Dan Rainbow
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Genetics 9
- Diabetes and associated disorders 8
- Genetic Mapping and Diversity in Plants and Animals 1
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- Linda S. Wicker (9 shared papers)Laurence B. Peterson (6 shared papers)John A. Todd (5 shared papers)Kara M. D. Hunter (5 shared papers)Barry C Healy (3 shared papers)Luc J Smink (3 shared papers)Sarah Howlett (3 shared papers)David A. Hafler (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Nature Genetics (1 paper)Nature Immunology (1 paper)Immunity (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
Dan Rainbow
10 papers receiving 891 citations
Peers
Comparison fields: 5 of 61
- Immunology 503
- Genetics 568
- Endocrinology, Diabetes and Metabolism 174
- Surgery 263
- Gastroenterology 24
Countries citing papers authored by Dan Rainbow
This map shows the geographic impact of Dan Rainbow'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 Dan Rainbow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Rainbow more than expected).
Fields of papers citing papers by Dan Rainbow
This network shows the impact of papers produced by Dan Rainbow. 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 Dan Rainbow. The network helps show where Dan Rainbow may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Rainbow, 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 | 2007 | 317 | |
| 2 | 2004 | 187 | |
| 3 | 2005 | 129 | |
| 4 | 2004 | 96 | |
| 5 | 2008 | 60 | |
| 6 | 2007 | 48 | |
| 7 | 2008 | 24 | |
| 8 | 2007 | 24 | |
| 9 | 2009 | 12 | |
| 10 | 2006 | 6 |
About Dan Rainbow
Dan Rainbow is a scholar working on Genetics, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 10 papers that have together received 903 indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (6 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Glycosylation and Glycoproteins Research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Immunology (503 citations), Genetics (568 citations), Endocrinology, Diabetes and Metabolism (174 citations), Surgery (263 citations) and Gastroenterology (24 citations). Dan Rainbow has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Linda S. Wicker, Laurence B. Peterson, John A. Todd, Kara M. D. Hunter, Barry C Healy, Luc J Smink, Sarah Howlett, David A. Hafler, Vijay Kumar Kuchroo and Zsolt Illés. Their work appears in journals such as The Journal of Immunology, Nature Genetics, Nature Immunology, Immunity and Biochemical Society Transactions.
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.