Kim Dawe
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Genetics top 10%
- Diabetes and associated disorders
Papers in
- Immunology 10
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- Genetics 6
- Diabetes and associated disorders 6
- Co-authors
- Eva Dahlén (5 shared papers)Gunnar Hedlund (5 shared papers)Lennart Ohlsson (3 shared papers)Anne Cooke (7 shared papers)Patricia Hutchings (6 shared papers)Brian Champion (4 shared papers)Mario Geysen (3 shared papers)Ivan M. Roitt (5 shared papers)
- Journals
- The Journal of Immunology (2 papers)The Journal of Experimental Medicine (2 papers)European Journal of Immunology (2 papers)Journal of Autoimmunity (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Kim Dawe
13 papers receiving 649 citations
Peers
Comparison fields: 5 of 62
- Immunology 403
- Genetics 321
- Endocrinology, Diabetes and Metabolism 190
- Surgery 144
- Radiology, Nuclear Medicine and Imaging 58
Countries citing papers authored by Kim Dawe
This map shows the geographic impact of Kim Dawe'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 Kim Dawe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Dawe more than expected).
Fields of papers citing papers by Kim Dawe
This network shows the impact of papers produced by Kim Dawe. 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 Kim Dawe. The network helps show where Kim Dawe may publish in the future.
Co-authors
The 23 scholars most cited alongside Kim Dawe, 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 | Dendritic cells and macrophages are the first and major producers of TNF-alpha in pancreatic islets in the nonobese diabetic mouse. | 1998 | 152 |
| 2 | 1998 | 139 | |
| 3 | 1991 | 85 | |
| 4 | 2000 | 83 | |
| 5 | 1992 | 69 | |
| 6 | 1993 | 35 | |
| 7 | 1992 | 27 | |
| 8 | 1993 | 20 | |
| 9 | 2000 | 19 | |
| 10 | 1996 | 17 | |
| 11 | 1993 | 10 | |
| 12 | 1987 | 8 | |
| 13 | 2003 | 4 |
About Kim Dawe
Kim Dawe is a scholar working on Immunology, Genetics, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 13 papers that have together received 668 indexed citations. Recurring topics across this work include Diabetes and associated disorders (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Pancreatic function and diabetes (3 papers), Thyroid Disorders and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (403 citations), Genetics (321 citations), Endocrinology, Diabetes and Metabolism (190 citations), Surgery (144 citations) and Radiology, Nuclear Medicine and Imaging (58 citations). Kim Dawe has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Eva Dahlén, Gunnar Hedlund, Lennart Ohlsson, Anne Cooke, Patricia Hutchings, Brian Champion, Mario Geysen, Ivan M. Roitt, I M Roitt and Nicole M. Parish. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, European Journal of Immunology, Journal of Autoimmunity and Journal of Immunological Methods.
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.