John J. Bright

3.6k citations
57 papers · 3.1k · h-index 34

Impact in

    • Curcumin's Biomedical Applications
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 19
    • T-cell and B-cell Immunology 7
    • Immune cells in cancer 5
    • Immune Response and Inflammation 5
    • Cytokine Signaling Pathways and Interactions 20

John J. Bright

56 papers receiving 3.0k citations

Peers

John J. Bright
Comparison fields: 5 of 119
  • Molecular Medicine 282
  • Immunology 993
  • Neurology 215
  • Developmental Neuroscience 100
  • Pathology and Forensic Medicine 397
Replace Akira Kondo with:
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by John J. Bright

Since Specialization
Citations

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

Fields of papers citing papers by John J. Bright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Bright. 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 John J. Bright. The network helps show where John J. Bright may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002238
2 2002185
3 2004163
4 1997118
5 2007115
6 2006114
7
TGF-beta inhibits IL-12-induced activation of Jak-STAT pathway in T lymphocytes.
1998112
8 2008109
9 1998106
10 200297
11 200391
12 199884
13 199884
14 199982
15 200578
16 201273
17 201073
18 200872
19 198367
20 199461

About John J. Bright

John J. Bright is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (20 papers), Immune Cell Function and Interaction (19 papers), Peroxisome Proliferator-Activated Receptors (14 papers), Multiple Sclerosis Research Studies (7 papers), T-cell and B-cell Immunology (7 papers), Immune cells in cancer (5 papers), Immune Response and Inflammation (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Molecular Medicine (282 citations), Immunology (993 citations), Neurology (215 citations), Developmental Neuroscience (100 citations) and Pathology and Forensic Medicine (397 citations). John J. Bright has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Chandramohan Natarajan, Gladson Muthian, Subramaniam Sriram, Saravanan Kanakasabai, Wanida Chearwae, Johnson Rajasingh, Subramaniam Sriram, Caigan Du, Himanshu P. Raikwar and S. Sriram. Their work appears in journals such as The Journal of Immunology, Journal of Neuroimmunology, British Journal of Cancer, Journal of Clinical Immunology and Cellular 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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