John J. T. Owen
- Immunology top 0.2%
- T-cell and B-cell Immunology 42
- Immune Cell Function and Interaction 21
- Immunotherapy and Immune Responses 13
- Immune Response and Inflammation 10
- Immunodeficiency and Autoimmune Disorders 8
- Hematology top 2%
- Immunology and Allergy top 2%
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- Monoclonal and Polyclonal Antibodies Research 13
- Oncology top 5%
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- Diabetes and associated disorders 7
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- Eric J. JenkinsonRosetta KingstonMalcolm A.S. MooreMartin RaffGraham AndersonChristopher A. SmithGwyn T. WilliamsNel C. Moore
- Journals
- Nature (10 papers)Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
John J. T. Owen
99 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 4.6k
- Hematology 501
- Immunology and Allergy 255
- Radiology, Nuclear Medicine and Imaging 832
- Oncology 974
Countries citing papers authored by John J. T. Owen
This map shows the geographic impact of John J. T. Owen'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. T. Owen 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. T. Owen more than expected).
Fields of papers citing papers by John J. T. Owen
This network shows the impact of papers produced by John J. T. Owen. 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. T. Owen. The network helps show where John J. T. Owen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John J. T. Owen, 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 | 2022 | 3 | |
| 2 | 2008 | 4 | |
| 3 | 2002 | 116 | |
| 4 | 2001 | 191 | |
| 5 | 2000 | 23 | |
| 6 | 1999 | 36 | |
| 7 | 1995 | 48 | |
| 8 | 1995 | 9 | |
| 9 | 1994 | 162 | |
| 10 | 1993 | 21 | |
| 11 | 1990 | 103 | |
| 12 | 1990 | 60 | |
| 13 | 1988 | 5 | |
| 14 | Generation of T-cell function in organ culture of foetal mouse thymus. I. Mitogen responsiveness | 1976 | 33 |
| 15 | 1975 | 182 | |
| 16 | 1971 | 122 | |
| 17 | 1970 | 162 | |
| 18 | 1969 | 230 | |
| 19 | 1967 | 132 | |
| 20 | EXPERIMENTAL STUDIES ON THE DEVELOPMENT OF THE THYMUSbreakdown → | 1967 | 392 |
About John J. T. Owen
John J. T. Owen is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 101 papers that have together received 7.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (42 papers), Immune Cell Function and Interaction (21 papers), Immunotherapy and Immune Responses (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Immune Response and Inflammation (10 papers), Immunodeficiency and Autoimmune Disorders (8 papers), Diabetes and associated disorders (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Immunology (4.6k citations), Hematology (501 citations) and Immunology and Allergy (255 citations). John J. T. Owen has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Eric J. Jenkinson, Rosetta Kingston, Malcolm A.S. Moore, Martin Raff, Graham Anderson, Christopher A. Smith, Gwyn T. Williams, Nel C. Moore, Max D. Cooper and M. A. Ritter. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.