Philip Dyer
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Renal Transplantation Outcomes and Treatments 17
- Immunology 16
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 7
- Co-authors
- Susan Martin (13 shared papers)Paul J. Sinnott (7 shared papers)Robert W. Johnson (9 shared papers)Ian V. Hutchinson (3 shared papers)Judith Worthington (2 shared papers)David M. Turner (3 shared papers)Simon C.D. Grant (2 shared papers)Stephen H. Sheldon (4 shared papers)
- Journals
- Transplantation (11 papers)Human Immunology (4 papers)Journal of Visualized Experiments (2 papers)Trends in Genetics (1 paper)Molecular Immunology (1 paper)
- Partner nations
- United KingdomSouth AfricaCanada
In The Last Decade
Philip Dyer
47 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Transplantation 541
- Immunology 528
- Nephrology 128
- Hematology 122
- Epidemiology 338
Countries citing papers authored by Philip Dyer
This map shows the geographic impact of Philip Dyer'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 Philip Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Dyer more than expected).
Fields of papers citing papers by Philip Dyer
This network shows the impact of papers produced by Philip Dyer. 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 Philip Dyer. The network helps show where Philip Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Dyer, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 255 | |
| 2 | 2003 | 252 | |
| 3 | 1997 | 221 | |
| 4 | 1995 | 105 | |
| 5 | 1998 | 101 | |
| 6 | 1987 | 91 | |
| 7 | 1996 | 83 | |
| 8 | 2023 | 78 | |
| 9 | 1993 | 60 | |
| 10 | 1980 | 34 | |
| 11 | 1986 | 33 | |
| 12 | 1993 | 30 | |
| 13 | 1997 | 30 | |
| 14 | 1989 | 29 | |
| 15 | 2001 | 20 | |
| 16 | 1992 | 20 | |
| 17 | 2016 | 17 | |
| 18 | 1988 | 16 | |
| 19 | 2012 | 13 | |
| 20 | 1991 | 12 |
About Philip Dyer
Philip Dyer is a scholar working on Transplantation, Immunology, Surgery, Molecular Biology and Epidemiology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (17 papers), T-cell and B-cell Immunology (15 papers), Organ Transplantation Techniques and Outcomes (9 papers), Immune Cell Function and Interaction (7 papers), Renal Diseases and Glomerulopathies (6 papers), Diabetes and associated disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Transplantation (541 citations), Immunology (528 citations), Nephrology (128 citations), Hematology (122 citations) and Epidemiology (338 citations). Philip Dyer has collaborated with scholars based in United Kingdom, South Africa and Canada. Frequent co-authors include Susan Martin, Paul J. Sinnott, Robert W. Johnson, Ian V. Hutchinson, Judith Worthington, David M. Turner, Simon C.D. Grant, Stephen H. Sheldon, Colin D. Short and R Harris. Their work appears in journals such as Transplantation, Human Immunology, Journal of Visualized Experiments, Trends in Genetics and Molecular Immunology.
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.