Martin J. Pearse

114 total papers · 4.6k total citations
98 papers, 3.7k citations indexed

About

Martin J. Pearse is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Martin J. Pearse has authored 98 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 33 papers in Surgery and 24 papers in Molecular Biology. Recurrent topics in Martin J. Pearse's work include Xenotransplantation and immune response (27 papers), Immune Response and Inflammation (18 papers) and Animal Genetics and Reproduction (17 papers). Martin J. Pearse is often cited by papers focused on Xenotransplantation and immune response (27 papers), Immune Response and Inflammation (18 papers) and Animal Genetics and Reproduction (17 papers). Martin J. Pearse collaborates with scholars based in Australia, United States and United Kingdom. Martin J. Pearse's co-authors include Debbie Drane, Anthony J.F. d’Apice, Trixie A. Shinkel, A.G. Mackinlay, Peter J. Cowan, Lorena E. Brown, Ken Shortman, Anne Wilson, Roland Scollay and Nella Fisicaro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Martin J. Pearse

98 papers receiving 3.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin J. Pearse 1.3k 1.2k 1.1k 739 531 98 3.7k
Marie‐Louise Hammarström 1.8k 1.3× 1.2k 1.0× 550 0.5× 467 0.6× 772 1.5× 95 4.4k
Joël Mazurier 918 0.7× 2.1k 1.7× 1.0k 0.9× 570 0.8× 449 0.8× 98 5.6k
Ludmila Tučková 912 0.7× 871 0.7× 650 0.6× 443 0.6× 884 1.7× 111 3.4k
Anje A. te Velde 3.0k 2.2× 1.2k 1.0× 1.8k 1.6× 987 1.3× 690 1.3× 100 5.9k
Martine Heyman 1.1k 0.8× 1.8k 1.5× 1.1k 1.0× 660 0.9× 714 1.3× 107 5.1k
Charles A. Dangler 906 0.7× 1.0k 0.8× 2.2k 2.0× 478 0.6× 477 0.9× 61 4.3k
Taeko Dohi 1.6k 1.2× 2.1k 1.7× 433 0.4× 500 0.7× 456 0.9× 107 4.1k
E O Riecken 641 0.5× 1.5k 1.3× 839 0.8× 746 1.0× 653 1.2× 85 4.0k
Susann Teneberg 1.9k 1.4× 1.9k 1.6× 874 0.8× 390 0.5× 583 1.1× 112 4.5k
Lesley E. Smythies 2.6k 2.0× 1.1k 0.9× 1.2k 1.1× 590 0.8× 500 0.9× 63 4.7k

Countries citing papers authored by Martin J. Pearse

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Pearse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Pearse. 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 Martin J. Pearse. The network helps show where Martin J. Pearse may publish in the future.

Co-authorship network of co-authors of Martin J. Pearse

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

All Works

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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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