Craig M. Walsh

119 total papers · 9.6k total citations
77 papers, 4.1k citations indexed

About

Craig M. Walsh is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Craig M. Walsh has authored 77 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 35 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Craig M. Walsh's work include Immune Cell Function and Interaction (22 papers), Cell death mechanisms and regulation (20 papers) and T-cell and B-cell Immunology (15 papers). Craig M. Walsh is often cited by papers focused on Immune Cell Function and Interaction (22 papers), Cell death mechanisms and regulation (20 papers) and T-cell and B-cell Immunology (15 papers). Craig M. Walsh collaborates with scholars based in United States, France and Croatia. Craig M. Walsh's co-authors include C C Liu, William R. Clark, John Ding‐E Young, Adrian F. Arechiga, Brian M. Weist, Rafi Ahmed, Mehrdad Matloubian, Stephen Μ. Hedrick, Alison A. Glass and Bryan D. Bell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Craig M. Walsh

74 papers receiving 4.0k citations

Hit Papers

Defining the emergence of... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Craig M. Walsh 2.1k 1.9k 680 562 331 77 4.1k
Marianne T. Sweetser 2.2k 1.1× 2.1k 1.1× 506 0.7× 1.2k 2.1× 399 1.2× 74 6.1k
Martin Stacey 2.1k 1.0× 2.4k 1.2× 375 0.6× 475 0.8× 228 0.7× 68 5.7k
Norimitsu Inoue 2.1k 1.0× 1.9k 1.0× 1.0k 1.5× 470 0.8× 414 1.3× 106 4.6k
Federica M. Marelli‐Berg 2.9k 1.4× 1.4k 0.7× 531 0.8× 897 1.6× 176 0.5× 102 5.1k
Martha Kirby 2.1k 1.0× 1.9k 1.0× 519 0.8× 795 1.4× 588 1.8× 83 5.8k
Matthias Farlik 1.6k 0.8× 2.0k 1.0× 354 0.5× 451 0.8× 197 0.6× 54 3.6k
Lawrence B. Lachman 2.7k 1.3× 1.4k 0.7× 426 0.6× 758 1.3× 212 0.6× 66 5.1k
Richard J. Cornall 2.9k 1.4× 1.9k 1.0× 443 0.7× 721 1.3× 384 1.2× 83 5.8k
Kuo‐I Lin 3.1k 1.5× 2.5k 1.3× 410 0.6× 735 1.3× 306 0.9× 79 5.8k
Michael U. Martin 3.1k 1.5× 2.2k 1.1× 426 0.6× 433 0.8× 282 0.9× 76 5.7k

Countries citing papers authored by Craig M. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Craig M. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig M. Walsh. 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 Craig M. Walsh. The network helps show where Craig M. Walsh may publish in the future.

Co-authorship network of co-authors of Craig M. Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Craig M. Walsh. A scholar is included among the top collaborators of Craig M. Walsh 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 Craig M. Walsh. Craig M. Walsh 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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