Keith N. Stewart
- Molecular Biology
- Nephrology top 1%
- Immunology top 5%
- Physiology top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Paul A. BrownChristoph ThiemermannPrabal K. ChatterjeeHélder Mota‐FilipeSalvatore CuzzocreaNimesh S. A. PatelKai ZacharowskiEspen Ø. Kvale
- Topics
- Blood groups and transfusion (12 papers)Renal Diseases and Glomerulopathies (11 papers)Renal Transplantation Outcomes and Treatments (10 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Keith N. Stewart
73 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 684
- Nephrology 489
- Immunology 426
- Physiology 369
- Pathology and Forensic Medicine 365
Countries citing papers authored by Keith N. Stewart
This map shows the geographic impact of Keith N. Stewart'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 Keith N. Stewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith N. Stewart more than expected).
Fields of papers citing papers by Keith N. Stewart
This network shows the impact of papers produced by Keith N. Stewart. 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 Keith N. Stewart. The network helps show where Keith N. Stewart may publish in the future.
Co-authorship network of co-authors of Keith N. Stewart
This figure shows the co-authorship network connecting the top 25 collaborators of Keith N. Stewart. A scholar is included among the top collaborators of Keith N. Stewart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keith N. Stewart. Keith N. Stewart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 128 | |
| 3 | 4 | |
| 4 | 128 | |
| 5 | 68 | |
| 6 | 17 | |
| 7 | 129 | |
| 8 | 3 | |
| 9 | Integrin distribution in normal kidney and cultured human glomerular cells. | 2 |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | Relative effects of major and minor histocompatibility locus antigens on the generation of suppressor activity by blood transfusions. | 1 |
| 15 | 3 | |
| 16 | 30 | |
| 17 | 3 | |
| 18 | Noncytotoxic Autoantibodies and Alloantibodies in Renal-Transplantation | 1 |
| 19 | BENEFICIAL ANTIBODIES IN RENAL-TRANSPLANTATION DEVELOPING AFTER BLOOD-TRANSFUSION - EVIDENCE FOR HLA LINKAGE | 3 |
| 20 | Lymphocyte-B antibodies in successful renal-transplantation and successful pregnancy | 1 |
About Keith N. Stewart
Keith N. Stewart is a scholar working on Transplantation, Nephrology and Hematology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blood groups and transfusion (12 papers), Renal Diseases and Glomerulopathies (11 papers) and Renal Transplantation Outcomes and Treatments (10 papers). The work is most often cited by research in Nephrology (489 citations), Biochemistry (327 citations) and Transplantation (92 citations). Keith N. Stewart has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Paul A. Brown, Christoph Thiemermann, Prabal K. Chatterjee, Hélder Mota‐Filipe, Salvatore Cuzzocrea, Nimesh S. A. Patel, Kai Zacharowski, Espen Ø. Kvale, Andrew J. Rees and Ahila Sivarajah. Their work appears in journals such as The Lancet, The Journal of Immunology and PLoS ONE.
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.