Martin J. Pearse

4.6k citations
98 papers · 3.7k indexed · h-index 36
Topics
Xenotransplantation and immune response (27 papers)Immune Response and Inflammation (18 papers)Immunotherapy and Immune Responses (17 papers)

In The Last Decade

Martin J. Pearse

98 papers receiving 3.6k citations

Peers

Martin J. Pearse
Comparison fields: 5 of 113
  • Immunology 1.3k
  • Molecular Biology 1.2k
  • Surgery 1.1k
  • Genetics 739
  • Epidemiology 532
Replace Natalya V. Serbina with:
Natalya V. Serbina United States
Olivier Join‐Lambert France
Christiane Ruedl Singapore
Deepak Kaushal United States
Simon Clare United Kingdom
Randal E. Morris United States
Peter Aichele Germany
Carl G. Feng Australia
Toshiaki Ohteki Japan
Simon Clare United Kingdom
Martin J. Pearse relative to Natalya V. Serbina United States Natalya V. Serbina's profile →
Citations per field
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Natalya V. Serbina · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 44
2 29
3 103
4 37
5 18
6 31
7 35
8 48
9 11
10 15
11 40
12 3
13 19
14 24
15 9
16 6
17 40
18 4
19 1
20 48

About Martin J. Pearse

Martin J. Pearse is a scholar working on Immunology, Microbiology and Surgery, having authored 98 papers that have together received 3.7k indexed citations. Recurring topics across this work include Xenotransplantation and immune response (27 papers), Immune Response and Inflammation (18 papers) and Immunotherapy and Immune Responses (17 papers). The work is most often cited by research in Immunology (1.3k citations), Genetics (739 citations) and Microbiology (157 citations). Martin J. Pearse has collaborated with scholars based in Australia, United Kingdom and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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