John Dibble
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Immunology 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 4
- Oncology 1
- CAR-T cell therapy research 1
- Co-authors
- Susan L. Swain (9 shared papers)Gail E. Huston (5 shared papers)Dawn M. Jelley‐Gibbs (3 shared papers)Laura Haynes (3 shared papers)Tara M. Strutt (3 shared papers)Deborah M. Brown (2 shared papers)Sheri M. Eaton (2 shared papers)Richard Dutton (2 shared papers)
- Journals
- The Journal of Immunology (6 papers)The Journal of Experimental Medicine (2 papers)Nature Medicine (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
John Dibble
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Immunology 856
- Epidemiology 346
- Infectious Diseases 84
- Oncology 94
- Virology 13
Countries citing papers authored by John Dibble
This map shows the geographic impact of John Dibble'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 Dibble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Dibble more than expected).
Fields of papers citing papers by John Dibble
This network shows the impact of papers produced by John Dibble. 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 Dibble. The network helps show where John Dibble may publish in the future.
Co-authors
The 25 scholars most cited alongside John Dibble, 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 | 2009 | 241 | |
| 2 | 2005 | 208 | |
| 3 | 2011 | 168 | |
| 4 | 2010 | 149 | |
| 5 | 2005 | 77 | |
| 6 | 2007 | 63 | |
| 7 | 2006 | 51 | |
| 8 | 2010 | 49 | |
| 9 | 2010 | 41 | |
| 10 | 2008 | 25 |
About John Dibble
John Dibble is a scholar working on Immunology, Oncology, Epidemiology, Physiology and Aging, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers), Influenza Virus Research Studies (1 paper), Adenosine and Purinergic Signaling (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (856 citations), Epidemiology (346 citations), Infectious Diseases (84 citations), Oncology (94 citations) and Virology (13 citations). John Dibble has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Susan L. Swain, Gail E. Huston, Dawn M. Jelley‐Gibbs, Laura Haynes, Tara M. Strutt, Deborah M. Brown, Sheri M. Eaton, Richard Dutton, Jonathan D. Curtis and Michael Tighe. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Nature Medicine and Nature 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.