Thomas W. H. Kay
- Immunology top 0.5%
- Immune Cell Function and Interaction 48
- T-cell and B-cell Immunology 29
- Immune Response and Inflammation 10
- Genetics top 0.2%
- Diabetes and associated disorders 115
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- Diabetes Management and Research 49
- Surgery top 0.5%
- Pancreatic function and diabetes 112
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 16
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- Endoplasmic Reticulum Stress and Disease 9
- Co-authors
- Helen E. ThomasRima DarwicheLeonard C. HarrisonBalasubramanian KrishnamurthyIain L. CampbellJanette AllisonMark M. W. ChongLeonie Oxbrow
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)The Lancet (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Thomas W. H. Kay
199 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Immunology 3.9k
- Genetics 4.5k
- Endocrinology, Diabetes and Metabolism 2.4k
- Surgery 4.0k
- Oncology 1.4k
Countries citing papers authored by Thomas W. H. Kay
This map shows the geographic impact of Thomas W. H. Kay'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 Thomas W. H. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas W. H. Kay more than expected).
Fields of papers citing papers by Thomas W. H. Kay
This network shows the impact of papers produced by Thomas W. H. Kay. 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 Thomas W. H. Kay. The network helps show where Thomas W. H. Kay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas W. H. Kay, 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 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2019 | 38 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 29 | |
| 13 | 2015 | 50 | |
| 14 | 2014 | 89 | |
| 15 | 2013 | 72 | |
| 16 | Demonstration of islet-autoreactive CD8 T cells in insulitic lesions from recent onset and long-term type 1 diabetes patientsbreakdown → | 2012 | 509 |
| 17 | 2006 | 142 | |
| 18 | 2004 | 88 | |
| 19 | 2003 | 43 | |
| 20 | 1998 | 37 |
About Thomas W. H. Kay
Thomas W. H. Kay is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism, having authored 200 papers that have together received 10.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (115 papers), Pancreatic function and diabetes (112 papers), Diabetes Management and Research (49 papers), Immune Cell Function and Interaction (48 papers), T-cell and B-cell Immunology (29 papers), Cytokine Signaling Pathways and Interactions (16 papers), Immune Response and Inflammation (10 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). The work is most often cited by research in Immunology (3.9k citations), Genetics (4.5k citations) and Endocrinology, Diabetes and Metabolism (2.4k citations). Thomas W. H. Kay has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Helen E. Thomas, Rima Darwiche, Leonard C. Harrison, Balasubramanian Krishnamurthy, Iain L. Campbell, Janette Allison, Mark M. W. Chong, Leonie Oxbrow, Kate L. Graham and Mark McKenzie. Their work appears in journals such as Cell, 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.