John R. Silkensen
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 5%
Papers in
- Oncology 8
- Clusterin in disease pathology 8
-
- Biomarkers in Disease Mechanisms 6
- Co-authors
- Mark E. Rosenberg (5 shared papers)Jon J. Snyder (2 shared papers)Barbara Danielson (2 shared papers)Bertram L. Kasiske (2 shared papers)Rajiv Shah (1 shared paper)David Dahl (1 shared paper)Chitra Kandaswamy (1 shared paper)Shakeel Anjum (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (3 papers)Transplantation (2 papers)American Journal of Kidney Diseases (2 papers)The International Journal of Biochemistry & Cell Biology (1 paper)Biochemistry and Cell Biology (1 paper)
- Partner nations
- United StatesMexicoSpain
In The Last Decade
John R. Silkensen
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Transplantation 302
- Nephrology 137
- Oncology 471
- Immunology 225
- Psychiatry and Mental health 105
Countries citing papers authored by John R. Silkensen
This map shows the geographic impact of John R. Silkensen'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 John R. Silkensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Silkensen more than expected).
Fields of papers citing papers by John R. Silkensen
This network shows the impact of papers produced by John R. Silkensen. 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 John R. Silkensen. The network helps show where John R. Silkensen may publish in the future.
Co-authors
The 25 scholars most cited alongside John R. Silkensen, 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 | 1995 | 364 | |
| 2 | 2004 | 296 | |
| 3 | 2000 | 68 | |
| 4 | 1995 | 66 | |
| 5 | Clusterin and the kidney. | 1995 | 49 |
| 6 | 1994 | 46 | |
| 7 | 2003 | 41 | |
| 8 | 1998 | 37 | |
| 9 | 2001 | 32 | |
| 10 | 1997 | 25 | |
| 11 | 1998 | 20 | |
| 12 | 1999 | 13 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 1 | |
| 15 | 2000 | 1 |
About John R. Silkensen
John R. Silkensen is a scholar working on Oncology, Immunology, Transplantation, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clusterin in disease pathology (8 papers), Biomarkers in Disease Mechanisms (6 papers), Renal Transplantation Outcomes and Treatments (5 papers), Renal and Vascular Pathologies (4 papers), Organ Donation and Transplantation (3 papers), Neurological Complications and Syndromes (2 papers), Dialysis and Renal Disease Management (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Transplantation (302 citations), Nephrology (137 citations), Oncology (471 citations), Immunology (225 citations) and Psychiatry and Mental health (105 citations). John R. Silkensen has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include Mark E. Rosenberg, Jon J. Snyder, Barbara Danielson, Bertram L. Kasiske, Rajiv Shah, David Dahl, Chitra Kandaswamy, Shakeel Anjum, J. Carlos Manivel and Mark E. Rosenberg. Their work appears in journals such as Journal of the American Society of Nephrology, Transplantation, American Journal of Kidney Diseases, The International Journal of Biochemistry & Cell Biology and Biochemistry and Cell Biology.
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.