Graham S. Taylor
- Oncology top 1%
- Viral-associated cancers and disorders 37
- Peptidase Inhibition and Analysis 10
- Immunology top 1%
- Immune Cell Function and Interaction 35
- Immunotherapy and Immune Responses 13
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- Lymphoma Diagnosis and Treatment 13
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research 17
- Infectious Diseases top 5%
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- Ubiquitin and proteasome pathways 13
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- Endoplasmic Reticulum Stress and Disease 6
- Co-authors
- Alan B. RickinsonAndrew D. HislopHeather M. LongDelphine SauceJill BrooksTracey A. HaighFu ShangPaulo Pereira
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Graham S. Taylor
100 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Oncology 2.5k
- Immunology 1.6k
- Pathology and Forensic Medicine 799
- Epidemiology 1.3k
- Infectious Diseases 449
Countries citing papers authored by Graham S. Taylor
This map shows the geographic impact of Graham S. 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 S. 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 S. Taylor more than expected).
Fields of papers citing papers by Graham S. Taylor
This network shows the impact of papers produced by Graham S. 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 S. Taylor. The network helps show where Graham S. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Graham S. Taylor, 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 | 2024 | 4 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 7 | |
| 7 | 2014 | 138 | |
| 8 | 2013 | 146 | |
| 9 | 2012 | 12 | |
| 10 | 2011 | 16 | |
| 11 | 2010 | 91 | |
| 12 | 2010 | 110 | |
| 13 | 2010 | 9 | |
| 14 | 2009 | 31 | |
| 15 | 2007 | 4 | |
| 16 | 2006 | 30 | |
| 17 | Model of design process of Hong Kong fashion designers | 2004 | 4 |
| 18 | 2004 | 12 | |
| 19 | 2004 | 125 | |
| 20 | 1993 | 8 |
About Graham S. Taylor
Graham S. Taylor is a scholar working on Immunology, Oncology and Museology, having authored 103 papers that have together received 4.6k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (37 papers), Immune Cell Function and Interaction (35 papers), Cytomegalovirus and herpesvirus research (17 papers), Immunotherapy and Immune Responses (13 papers), Ubiquitin and proteasome pathways (13 papers), Lymphoma Diagnosis and Treatment (13 papers), Peptidase Inhibition and Analysis (10 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). The work is most often cited by research in Oncology (2.5k citations), Immunology (1.6k citations) and Pathology and Forensic Medicine (799 citations). Graham S. Taylor has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Alan B. Rickinson, Andrew D. Hislop, Heather M. Long, Delphine Sauce, Jill Brooks, Tracey A. Haigh, Fu Shang, Paulo Pereira, S.K. Burley and William N. Lipscomb. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.