Graham P. Taylor
- Immunology top 0.1%
- Agronomy and Crop Science top 0.02%
- Ecology, Evolution, Behavior and Systematics top 0.05%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Co-authors
- Charles R. M. BanghamYuetsu TanakaJonathan WeberPeter GoonBecca AsquithMitsuhiro OsameFabiola MartinTadahiko Igakura
- Topics
- T-cell and Retrovirus Studies (201 papers)Animal Disease Management and Epidemiology (142 papers)Vector-Borne Animal Diseases (122 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Graham P. Taylor
288 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology 8.0k
- Agronomy and Crop Science 5.2k
- Ecology, Evolution, Behavior and Systematics 4.8k
- Infectious Diseases 1.9k
- Epidemiology 1.4k
Countries citing papers authored by Graham P. Taylor
This map shows the geographic impact of Graham P. Taylor'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 Graham P. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham P. Taylor more than expected).
Fields of papers citing papers by Graham P. Taylor
This network shows the impact of papers produced by Graham P. Taylor. 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 Graham P. Taylor. The network helps show where Graham P. Taylor may publish in the future.
Co-authorship network of co-authors of Graham P. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Graham P. Taylor. A scholar is included among the top collaborators of Graham P. Taylor 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 Graham P. Taylor. Graham P. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 67 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | Mogamulizumab versus investigator’s choice of chemotherapy regimen in relapsed/refractory adult T-cell leukemia/lymphoma | 5 |
| 13 | 23 | |
| 14 | 82 | |
| 15 | The prevalence of human T-cell lymphotropic virus type 1 in the general population is unknown. | 70 |
| 16 | 54 | |
| 17 | 197 | |
| 18 | 60 | |
| 19 | 71 | |
| 20 | 34 |
About Graham P. Taylor
Graham P. Taylor is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 295 papers that have together received 11.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (201 papers), Animal Disease Management and Epidemiology (142 papers) and Vector-Borne Animal Diseases (122 papers). The work is most often cited by research in Agronomy and Crop Science (5.2k citations), Immunology (8.0k citations) and Ecology, Evolution, Behavior and Systematics (4.8k citations). Graham P. Taylor has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Charles R. M. Bangham, Yuetsu Tanaka, Jonathan Weber, Peter Goon, Becca Asquith, Mitsuhiro Osame, Fabiola Martin, Tadahiko Igakura, Carolina Rosadas and Emmanuel Hanon. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.