Mark Peakman

237 papers and 10.9k indexed citations i.

About

Mark Peakman is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Mark Peakman has authored 237 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Genetics, 116 papers in Immunology and 80 papers in Surgery. Recurrent topics in Mark Peakman’s work include Diabetes and associated disorders (134 papers), Immune Cell Function and Interaction (87 papers) and Pancreatic Islet Dysfunction and Regeneration (77 papers). Mark Peakman is often cited by papers focused on Diabetes and associated disorders (134 papers), Immune Cell Function and Interaction (87 papers) and Pancreatic Islet Dysfunction and Regeneration (77 papers). Mark Peakman collaborates with scholars based in United Kingdom, United States and The 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

Co-authorship network of co-authors of Mark Peakman i

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.

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).

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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