Michael Gale

566 total papers · 46.2k total citations
331 papers, 33.1k citations indexed

About

Michael Gale is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Michael Gale has authored 331 papers receiving a total of 33.1k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Immunology, 99 papers in Molecular Biology and 98 papers in Epidemiology. Recurrent topics in Michael Gale's work include interferon and immune responses (178 papers), Hepatitis C virus research (77 papers) and Mosquito-borne diseases and control (66 papers). Michael Gale is often cited by papers focused on interferon and immune responses (178 papers), Hepatitis C virus research (77 papers) and Mosquito-borne diseases and control (66 papers). Michael Gale collaborates with scholars based in United States, United Kingdom and Japan. Michael Gale's co-authors include Yueh–Ming Loo, Michael G. Katze, Eileen Foy, Michael Diamond, Stanley M. Lemon, Mehul S. Suthar, Kui Li, Yupeng He, Takashi Fujita and David M. Owen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Gale

318 papers receiving 32.6k citations

Hit Papers

Immune Signaling by RIG-I... 1997 2026 2006 2016 2011 2005 2002 2005 2007 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Michael Gale 18.2k 10.0k 9.7k 8.4k 7.3k 331 33.1k
John Sidney 19.4k 1.1× 14.6k 1.5× 7.1k 0.7× 6.6k 0.8× 2.0k 0.3× 387 32.9k
Rolf M. Zinkernagel 35.4k 1.9× 9.1k 0.9× 8.7k 0.9× 5.9k 0.7× 1.4k 0.2× 400 50.7k
Michael B. A. Oldstone 19.0k 1.0× 7.6k 0.8× 10.7k 1.1× 9.7k 1.2× 1.1k 0.1× 536 39.6k
Yoshiharu Matsuura 5.5k 0.3× 12.6k 1.3× 6.5k 0.7× 3.9k 0.5× 6.0k 0.8× 420 27.3k
Francis V. Chisari 14.8k 0.8× 7.8k 0.8× 29.7k 3.1× 5.3k 0.6× 25.5k 3.5× 301 44.4k
Paul Klenerman 14.3k 0.8× 3.5k 0.4× 10.7k 1.1× 4.4k 0.5× 7.5k 1.0× 500 27.6k
Stanley M. Lemon 4.8k 0.3× 7.4k 0.7× 11.2k 1.2× 6.5k 0.8× 15.4k 2.1× 379 26.7k
Glen N. Barber 19.0k 1.0× 13.5k 1.4× 4.9k 0.5× 6.8k 0.8× 1.1k 0.2× 203 28.8k
Charles M. Rice 13.0k 0.7× 16.7k 1.7× 27.4k 2.8× 16.0k 1.9× 30.7k 4.2× 476 66.9k
Mary Carrington 21.1k 1.2× 3.9k 0.4× 6.1k 0.6× 5.4k 0.6× 3.3k 0.4× 358 32.2k

Countries citing papers authored by Michael Gale

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Gale. 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 Michael Gale. The network helps show where Michael Gale may publish in the future.

Co-authorship network of co-authors of Michael Gale

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gale. A scholar is included among the top collaborators of Michael Gale 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 Michael Gale. Michael Gale 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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