Mark Peakman
Impact in
- Immunology top 0.2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 0.1%
- Diabetes and associated disorders
Papers in
- Genetics 144
- Diabetes and associated disorders 139
- Immunology 121
- Immune Cell Function and Interaction 89
- T-cell and B-cell Immunology 58
- Immunotherapy and Immune Responses 18
- Co-authors
- Bart O. Roep (35 shared papers)Timothy Tree (32 shared papers)Colin Dayan (20 shared papers)Diego Vergani (53 shared papers)Sefina Arif (32 shared papers)Amanda J. Bishop (3 shared papers)Ania Skowera (23 shared papers)Andrew K. Sewell (21 shared papers)
- Journals
- Diabetes (27 papers)Clinical & Experimental Immunology (22 papers)Diabetologia (21 papers)The Journal of Immunology (16 papers)Diabetic Medicine (9 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Mark Peakman
241 papers receiving 11.1k citations
Mark Peakman's Hit Papers
Peers
Comparison fields: 5 of 143
- Immunology 5.4k
- Genetics 5.6k
- Endocrinology, Diabetes and Metabolism 3.2k
- Surgery 3.8k
- Virology 274
Countries citing papers authored by Mark Peakman
This map shows the geographic impact of Mark Peakman'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 Mark Peakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Peakman more than expected).
Fields of papers citing papers by Mark Peakman
This network shows the impact of papers produced by Mark Peakman. 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 Mark Peakman. The network helps show where Mark Peakman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Peakman, 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 244 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Defective Suppressor Function in CD4+CD25+ T-Cells From Patients With Type 1 Diabetes Hit paper breakdown → | 2005 | 676 |
| 2 | 2004 | 401 | |
| 3 | 2011 | 320 | |
| 4 | 2008 | 298 | |
| 5 | 2007 | 219 | |
| 6 | 2012 | 190 | |
| 7 | 2014 | 178 | |
| 8 | 2011 | 173 | |
| 9 | 2012 | 163 | |
| 10 | 2010 | 159 | |
| 11 | 2012 | 157 | |
| 12 | 1996 | 156 | |
| 13 | 2013 | 150 | |
| 14 | 2013 | 144 | |
| 15 | 2017 | 141 | |
| 16 | 2008 | 139 | |
| 17 | 2017 | 123 | |
| 18 | 2012 | 120 | |
| 19 | 2008 | 117 | |
| 20 | 2008 | 117 |
About Mark Peakman
Mark Peakman is a scholar working on Genetics, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 244 papers that have together received 11.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (139 papers), Immune Cell Function and Interaction (89 papers), Pancreatic function and diabetes (79 papers), Diabetes Management and Research (72 papers), T-cell and B-cell Immunology (58 papers), Immunotherapy and Immune Responses (18 papers), CAR-T cell therapy research (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Immunology (5.4k citations), Genetics (5.6k citations), Endocrinology, Diabetes and Metabolism (3.2k citations), Surgery (3.8k citations) and Virology (274 citations). Mark Peakman has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Bart O. Roep, Timothy Tree, Colin Dayan, Diego Vergani, Sefina Arif, Amanda J. Bishop, Ania Skowera, Andrew K. Sewell, Matthias von Herrath and Jennifer Tremble. Their work appears in journals such as Diabetes, Clinical & Experimental Immunology, Diabetologia, The Journal of Immunology and Diabetic Medicine.
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.