John J. Bright
Impact in
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 36
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 7
- Immune Response and Inflammation 6
- Immune cells in cancer 5
- Oncology 23
- Cytokine Signaling Pathways and Interactions 20
- Co-authors
- Chandramohan NatarajanGladson MuthianSubramaniam SriramSaravanan KanakasabaiWanida ChearwaeJohnson RajasinghCaigan DuHimanshu P. Raikwar
- Journals
- The Journal of Immunology (9 papers)Journal of Neuroimmunology (7 papers)British Journal of Cancer (3 papers)Journal of Clinical Immunology (3 papers)Genes and Immunity (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
John J. Bright
56 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 120
- Molecular Medicine 292
- Immunology 1.1k
- Neurology 238
- Cancer Research 377
- Developmental Neuroscience 101
Countries citing papers authored by John J. Bright
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 54 | |
| 2 | 2012 | 56 | |
| 3 | 2012 | 72 | |
| 4 | 2010 | 38 | |
| 5 | 2010 | 29 | |
| 6 | 2010 | 73 | |
| 7 | 2009 | 16 | |
| 8 | 2008 | 34 | |
| 9 | 2008 | 20 | |
| 10 | 2007 | 1 | |
| 11 | 2006 | 30 | |
| 12 | 2005 | 48 | |
| 13 | 2003 | 6 | |
| 14 | 2002 | 237 | |
| 15 | 2001 | 17 | |
| 16 | 2001 | 10 | |
| 17 | 1998 | 84 | |
| 18 | 1995 | 11 | |
| 19 | 1995 | 17 | |
| 20 | 1994 | 33 |
About John J. Bright
John J. Bright is a scholar working on Immunology, Oncology, Cancer Research, Pharmacology and Pathology and Forensic Medicine, 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), NF-κB Signaling Pathways (7 papers), Immune Response and Inflammation (6 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Molecular Medicine (292 citations), Immunology (1.1k citations), Neurology (238 citations), Cancer Research (377 citations) and Developmental Neuroscience (101 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 Genes and Immunity.
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.