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

Avijit Ray

29 papers receiving 1.6k citations

Peers

Avijit Ray
Comparison fields: 5 of 111
  • Immunology 896
  • Neurology 85
  • Biological Psychiatry 22
  • Pathology and Forensic Medicine 141
  • Immunology and Allergy 44
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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 2010352
2 2012219
3 2010104
4 201088
5 201584
6 201579
7 201178
8 201064
9 201764
10 201564
11 201246
12 201539
13 201033
14 200327
15 201527
16 200426
17 200424
18 201924
19 201520
20 201319

About Avijit Ray

Avijit Ray is a scholar working on Immunology, Epidemiology, Molecular Biology, 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), Immune Response and Inflammation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Multiple Sclerosis Research Studies (3 papers), Pancreatic function and diabetes (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Immunology (896 citations), Neurology (85 citations), Biological Psychiatry (22 citations), Pathology and Forensic Medicine (141 citations) and Immunology and Allergy (44 citations). Avijit Ray has collaborated with scholars based in United States, India and Egypt. 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 Journal of Visualized Experiments, The Journal of Immunology, Immunology, Journal of Hepatology 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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