David Briggs
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Renal Transplantation Outcomes and Treatments 55
- Immunology 34
- T-cell and B-cell Immunology 19
- Immune Cell Function and Interaction 14
- Co-authors
- Roger Gordon Gosden (3 shared papers)David P. Lowe (27 shared papers)Robert Higgins (24 shared papers)Sunil Daga (20 shared papers)Ken I. Welsh (17 shared papers)Kutluk Oktay (1 shared paper)Natalia A. Khovanova (10 shared papers)Torgyn Shaikhina (4 shared papers)
- Journals
- Transplantation (11 papers)Human Immunology (7 papers)American Journal of Transplantation (5 papers)Annals of the Rheumatic Diseases (5 papers)Lara D. Veeken (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Briggs
120 papers receiving 3.6k citations
David Briggs's Hit Papers
Peers
Comparison fields: 5 of 165
- Transplantation 839
- Immunology 908
- Reproductive Medicine 344
- Hematology 347
- Nephrology 216
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 124 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 | 286 |
| 2 | 1997 | 273 | |
| 3 | 1998 | 162 | |
| 4 | 2003 | 160 | |
| 5 | 1999 | 136 | |
| 6 | 1991 | 117 | |
| 7 | 1996 | 98 | |
| 8 | 2015 | 93 | |
| 9 | 2015 | 92 | |
| 10 | 1997 | 73 | |
| 11 | 1987 | 67 | |
| 12 | 2008 | 65 | |
| 13 | 2007 | 65 | |
| 14 | 2011 | 64 | |
| 15 | 2012 | 63 | |
| 16 | 2008 | 61 | |
| 17 | 1996 | 61 | |
| 18 | 2015 | 53 | |
| 19 | 2013 | 52 | |
| 20 | 1986 | 52 |
About David Briggs
David Briggs is a scholar working on Transplantation, Immunology, Nephrology, Hematology and Pathology and Forensic Medicine, having authored 124 papers that have together received 3.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (55 papers), T-cell and B-cell Immunology (19 papers), Organ Transplantation Techniques and Outcomes (16 papers), Systemic Sclerosis and Related Diseases (15 papers), Immune Cell Function and Interaction (14 papers), Renal Diseases and Glomerulopathies (14 papers), Blood groups and transfusion (11 papers) and Transplantation: Methods and Outcomes (9 papers). The work is most often cited by research in Transplantation (839 citations), Immunology (908 citations), Reproductive Medicine (344 citations), Hematology (347 citations) and Nephrology (216 citations). David Briggs has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Roger Gordon Gosden, David P. Lowe, Robert Higgins, Sunil Daga, Ken I. Welsh, Kutluk Oktay, Natalia A. Khovanova, Torgyn Shaikhina, Mark A. Cook and Paul Moss. Their work appears in journals such as Transplantation, Human Immunology, American Journal of Transplantation, Annals of the Rheumatic Diseases and Lara D. Veeken.
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.