Graham Pawelec
- Biological Psychiatry top 0.1%
- Immunology top 0.05%
- Immune Cell Function and Interaction 180
- T-cell and B-cell Immunology 176
- Immunotherapy and Immune Responses 126
- Aging top 0.2%
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 49
- Geriatrics and Gerontology top 0.5%
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- Cytomegalovirus and herpesvirus research 80
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- CAR-T cell therapy research 69
- Cancer Immunotherapy and Biomarkers 44
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- Monoclonal and Polyclonal Antibodies Research 37
- Co-authors
- Anis LarbiEvelyna DerhovanessianTamàs FülöpAnders WikbyRafael SolanaDavid GoldeckPeter WernetJacek M. Witkowski
- Cited by
- Biological PsychiatryImmunologyAging
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (3 papers)
- Partner nations
- GermanyCanadaUnited Kingdom
In The Last Decade
Graham Pawelec
498 papers receiving 22.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Biological Psychiatry 1.3k
- Immunology 10.5k
- Aging 740
- Neurology 2.3k
- Geriatrics and Gerontology 692
Countries citing papers authored by Graham Pawelec
This map shows the geographic impact of Graham Pawelec'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 Pawelec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham Pawelec more than expected).
Fields of papers citing papers by Graham Pawelec
This network shows the impact of papers produced by Graham Pawelec. 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 Pawelec. The network helps show where Graham Pawelec may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Graham Pawelec, 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 | 2023 | 8 | |
| 2 | 2020 | 11 | |
| 3 | CMV and Immunosenescence | 2017 | 0 |
| 4 | 2016 | 141 | |
| 5 | 2016 | 33 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 51 | |
| 8 | 2014 | 77 | |
| 9 | 2014 | 35 | |
| 10 | 2013 | 21 | |
| 11 | 2013 | 210 | |
| 12 | 2012 | 50 | |
| 13 | 2011 | 49 | |
| 14 | 2010 | 362 | |
| 15 | 2009 | 76 | |
| 16 | 2006 | 27 | |
| 17 | 2005 | 2 | |
| 18 | 2000 | 1 | |
| 19 | 2000 | 2 | |
| 20 | 1999 | 1 |
About Graham Pawelec
Graham Pawelec is a scholar working on Immunology, Biological Psychiatry and Aging, having authored 508 papers that have together received 22.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (180 papers), T-cell and B-cell Immunology (176 papers), Immunotherapy and Immune Responses (126 papers), Cytomegalovirus and herpesvirus research (80 papers), CAR-T cell therapy research (69 papers), Neuroinflammation and Neurodegeneration Mechanisms (49 papers), Cancer Immunotherapy and Biomarkers (44 papers) and Monoclonal and Polyclonal Antibodies Research (37 papers). The work is most often cited by research in Biological Psychiatry (1.3k citations), Immunology (10.5k citations) and Aging (740 citations). Graham Pawelec has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Anis Larbi, Evelyna Derhovanessian, Tamàs Fülöp, Anders Wikby, Rafael Solana, David Goldeck, Peter Wernet, Jacek M. Witkowski, Ludmila Müller and Janet E. McElhaney. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.