G Proud
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Renal Transplantation Outcomes and Treatments 49
- Nephrology 19
- Renal Diseases and Glomerulopathies 13
- Co-authors
- R. M. TaylorB.K. ShentonThomas W. J. LennardJohn ForsytheKeith RiggP. K. DonnellyJohn A. KirbyRobert M. Taylor
- Journals
- Transplant International (18 papers)British journal of surgery (14 papers)Transplantation (13 papers)Nephrology Dialysis Transplantation (3 papers)Annals of the New York Academy of Sciences (3 papers)
- Partner nations
- United KingdomUnited StatesNigeria
In The Last Decade
G Proud
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Transplantation 510
- Nephrology 207
- Immunology 443
- Biochemistry 108
- Surgery 781
Countries citing papers authored by G Proud
This map shows the geographic impact of G Proud'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 G Proud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Proud more than expected).
Fields of papers citing papers by G Proud
This network shows the impact of papers produced by G Proud. 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 G Proud. The network helps show where G Proud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G Proud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Surgical training and the trainer: creating the ideal situation. | 1999 | 1 |
| 2 | 1995 | 3 | |
| 3 | 1995 | 18 | |
| 4 | 1994 | 13 | |
| 5 | 1994 | 25 | |
| 6 | 1993 | 1 | |
| 7 | 1993 | 38 | |
| 8 | 1993 | 12 | |
| 9 | Flow-cytometric monitoring of ATG therapy for steroid-resistant rejection. | 1992 | 2 |
| 10 | 1992 | 27 | |
| 11 | 1992 | 30 | |
| 12 | 1991 | 10 | |
| 13 | 1991 | 14 | |
| 14 | 1990 | 21 | |
| 15 | 1990 | 33 | |
| 16 | 1989 | 31 | |
| 17 | 1989 | 57 | |
| 18 | 1988 | 12 | |
| 19 | 1985 | 14 | |
| 20 | 1977 | 3 |
About G Proud
G Proud is a scholar working on Transplantation, Nephrology, Immunology, Hematology and Surgery, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (49 papers), Organ Donation and Transplantation (19 papers), Organ Transplantation Techniques and Outcomes (19 papers), Renal Diseases and Glomerulopathies (13 papers), Complement system in diseases (12 papers), Renal and Vascular Pathologies (11 papers), T-cell and B-cell Immunology (10 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Transplantation (510 citations), Nephrology (207 citations), Immunology (443 citations), Biochemistry (108 citations) and Surgery (781 citations). G Proud has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include R. M. Taylor, B.K. Shenton, Thomas W. J. Lennard, John Forsythe, Keith Rigg, P. K. Donnelly, John A. Kirby, Robert M. Taylor, Kevin Clark and Michael White. Their work appears in journals such as Transplant International, British journal of surgery, Transplantation, Nephrology Dialysis Transplantation and Annals of the New York Academy of Sciences.
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.