Matthew J. Peirce

927 citations
31 papers · 718 indexed · h-index 13
Topics
Monoclonal and Polyclonal Antibodies Research (7 papers)Advanced Proteomics Techniques and Applications (4 papers)Signaling Pathways in Disease (4 papers)

In The Last Decade

Matthew J. Peirce

31 papers receiving 710 citations

Peers

Matthew J. Peirce
Comparison fields: 5 of 100
  • Molecular Biology 367
  • Immunology 178
  • Rheumatology 72
  • Physiology 70
  • Oncology 61
Replace Hidehiko Kikuchi with:
Hidehiko Kikuchi Japan
Ritu Sharma United Kingdom
Abigail E. Hunt United States
Wenjiang Ma China
Alfred Weber Austria
Chahrazade Kantari France
F. Braut‐Boucher France
Choong‐Eun Lee South Korea
Hidekazu Mizuhara Japan
Jun-Bao Fan United States
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Citations per field
00.5×3.8×
Hidehiko Kikuchi · 1×
Citations per year

Countries citing papers authored by Matthew J. Peirce

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Peirce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Peirce

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Peirce. A scholar is included among the top collaborators of Matthew J. Peirce 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 Matthew J. Peirce. Matthew J. Peirce 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 12
2 10
3 37
4 47
5 58
6 12
7 81
8 37
9 35
10 4
11 8
12 45
13 3
14 7
15 75
16 12
17 8
18 6
19 6
20
IDENTIFICATION OF CALCINEURIN IN HUMAN LUNG MAST-CELLS (HLMC) AND BASOPHILS
1

About Matthew J. Peirce

Matthew J. Peirce is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 718 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Proteomics Techniques and Applications (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Immunology (178 citations), Immunology and Allergy (46 citations) and Molecular Biology (367 citations). Matthew J. Peirce has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Ilaria Bellezza, Alba Minelli, Robin Wait, Peter T. Peachell, Andrew P. Cope, Jeremy Saklatvala, Shajna Begum, Michael R. Munday, Vincenzo Nicola Talesa and Cinzia Antognelli. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

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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