Sanjay S. Kumar

1.3k citations
36 papers · 1.1k · h-index 15

Impact in

Papers in

Sanjay S. Kumar

35 papers receiving 1.0k citations

Peers

Sanjay S. Kumar
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 772
  • Developmental Neuroscience 90
  • Cognitive Neuroscience 387
  • Psychiatry and Mental health 152
  • Neurology 76
Replace Timothy Gould with:
Timothy Gould United States
Masatoshi Takita Japan
Javier Yajeya Spain
Márton B. Dobszay Sweden
Ivan Goussakov United States
Vincenza Bagetta Italy
Emilio R. Garrido-Sanabria United States
Jian‐Zhong Guo Japan
G. Kostopoulos Greece
Jennifer L. Hellier United States
Sanjay S. Kumar relative to Timothy Gould United States Timothy Gould's profile →
Citations per field
00.5×1.5×
Timothy Gould · 1×
Citations per year

Countries citing papers authored by Sanjay S. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002297
2 2006154
3 2003109
4 200172
5 200766
6 202047
7 200738
8 201431
9 201529
10 199120
11 199918
12 201218
13 201417
14 201814
15 202014
16 201212
17 201311
18
Antimicrobial Activity of Aegle marmelos Against Pathogenic Organism Compared with Control Drug
200911
19 200610
20 20209

About Sanjay S. Kumar

Sanjay S. Kumar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Psychiatry and Mental health and Computer Networks and Communications, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Memory and Neural Mechanisms (11 papers), Ion channel regulation and function (9 papers), Epilepsy research and treatment (7 papers), Neural dynamics and brain function (5 papers), Receptor Mechanisms and Signaling (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (772 citations), Developmental Neuroscience (90 citations), Cognitive Neuroscience (387 citations), Psychiatry and Mental health (152 citations) and Neurology (76 citations). Sanjay S. Kumar has collaborated with scholars based in United States, India and Italy. Frequent co-authors include John R. Huguenard, Paul S. Buckmaster, Viktor Kharazia, Alberto Bacci, Jyotsna Pilli, Stephen Beesley, Xiaoming Jin, Allon Guez, Donald S. Faber and Jack C.P. Cheng. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Neuroscience, Neuropharmacology and Nature Communications.

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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