Kumlesh Kumar Dev

6.0k citations
99 papers · 5.0k · h-index 40

Impact in

Papers in

Kumlesh Kumar Dev

99 papers receiving 4.9k citations

Peers

Kumlesh Kumar Dev
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 2.1k
  • Neurology 651
  • Biological Psychiatry 161
  • Developmental Neuroscience 198
  • Molecular Biology 2.9k
Replace Bernard Brugg with:
Bernard Brugg France
Dagmar Galter Sweden
Andrea Caricasole Italy
Zu‐Hang Sheng United States
Santosh R. D’Mello United States
Amy Kit Yu Fu Hong Kong
Tobías Engel Ireland
Mark L. Dell’Acqua United States
Colleen L. Forster United States
Dick Jaarsma Netherlands
Kumlesh Kumar Dev relative to Bernard Brugg France Bernard Brugg's profile →
Citations per field
00.5×1.5×2×2.4×
Bernard Brugg · 1×
Citations per year

Countries citing papers authored by Kumlesh Kumar Dev

Since Specialization
Citations

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

Fields of papers citing papers by Kumlesh Kumar Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996360
2 2000290
3 2003228
4 1999193
5 2003183
6 2004171
7 2000140
8 2007138
9 2007128
10 2002122
11 2013115
12 2016109
13 2019108
14 2007105
15 201698
16 201191
17 200790
18 200489
19 201882
20 201978

About Kumlesh Kumar Dev

Kumlesh Kumar Dev is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Physiology and Cell Biology, having authored 99 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Sphingolipid Metabolism and Signaling (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (10 papers), Ion channel regulation and function (9 papers), Multiple Sclerosis Research Studies (8 papers), Receptor Mechanisms and Signaling (8 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Neurology (651 citations), Biological Psychiatry (161 citations), Developmental Neuroscience (198 citations) and Molecular Biology (2.9k citations). Kumlesh Kumar Dev has collaborated with scholars based in Ireland, Switzerland and United Kingdom. Frequent co-authors include Jeremy Martin Henley, Catherine O’Sullivan, Shigetada Nakanishi, Sinéad A. O’Sullivan, Graham K. Sheridan, Ramesh Chittajallu, Graham L. Collingridge, Anis Khusro Mir, Janine M. Barnes and Florian Müllershausen. Their work appears in journals such as Neuropharmacology, Journal of Neurochemistry, Glia, Journal of Biological Chemistry and PLoS ONE.

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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