Graham Pawelec

37.7k total citations · 4 hit papers
508 papers, 22.6k citations indexed

About

Graham Pawelec is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Graham Pawelec has authored 508 papers receiving a total of 22.6k indexed citations (citations by other indexed papers that have themselves been cited), including 339 papers in Immunology, 120 papers in Oncology and 112 papers in Epidemiology. Recurrent topics in Graham Pawelec's work include Immune Cell Function and Interaction (180 papers), T-cell and B-cell Immunology (176 papers) and Immunotherapy and Immune Responses (126 papers). Graham Pawelec is often cited by papers focused on Immune Cell Function and Interaction (180 papers), T-cell and B-cell Immunology (176 papers) and Immunotherapy and Immune Responses (126 papers). Graham Pawelec collaborates with scholars based in Germany, Canada and United Kingdom. Graham Pawelec's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Graham Pawelec

498 papers receiving 22.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aging in COVID-19: Vulnerability, immunity and intervention

2020 608 citations Yiyin Chen, Sabra L. Klein et al. Ageing Research Reviews profile →
Age and immunity: What is “immunosenescence”?

2017 372 citations Graham Pawelec Experimental Gerontology profile →
Relationships Between Immune Landscapes, Genetic Subtypes and Responses to Immunotherapy in Colorectal Cancer

2020 339 citations Graham Pawelec et al. Frontiers in Immunology profile →
Immunology of Aging: the Birth of Inflammaging

2021 275 citations Tamàs Fülöp, Graham Pawelec et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Graham Pawelec Germany	79	10.5k	5.6k	4.0k	3.8k	3.1k	508	22.6k
Christopher Power Canada	86	8.3k 0.8×	3.2k 0.6×	6.8k 1.7×	5.3k 1.4×	2.2k 0.7×	374	26.0k
Jörg J. Goronzy United States	111	21.3k 2.0×	5.2k 0.9×	7.2k 1.8×	4.2k 1.1×	3.2k 1.0×	428	40.6k
Cornelia M. Weyand United States	112	20.4k 1.9×	5.1k 0.9×	7.2k 1.8×	4.0k 1.0×	3.4k 1.1×	435	40.8k
Raymond A. Sobel United States	83	15.3k 1.5×	2.7k 0.5×	6.3k 1.6×	4.7k 1.2×	1.8k 0.6×	329	28.8k
Mario Clerici Italy	83	11.1k 1.1×	6.2k 1.1×	6.2k 1.6×	2.1k 0.5×	2.0k 0.7×	676	30.0k
Daniel G. Remick United States	84	9.3k 0.9×	5.7k 1.0×	4.9k 1.2×	2.1k 0.5×	2.1k 0.7×	335	23.5k
Dennis D. Taub United States	76	7.5k 0.7×	2.3k 0.4×	4.5k 1.1×	3.8k 1.0×	2.7k 0.9×	235	17.9k
Mauro Martins Teixeira Brazil	85	9.2k 0.9×	6.0k 1.1×	10.5k 2.6×	2.7k 0.7×	4.8k 1.5×	768	32.6k
Joachim L. Schultze Germany	76	11.0k 1.0×	1.8k 0.3×	6.5k 1.6×	3.7k 1.0×	1.3k 0.4×	284	20.1k
Paolo Puccetti Italy	78	10.8k 1.0×	3.4k 0.6×	4.7k 1.2×	2.4k 0.6×	1.8k 0.6×	255	21.4k

Countries citing papers authored by Graham Pawelec

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Graham Pawelec

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Pawelec. A scholar is included among the top collaborators of Graham Pawelec 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 Pawelec. Graham Pawelec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Goldeck, David, Tamàs Fülöp, Claudia Schulte, et al.. (2025). Frequencies of Circulating Immune Cells in Patients with Parkinson’s Disease: Correlation with MDS-UPDRS Scores. Journal of Integrative Neuroscience. 24(2). 26393–26393.

Bueno, Valquíria, Nora Manoukian Forones, & Graham Pawelec. (2023). Alternative Chemotherapies: Angiotensin-Converting Enzyme Inhibitors Reduce Myeloid-Derived Suppressor Cells to Benefit Older Patients with Colorectal Cancer. Frontiers in Bioscience-Landmark. 28(1). 2–2. 8 indexed citations

Wistuba‐Hamprecht, Kilian, Cécile Gouttefangeas, Benjamin Weide, & Graham Pawelec. (2020). Immune Signatures and Survival of Patients With Metastatic Melanoma, Renal Cancer, and Breast Cancer. Frontiers in Immunology. 11. 1152–1152. 8 indexed citations

Chen, Yiyin, Sabra L. Klein, Brian T. Garibaldi, et al.. (2020). Aging in COVID-19: Vulnerability, immunity and intervention. Ageing Research Reviews. 65. 101205–101205. 608 indexed citations breakdown →

Bailur, Jithendra Kini, et al.. (2016). Prognostic impact of high levels of circulating plasmacytoid dendritic cells in breast cancer. Journal of Translational Medicine. 14(1). 151–151. 40 indexed citations

Martens, Alexander, Kilian Wistuba‐Hamprecht, Jianda Yuan, et al.. (2016). Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab. Clinical Cancer Research. 22(19). 4848–4858. 141 indexed citations

Zelba, Henning, Benjamin Weide, Alexander Martens, et al.. (2014). Circulating CD4+ T Cells That Produce IL4 or IL17 When Stimulated by Melan-A but Not by NY-ESO-1 Have Negative Impacts on Survival of Patients with Stage IV Melanoma. Clinical Cancer Research. 20(16). 4390–4399. 35 indexed citations

Weide, Benjamin, Thomas Eigentler, Annette Pflugfelder, et al.. (2014). Intralesional Treatment of Stage III Metastatic Melanoma Patients with L19–IL2 Results in Sustained Clinical and Systemic Immunologic Responses. Cancer Immunology Research. 2(7). 668–678. 77 indexed citations

Ioannou, Kyriaki, Evelyna Derhovanessian, Eleni N. Tsakiri, et al.. (2013). Prothymosin α and a prothymosin α-derived peptide enhance TH1-type immune responses against defined HER-2/neu epitopes. BMC Immunology. 14(1). 43–43. 22 indexed citations

10.

Dahl, Christina, Claus Christensen, Göran Jönsson, et al.. (2013). Mutual Exclusivity Analysis of Genetic and Epigenetic Drivers in Melanoma Identifies a Link Between p14ARF and RARβ Signaling. Molecular Cancer Research. 11(10). 1166–1178. 21 indexed citations

11.

Weide, Benjamin, Alexander Martens, Henning Zelba, et al.. (2013). Myeloid-Derived Suppressor Cells Predict Survival of Patients with Advanced Melanoma: Comparison with Regulatory T Cells and NY-ESO-1- or Melan-A–Specific T Cells. Clinical Cancer Research. 20(6). 1601–1609. 210 indexed citations

12.

Chen, Sijia, Anton JM de Craen, Yotam Raz, et al.. (2012). Cytomegalovirus seropositivity is associated with glucose regulation in the oldest old. Results from the Leiden 85-plus Study. Immunity & Ageing. 9(1). 50 indexed citations

13.

Bukur, Juergen, Soldano Ferrone, Graham Pawelec, et al.. (2011). Association of IFN-γ Signal Transduction Defects with Impaired HLA Class I Antigen Processing in Melanoma Cell Lines. Clinical Cancer Research. 17(9). 2668–2678. 49 indexed citations

14.

Uddin, Monica, Allison E. Aiello, Derek E. Wildman, et al.. (2010). Epigenetic and immune function profiles associated with posttraumatic stress disorder. Proceedings of the National Academy of Sciences. 107(20). 9470–9475. 362 indexed citations

15.

Attig, Sebastian, Jörg Hennenlotter, Graham Pawelec, et al.. (2009). Simultaneous Infiltration of Polyfunctional Effector and Suppressor T Cells into Renal Cell Carcinomas. Cancer Research. 69(21). 8412–8419. 76 indexed citations

16.

Pawelec, Graham, Sven D. Koch, Cécile Gouttefangeas, & Anders Wikby. (2006). Immunorejuvenation in the Elderly. Rejuvenation Research. 9(1). 111–116. 27 indexed citations

17.

Pawelec, Graham, Sven D. Koch, Claudio Franceschi, & Anders Wikby. (2006). Human Immunosenescence. Annals of the New York Academy of Sciences. 1067(1). 56–65. 70 indexed citations

18.

Pawelec, Graham, et al.. (2005). The Concept of Telomeric Non-Reciprocal Recombination (TENOR) Applied to Human Fibroblasts Grown in Serial Cultures: Concordance with Genealogical Data. Rejuvenation Research. 8(3). 154–171. 2 indexed citations

19.

Ouyang, Qin, Wolfgang Wagner, Anders Wikby, Ed Remarque, & Graham Pawelec. (2003). Compromised IFN-gamma production in the elderly leads to both acute and latent viral antigen stimulation: contribution to the immune risk phenotype?. European Cytokine Network. 13(4). 2 indexed citations

20.

Pawelec, Graham, Yvonne Barnett, Erminia Mariani, & Rafael Solana. (2002). Human CD4+ T cell clone longevity in tissue culture: lack of influence of donor age or cell origin. Experimental Gerontology. 37(2-3). 265–269. 19 indexed citations

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.

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