-based biomaterials and applications (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Structural Biology (6 citations), Cell Biology (65 citations), Cardiology and Cardiovascular Medicine (80 citations), Infectious Diseases (53 citations) and Animal Science and Zoology (27 citations). Darshan Kumar has collaborated with scholars based in Finland, Sweden and United Kingdom. Frequent co-authors include Eric J. Snijder, Hilde M. van der Schaar, Frank J. M. van Kuppeveld, Abraham J. Koster, Montserrat Bárcena, Ronald W.A.L. Limpens, Ilya Belevich, Eija Jokitalo, Anne‐Lore Schlaitz and Maaike van Putten. Their work appears in journals such as Molecular Biology of the Cell, Diagnostic Pathology, Frontiers in Molecular Neuroscience, Brain and mBio.

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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