Keith Nieforth
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 4
- Virology top 5%
- HIV Research and Treatment 6
- Hepatology top 10%
- Hepatitis C virus research 3
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment 7
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- Respiratory viral infections research 5
- Influenza Virus Research Studies 3
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- Chronic Lymphocytic Leukemia Research 6
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- Statistical Methods in Clinical Trials 3
- Co-authors
- Indravadan H. PatelDiane R. MouldLawrence I. GolbeXiaoping ZhangAlbert DorrSusan LightFlavio VincentiR Nadeau
- Cited by
- TransplantationVirologyHepatology
- Journals
- Clinical Pharmacology & Therapeutics (5 papers)Open Forum Infectious Diseases (2 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Keith Nieforth
29 papers receiving 750 citations
Peers
Comparison fields: 5 of 90
- Transplantation 101
- Virology 120
- Hepatology 97
- Infectious Diseases 214
- Epidemiology 249
Countries citing papers authored by Keith Nieforth
This map shows the geographic impact of Keith Nieforth'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 Nieforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Nieforth more than expected).
Fields of papers citing papers by Keith Nieforth
This network shows the impact of papers produced by Keith Nieforth. 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 Nieforth. The network helps show where Keith Nieforth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith Nieforth, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2018 | 10 | |
| 7 | 2013 | 2 | |
| 8 | 2007 | 21 | |
| 9 | 2005 | 59 | |
| 10 | 2005 | 26 | |
| 11 | 2004 | 10 | |
| 12 | 2003 | 24 | |
| 13 | 2003 | 35 | |
| 14 | 2002 | 52 | |
| 15 | 2001 | 26 | |
| 16 | 2000 | 73 | |
| 17 | 1997 | 118 | |
| 18 | 1996 | 72 | |
| 19 | 1993 | 69 | |
| 20 | 1979 | 18 |
About Keith Nieforth
Keith Nieforth is a scholar working on Transplantation, Virology and Genetics, having authored 31 papers that have together received 792 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Respiratory viral infections research (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Influenza Virus Research Studies (3 papers), Hepatitis C virus research (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Transplantation (101 citations), Virology (120 citations) and Hepatology (97 citations). Keith Nieforth has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Indravadan H. Patel, Diane R. Mould, Lawrence I. Golbe, Xiaoping Zhang, Albert Dorr, Susan Light, Flavio Vincenti, R Nadeau, Neil Buss and Miklos Salgo. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Open Forum Infectious Diseases, CPT Pharmacometrics & Systems Pharmacology, The Journal of Clinical Pharmacology and British Journal of Clinical Pharmacology.
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.