J.W. Cavett
Impact in
- Immunology top 10%
- Macrophage Migration Inhibitory Factor
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Co-authors
- John B. Harley (2 shared papers)Gail R. Bruner (1 shared paper)Joshua O. Ojwang (1 shared paper)Jennifer A. Kelly (1 shared paper)Kim L. Nguyen (1 shared paper)Igor Dozmorov (1 shared paper)Joel M. Guthridge (1 shared paper)William H. Hildebrand (5 shared papers)
- Journals
- Experimental Parasitology (1 paper)Lupus Science & Medicine (1 paper)PLoS ONE (1 paper)Analytical Chemistry (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesArgentinaAustralia
In The Last Decade
J.W. Cavett
20 papers receiving 462 citations
Peers
Comparison fields: 5 of 78
- Immunology 214
- Cancer Research 101
- Rheumatology 85
- Virology 10
- Molecular Medicine 11
Countries citing papers authored by J.W. Cavett
This map shows the geographic impact of J.W. Cavett'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 J.W. Cavett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.W. Cavett more than expected).
Fields of papers citing papers by J.W. Cavett
This network shows the impact of papers produced by J.W. Cavett. 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 J.W. Cavett. The network helps show where J.W. Cavett may publish in the future.
Co-authors
The 25 scholars most cited alongside J.W. Cavett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 174 | |
| 2 | 2011 | 94 | |
| 3 | 2003 | 48 | |
| 4 | 2003 | 40 | |
| 5 | 2011 | 37 | |
| 6 | 2015 | 24 | |
| 7 | 1959 | 12 | |
| 8 | 1963 | 11 | |
| 9 | 1952 | 10 | |
| 10 | 2003 | 9 | |
| 11 | 2018 | 5 | |
| 12 | 1952 | 3 | |
| 13 | 1956 | 3 | |
| 14 | 1958 | 2 | |
| 15 | 2001 | 1 | |
| 16 | 1963 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2004 | 1 | |
| 19 | 1959 | 1 | |
| 20 | 1956 | 1 |
About J.W. Cavett
J.W. Cavett is a scholar working on Animal Science and Zoology, Immunology, Pollution, Physiology and Food Science, having authored 22 papers that have together received 479 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Insect and Pesticide Research (3 papers), Pesticide Residue Analysis and Safety (3 papers), Pesticide and Herbicide Environmental Studies (3 papers), Salivary Gland Disorders and Functions (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (214 citations), Cancer Research (101 citations), Rheumatology (85 citations), Virology (10 citations) and Molecular Medicine (11 citations). J.W. Cavett has collaborated with scholars based in United States, Argentina and Australia. Frequent co-authors include John B. Harley, Gail R. Bruner, Joshua O. Ojwang, Jennifer A. Kelly, Kim L. Nguyen, Igor Dozmorov, Joel M. Guthridge, William H. Hildebrand, M. Daniele Fallin and Andrea A. Zachary. Their work appears in journals such as Experimental Parasitology, Lupus Science & Medicine, PLoS ONE, Analytical Chemistry and Annals of the Rheumatic Diseases.
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.