Mark Peakman

16.7k total citations · 1 hit paper
244 papers, 11.4k citations indexed

About

Mark Peakman is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Mark Peakman has authored 244 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Genetics, 121 papers in Immunology and 82 papers in Surgery. Recurrent topics in Mark Peakman's work include Diabetes and associated disorders (139 papers), Immune Cell Function and Interaction (89 papers) and Pancreatic function and diabetes (79 papers). Mark Peakman is often cited by papers focused on Diabetes and associated disorders (139 papers), Immune Cell Function and Interaction (89 papers) and Pancreatic function and diabetes (79 papers). Mark Peakman collaborates with scholars based in United Kingdom, United States and Netherlands. Mark Peakman's co-authors include Bart O. Roep, Timothy Tree, Colin Dayan, Diego Vergani, Sefina Arif, Amanda J. Bishop, Ania Skowera, Andrew K. Sewell, Matthias von Herrath and Jennifer Tremble and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Mark Peakman

241 papers receiving 11.1k citations

Hit Papers

align trajectories

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.

Defective Suppressor Function in CD4+CD25+ T-Cells From Patients With Type 1 Diabetes

2005 676 citations Colin Dayan, Amanda J. Bishop et al. profile →

Peers

Mark Peakman

GENET

IMMUN

SURGE

EDM

Pere Santamaría Canada

Lucienne Chatenoud France

Matthias G. von Herrath United States

Bart O. Roep Netherlands

Leonard C. Harrison Australia

Grant Morahan Australia

Lorenzo Piemonti Italy

Conny Gysemans Belgium

Noel K. Maclaren United States

Jaakko Perheentupa Finland

Pere Santamaría Canada

Mark Peakman

4.8k ×0.8

GENET

7.0k ×1.3

IMMUN

2.9k ×0.8

SURGE

1.8k ×0.6

EDM

1.7k ×1.2

Citations per year, relative to Mark Peakman Mark Peakman (= 1×) peers Pere Santamaría

Countries citing papers authored by Mark Peakman

Since Specialization

Citations

This map shows the geographic impact of Mark Peakman'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 Mark Peakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Peakman more than expected).

Fields of papers citing papers by Mark Peakman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Peakman. 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 Mark Peakman. The network helps show where Mark Peakman may publish in the future.

Co-authorship network of co-authors of Mark Peakman

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Peakman. A scholar is included among the top collaborators of Mark Peakman 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 Mark Peakman. Mark Peakman 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

Yang, Jennie H. M., et al.. (2025). Subcutaneous Abatacept in New Onset Type 1 Diabetes: Clinical and Immunological Effects. Diabetes/Metabolism Research and Reviews. 41(6). e70074–e70074. 2 indexed citations

Marcovecchio, M. Loredana, Emile Hendriks, Tadej Battelino, et al.. (2024). The INNODIA Type 1 Diabetes Natural History Study: a European cohort of newly diagnosed children, adolescents and adults. Diabetologia. 67(6). 995–1008. 14 indexed citations

Vatanen, Tommi, Carine de Beaufort, M. Loredana Marcovecchio, et al.. (2024). Gut microbiome shifts in people with type 1 diabetes are associated with glycaemic control: an INNODIA study. Diabetologia. 67(9). 1930–1942. 9 indexed citations

Moulder, Robert, Tommi Välikangas, Tomi Suomi, et al.. (2023). Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. Diabetologia. 66(11). 1983–1996. 11 indexed citations

Artzy‐Schnirman, Arbel, Enas Abu‐Shah, Rona Chandrawati, et al.. (2022). Artificial Antigen Presenting Cells for Detection and Desensitization of Autoreactive T cells Associated with Type 1 Diabetes. Nano Letters. 22(11). 4376–4382. 2 indexed citations

Sioofy‐Khojine, Amir‐Babak, Sarah J. Richardson, Jonathan M. Locke, et al.. (2022). Detection of enterovirus RNA in peripheral blood mononuclear cells correlates with the presence of the predisposing allele of the type 1 diabetes risk gene IFIH1 and with disease stage. Diabetologia. 65(10). 1701–1709. 9 indexed citations

Yeo, Lorraine, Irma Pujol‐Autonell, Ricardo Baptista, et al.. (2019). Circulating β cell-specific CD8+ T cells restricted by high-risk HLA class I molecules show antigen experience in children with and at risk of type 1 diabetes. Clinical & Experimental Immunology. 199(3). 263–277. 26 indexed citations

Liu, YF, Mark Peakman, & Colin Dayan. (2013). Safely targeting autoimmunity in type 1 diabetes: the MonoPepT1De trial. Practical Diabetes. 30(4). 148–148. 1 indexed citations

Nickolay, Lauren, et al.. (2012). Generation of human antigen-specific regulatory T cells by MHC-class I restricted T cell receptor gene transfer. Immunology. 137. 693–693. 1 indexed citations

10.

Kozlakidis, Zisis, Christine Mant, Andrew P. Cope, et al.. (2011). Variation of Peripheral Blood Mononuclear Cell RNA Quality in Archived Samples. Biopreservation and Biobanking. 9(3). 259–263. 5 indexed citations

11.

Kozlakidis, Zisis, Christine Mant, Barry Peters, et al.. (2011). How Representative Are Research Tissue Biobanks of the Local Populations? Experience of the Infectious Diseases Biobank at King's College, London, UK. Biopreservation and Biobanking. 9(3). 287–288. 3 indexed citations

12.

Lozanoska‐Ochser, Biliana, Nigel Klein, Guo Huang, Raymond Alvarez, & Mark Peakman. (2008). Expression of CD86 on Human Islet Endothelial Cells Facilitates T Cell Adhesion and Migration. The Journal of Immunology. 181(9). 6109–6116. 36 indexed citations

13.

Arif, Sefina, Timothy Tree, Jennifer Tremble, et al.. (2004). Autoreactive T cell responses show proinflammatory polarization in diabetes but a regulatory phenotype in health. Journal of Clinical Investigation. 113(3). 451–463. 401 indexed citations

14.

Llewelyn, Martin, Shiranee Sriskandan, Mark Peakman, et al.. (2004). HLA Class II Polymorphisms Determine Responses to Bacterial Superantigens. The Journal of Immunology. 172(3). 1719–1726. 74 indexed citations

15.

Zanone, Maria M., Enrica Favaro, Pier Giulio Conaldi, et al.. (2003). Persistent Infection of Human Microvascular Endothelial Cells by Coxsackie B Viruses Induces Increased Expression of Adhesion Molecules. The Journal of Immunology. 171(1). 438–446. 41 indexed citations

16.

Varela‐Calviño, Rubén, et al.. (2001). T Cell Activation by Coxsackievirus B4 Antigens in Type 1 Diabetes Mellitus: Evidence for Selective TCR Vβ Usage Without Superantigenic Activity. The Journal of Immunology. 167(6). 3513–3520. 13 indexed citations

17.

Arif, Sefina, Rubén Varela‐Calviño, Gerard S. Conway, & Mark Peakman. (2001). 3β Hydroxysteroid Dehydrogenase Autoantibodies in Patients with Idiopathic Premature Ovarian Failure Target N- and C-Terminal Epitopes. The Journal of Clinical Endocrinology & Metabolism. 86(12). 5892–5897. 3 indexed citations

18.

Arif, Sefina, James A. Underhill, Peter T. Donaldson, Gerard S. Conway, & Mark Peakman. (1999). Human Leukocyte Antigen-DQB1*Genotypes Encoding Aspartate at Position 57 Are Associated with 3β-Hydroxysteroid Dehydrogenase Autoimmunity in Premature Ovarian Failure. The Journal of Clinical Endocrinology & Metabolism. 84(3). 1056–1060. 12 indexed citations

19.

Peakman, Mark & Diego Vergani. (1997). Basic and clinical immunology. Churchill Livingstone eBooks. 40 indexed citations

20.

Peakman, Mark, et al.. (1992). Naturally Occurring Soluble CD4 in Patients with Human Immunodeficiency Virus Infection. The Journal of Infectious Diseases. 165(5). 799–804. 25 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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