Asit Kumar

1.3k citations
36 papers · 1.0k · h-index 17

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Tryptophan and brain disorders

Papers in

    • Extracellular vesicles in disease 11
    • RNA Interference and Gene Delivery 3
    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Long-Term Effects of COVID-19 2

Asit Kumar

35 papers receiving 1.0k citations

Peers

Asit Kumar
Comparison fields: 5 of 114
  • Neurology 233
  • Biological Psychiatry 55
  • Cancer Research 150
  • Virology 37
  • Neurology 105
Replace Lihui Zhang with:
Lihui Zhang China
Shijun Yan United States
Sushmita Jha India
Shao-Cheng Wang Taiwan
Yan Huang China
Rui F. M. Silva Portugal
Alper Bağrıyanık Türkiye
Laura Hansen United States
Asit Kumar relative to Lihui Zhang China Lihui Zhang's profile →
Citations per field
00.5×7.4×
Lihui Zhang · 1×
Citations per year

Countries citing papers authored by Asit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Asit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Asit 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 Asit Kumar Line = papers co-authored together Asit 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 2017263
2 201486
3 201783
4 201767
5 201560
6 201848
7 201446
8 202044
9 201840
10 202234
11 202033
12 202026
13 202025
14 201324
15 202018
16 202217
17 201816
18 202115
19 202012
20 202110

About Asit Kumar

Asit Kumar is a scholar working on Molecular Biology, Neurology, Infectious Diseases, Virology and Biomedical Engineering, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), HIV Research and Treatment (4 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (2 papers), Nigella sativa pharmacological applications (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Neurology (233 citations), Biological Psychiatry (55 citations), Cancer Research (150 citations), Virology (37 citations) and Neurology (105 citations). Asit Kumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Bernd L. Fiebich, Santosh Kumar, Gelareh Abulwerdi, Alan I. Faden, Harsharan S. Bhatia, Bogdan A. Stoica, David J. Loane, Alok Kumar, Stephen R. Thom and Niaz Khan. Their work appears in journals such as Scientific Reports, Viruses, Journal of Pharmacology and Experimental Therapeutics, International Immunopharmacology and Molecular Psychiatry.

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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