David Briggs
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Renal Transplantation Outcomes and Treatments 48
- Immunology 31
- T-cell and B-cell Immunology 18
- Immune Cell Function and Interaction 13
- Co-authors
- Roger G. Gosden (3 shared papers)Kutluk Oktay (1 shared paper)Robert Higgins (22 shared papers)Sunil Daga (17 shared papers)Ken I. Welsh (17 shared papers)Natasha Khovanova (6 shared papers)Torgyn Shaikhina (4 shared papers)Mark Cook (11 shared papers)
- Journals
- Transplantation (10 papers)Human Immunology (6 papers)Annals of the Rheumatic Diseases (5 papers)Lara D. Veeken (4 papers)International Journal of Immunogenetics (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Briggs
113 papers receiving 3.3k citations
David Briggs's Hit Papers
Peers
Comparison fields: 5 of 164
- Transplantation 693
- Immunology 840
- Reproductive Medicine 317
- Hematology 310
- Nephrology 185
Countries citing papers authored by David Briggs
This map shows the geographic impact of David Briggs'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 David Briggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Briggs more than expected).
Fields of papers citing papers by David Briggs
This network shows the impact of papers produced by David Briggs. 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 David Briggs. The network helps show where David Briggs may publish in the future.
Co-authors
The 25 scholars most cited alongside David Briggs, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation Hit paper breakdown → | 2017 | 263 |
| 2 | 1997 | 257 | |
| 3 | 1998 | 151 | |
| 4 | 2003 | 151 | |
| 5 | 1999 | 133 | |
| 6 | 1991 | 101 | |
| 7 | 1996 | 90 | |
| 8 | 2015 | 86 | |
| 9 | 2015 | 83 | |
| 10 | 1997 | 70 | |
| 11 | 2008 | 62 | |
| 12 | 2007 | 59 | |
| 13 | 2012 | 58 | |
| 14 | 1987 | 56 | |
| 15 | 1996 | 54 | |
| 16 | 2011 | 53 | |
| 17 | 2003 | 49 | |
| 18 | 2008 | 49 | |
| 19 | 2013 | 49 | |
| 20 | 2000 | 47 |
About David Briggs
David Briggs is a scholar working on Transplantation, Immunology, Surgery, Pathology and Forensic Medicine and Hematology, having authored 116 papers that have together received 3.4k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (48 papers), T-cell and B-cell Immunology (18 papers), Systemic Sclerosis and Related Diseases (15 papers), Immune Cell Function and Interaction (13 papers), Organ Transplantation Techniques and Outcomes (13 papers), Renal Diseases and Glomerulopathies (12 papers), Blood groups and transfusion (10 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Transplantation (693 citations), Immunology (840 citations), Reproductive Medicine (317 citations), Hematology (310 citations) and Nephrology (185 citations). David Briggs has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Roger G. Gosden, Kutluk Oktay, Robert Higgins, Sunil Daga, Ken I. Welsh, Natasha Khovanova, Torgyn Shaikhina, Mark Cook, Dave Lowe and Paul Moss. Their work appears in journals such as Transplantation, Human Immunology, Annals of the Rheumatic Diseases, Lara D. Veeken and International Journal of Immunogenetics.
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.