Keith Naylor
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Transplantation top 10%
Papers in
- Co-authors
- Cornelia M. Weyand (1 shared paper)James W. Fulbright (1 shared paper)Ewa Bryl (1 shared paper)Jörg J. Goronzy (1 shared paper)Guangjin Li (1 shared paper)Jacek M. Witkowski (1 shared paper)Abbe N. Vallejo (1 shared paper)Won‐Woo Lee (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (3 papers)Journal of Clinical Oncology (2 papers)Journal of Racial and Ethnic Health Disparities (2 papers)Journal of General Internal Medicine (2 papers)Pharmacology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Keith Naylor
26 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 422
- Transplantation 24
- Neurology 70
- Oncology 218
- Biological Psychiatry 15
Countries citing papers authored by Keith Naylor
This map shows the geographic impact of Keith Naylor'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 Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Naylor more than expected).
Fields of papers citing papers by Keith Naylor
This network shows the impact of papers produced by Keith Naylor. 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 Naylor. The network helps show where Keith Naylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Naylor, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Influence of Age on T Cell Generation and TCR Diversity Hit paper breakdown → | 2005 | 574 |
| 2 | 2012 | 124 | |
| 3 | 2007 | 98 | |
| 4 | 2019 | 74 | |
| 5 | 1998 | 35 | |
| 6 | 1999 | 32 | |
| 7 | 2011 | 26 | |
| 8 | 2002 | 22 | |
| 9 | 1999 | 21 | |
| 10 | 1999 | 21 | |
| 11 | 2020 | 18 | |
| 12 | 1998 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2001 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2020 | 4 |
About Keith Naylor
Keith Naylor is a scholar working on Oncology, Surgery, General Health Professions, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), Colorectal Cancer Screening and Detection (7 papers), Esophageal Cancer Research and Treatment (5 papers), Cell Adhesion Molecules Research (3 papers), Mechanical Circulatory Support Devices (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Cultural Competency in Health Care (2 papers). The work is most often cited by research in Immunology (422 citations), Transplantation (24 citations), Neurology (70 citations), Oncology (218 citations) and Biological Psychiatry (15 citations). Keith Naylor has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Cornelia M. Weyand, James W. Fulbright, Ewa Bryl, Jörg J. Goronzy, Guangjin Li, Jacek M. Witkowski, Abbe N. Vallejo, Won‐Woo Lee, Blasé N. Polite and James E. Ward. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Clinical Oncology, Journal of Racial and Ethnic Health Disparities, Journal of General Internal Medicine and 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.