John L. Yates
Impact in
- Oncology top 2%
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 16
- Viral-associated cancers and disorders 16
- Polyomavirus and related diseases 4
-
- Cytomegalovirus and herpesvirus research 8
- Co-authors
- Bill Sugden (1 shared paper)Michio Nomura (4 shared papers)Salvatore Camiolo (3 shared papers)Margaret E. Diamond (2 shared papers)Dennis R. Dean (3 shared papers)Hongzhan Xu (1 shared paper)Biswendu Chaudhuri (1 shared paper)Anindya Dutta (1 shared paper)
- Journals
- Journal of Virology (7 papers)Virology (4 papers)Nature (2 papers)Cell (2 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John L. Yates
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 1.4k
- Pathology and Forensic Medicine 471
- Epidemiology 888
- Infectious Diseases 348
- Genetics 472
Countries citing papers authored by John L. Yates
This map shows the geographic impact of John L. Yates'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 L. Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Yates more than expected).
Fields of papers citing papers by John L. Yates
This network shows the impact of papers produced by John L. Yates. 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 L. Yates. The network helps show where John L. Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside John L. Yates, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stable replication of plasmids derived from Epstein–Barr virus in various mammalian cells Hit paper breakdown → | 1985 | 1103 |
| 2 | 2001 | 159 | |
| 3 | 2004 | 125 | |
| 4 | 2000 | 112 | |
| 5 | 1999 | 108 | |
| 6 | 1980 | 94 | |
| 7 | 2006 | 69 | |
| 8 | 1981 | 64 | |
| 9 | 1999 | 64 | |
| 10 | 2003 | 59 | |
| 11 | 1996 | 57 | |
| 12 | 1981 | 49 | |
| 13 | 2001 | 47 | |
| 14 | 2000 | 44 | |
| 15 | 1997 | 36 | |
| 16 | 1996 | 32 | |
| 17 | 1982 | 29 | |
| 18 | 2002 | 22 | |
| 19 | 1978 | 22 | |
| 20 | 2013 | 21 |
About John L. Yates
John L. Yates is a scholar working on Oncology, Epidemiology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (8 papers), Lymphoma Diagnosis and Treatment (6 papers), RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Polyomavirus and related diseases (4 papers), RNA modifications and cancer (4 papers) and Parvovirus B19 Infection Studies (3 papers). The work is most often cited by research in Oncology (1.4k citations), Pathology and Forensic Medicine (471 citations), Epidemiology (888 citations), Infectious Diseases (348 citations) and Genetics (472 citations). John L. Yates has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bill Sugden, Michio Nomura, Salvatore Camiolo, Margaret E. Diamond, Dennis R. Dean, Hongzhan Xu, Biswendu Chaudhuri, Anindya Dutta, Иван Тодоров and Joyce D. Fingeroth. Their work appears in journals such as Journal of Virology, Virology, Nature, Cell and The EMBO Journal.
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.