J. D. Wilson
- Urology top 5%
- Immunology top 5%
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 3
- Blood disorders and treatments 3
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 3
- Blood disorders and treatments 3
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- Monoclonal and Polyclonal Antibodies Research 9
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- Erythrocyte Function and Pathophysiology 6
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- Blood properties and coagulation 3
- Co-authors
- G. J. V. NossalDavid W. RussellJulianne Imperato‐McGinleyG. PangAntonio A. CantúGilbert LaporteP. R. BrownMichael J. McPhaul
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
J. D. Wilson
53 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Urology 151
- Immunology 480
- Endocrinology, Diabetes and Metabolism 304
- Genetics 162
- Genetics 273
Countries citing papers authored by J. D. Wilson
This map shows the geographic impact of J. D. Wilson'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. D. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D. Wilson more than expected).
Fields of papers citing papers by J. D. Wilson
This network shows the impact of papers produced by J. D. Wilson. 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. D. Wilson. The network helps show where J. D. Wilson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. D. Wilson, 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 | 2002 | 6 | |
| 2 | 1995 | 4 | |
| 3 | 1992 | 312 | |
| 4 | 1992 | 10 | |
| 5 | 1991 | 12 | |
| 6 | 1991 | 49 | |
| 7 | 1990 | 13 | |
| 8 | TG cells in peripheral blood lymphocytes from patients with rheumatoid arthritis. | 1981 | 6 |
| 9 | Testicular feminization due to a qualitatively abnormal androgen receptor | 1979 | 1 |
| 10 | Studies on the nature of EA binding by lymphocytes from rheumatoid arthritis patients. | 1977 | 5 |
| 11 | Increased EA-rosette formation by lymphocytes from patients with rheumatoid arthritis. | 1977 | 7 |
| 12 | 1976 | 20 | |
| 13 | The functions of immune T and B rosette-forming cells | 1973 | 16 |
| 14 | 1973 | 11 | |
| 15 | 1972 | 27 | |
| 16 | 1972 | 10 | |
| 17 | 1971 | 12 | |
| 18 | 1969 | 15 | |
| 19 | 1968 | 19 | |
| 20 | 1958 | 14 |
About J. D. Wilson
J. D. Wilson is a scholar working on Immunology, Conservation and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immune Cell Function and Interaction (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Immunotherapy and Immune Responses (5 papers), Blood properties and coagulation (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Urology (151 citations), Immunology (480 citations) and Endocrinology, Diabetes and Metabolism (304 citations). J. D. Wilson has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include G. J. V. Nossal, David W. Russell, Julianne Imperato‐McGinley, G. Pang, Antonio A. Cantú, Gilbert Laporte, P. R. Brown, Michael J. McPhaul, Andrew P. Miller and H. Anne Simmonds. Their work appears in journals such as Nature, The Lancet and Journal of Biological Chemistry.
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.