Daniel B. Rainbow
Impact in
- Hepatology top 5%
- Liver Diseases and Immunity
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Genetics 20
- Diabetes and associated disorders 18
- Immunology 16
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 12
- Co-authors
- Linda S. Wicker (32 shared papers)John A. Todd (15 shared papers)Laurence B. Peterson (11 shared papers)William M. Ridgway (7 shared papers)Yuehong Wu (6 shared papers)Ricardo C. Ferreira (7 shared papers)Marcin Ł. Pękalski (7 shared papers)Antony J. Cutler (3 shared papers)
- Journals
- The Journal of Immunology (14 papers)Diabetes (5 papers)Frontiers in Immunology (3 papers)PLoS Genetics (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel B. Rainbow
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Hepatology 233
- Immunology 523
- Genetics 402
- Oncology 213
- Epidemiology 217
Countries citing papers authored by Daniel B. Rainbow
This map shows the geographic impact of Daniel B. 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 Daniel B. Rainbow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Rainbow more than expected).
Fields of papers citing papers by Daniel B. Rainbow
This network shows the impact of papers produced by Daniel B. 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 Daniel B. Rainbow. The network helps show where Daniel B. Rainbow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2006 | 141 | |
| 3 | 2011 | 79 | |
| 4 | 2020 | 78 | |
| 5 | 2004 | 77 | |
| 6 | 2017 | 66 | |
| 7 | 2009 | 54 | |
| 8 | 2014 | 54 | |
| 9 | 2010 | 46 | |
| 10 | 2018 | 46 | |
| 11 | 2003 | 37 | |
| 12 | 2012 | 34 | |
| 13 | 2009 | 32 | |
| 14 | 2009 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2019 | 27 | |
| 17 | 2011 | 26 | |
| 18 | 2010 | 26 | |
| 19 | 2011 | 22 | |
| 20 | 2010 | 21 |
About Daniel B. Rainbow
Daniel B. Rainbow is a scholar working on Genetics, Immunology, Surgery, Molecular Biology and Hepatology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (12 papers), Pancreatic function and diabetes (9 papers), Liver Diseases and Immunity (4 papers), Single-cell and spatial transcriptomics (3 papers), Diabetes Management and Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (233 citations), Immunology (523 citations), Genetics (402 citations), Oncology (213 citations) and Epidemiology (217 citations). Daniel B. Rainbow has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Linda S. Wicker, John A. Todd, Laurence B. Peterson, William M. Ridgway, Yuehong Wu, Ricardo C. Ferreira, Marcin Ł. Pękalski, Antony J. Cutler, Kara Hunter and Paul Lyons. Their work appears in journals such as The Journal of Immunology, Diabetes, Frontiers in Immunology, PLoS Genetics and Nature Communications.
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.