Avijit Ray

2.0k citations
29 papers · 1.6k · h-index 20

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune cells in cancer
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 14
    • Immunotherapy and Immune Responses 9
    • Immune Response and Inflammation 3
    • Gut microbiota and health 2

Avijit Ray

29 papers receiving 1.6k citations

Peers

Avijit Ray
Comparison fields: 5 of 102
  • Immunology 816
  • Neurology 76
  • Biological Psychiatry 20
  • Pathology and Forensic Medicine 131
  • Immunology and Allergy 42
Replace Latha P. Ganesan with:
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Naruhisa Ota United States
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Citations per field
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Latha P. Ganesan · 1×
Citations per year

Countries citing papers authored by Avijit Ray

Since Specialization
Citations

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

Fields of papers citing papers by Avijit Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010356
2 2012221
3 2010108
4 201090
5 201585
6 201579
7 201179
8 201565
9 201064
10 201763
11 201246
12 201539
13 201035
14 201528
15 200427
16 200327
17 201924
18 200424
19 201520
20 201319

About Avijit Ray

Avijit Ray is a scholar working on Immunology, Molecular Biology, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (14 papers), Immunotherapy and Immune Responses (9 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Multiple Sclerosis Research Studies (3 papers), Immune Response and Inflammation (3 papers), Gut microbiota and health (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Immunology (816 citations), Neurology (76 citations), Biological Psychiatry (20 citations), Pathology and Forensic Medicine (131 citations) and Immunology and Allergy (42 citations). Avijit Ray has collaborated with scholars based in United States, India and China. Frequent co-authors include Bonnie N. Dittel, Sreemanti Basu, Nita H. Salzman, Calvin B. Williams, H. Campbell, Tapas Biswas, Luman Wang, Monica Mann, Hao Zhang and Kirkwood A. Pritchard. Their work appears in journals such as The Journal of Immunology, Journal of Visualized Experiments, Journal of Hepatology, PLoS ONE and Immunology.

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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