Matthew Gagné

4.1k total citations · 1 hit paper
20 papers, 449 citations indexed

About

Matthew Gagné is a scholar working on Infectious Diseases, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Matthew Gagné has authored 20 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Matthew Gagné's work include Effects and risks of endocrine disrupting chemicals (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and HIV Research and Treatment (3 papers). Matthew Gagné is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and HIV Research and Treatment (3 papers). Matthew Gagné collaborates with scholars based in United States, Canada and France. Matthew Gagné's co-authors include Daniel C. Douek, Mark G. Lewis, Daniel Harari, Eyal Zoler, Robert A. Seder, Shir Marciano, Jeanne Chiaravalli, Chunlin Li, Bjoern Meyer and Orly Dym and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Matthew Gagné

19 papers receiving 444 citations

Hit Papers

SARS-CoV-2 variant prediction and antiviral drug design a... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Matthew Gagné
Comparison fields: 5 of 80
  • Infectious Diseases 260
  • Molecular Biology 149
  • Health, Toxicology and Mutagenesis 52
  • Virology 48
  • Computational Theory and Mathematics 47
Replace Rinie van Beuningen with:
Rinie van Beuningen United States
Zongzheng Zhao China
Judith M. Phillips United States
George F. Gao China
Alejandro Vicente‐Carrillo Sweden
Flora Mikaeloff Sweden
Santhamani Ramasamy United States
Ikenna G. Madu United States
Hye Jun Jo South Korea
Rinie van Beuningen United States View profile →
Citations per field, relative to Matthew Gagné
Matthew Gagné · 1×
Citations per year, relative to Matthew Gagné
Matthew Gagné · 1×

Countries citing papers authored by Matthew Gagné

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gagné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Gagné

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Gagné. A scholar is included among the top collaborators of Matthew Gagné 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 Gagné. Matthew Gagné 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
# Work Indexed citations
1 8
2 0
3 7
4 3
5 1
6 25
7 6
8 23
9 6
10 24
11
SARS-CoV-2 variant prediction and antiviral drug design are enabled by RBD in vitro evolution breakdown →
230
12 4
13 21
14 17
15 23
16 19
17 8
18 17
19
[Reiter's syndrome in children].
3
20
[Whipple's disease without digestive manifestations: late-diagnosis arthropathy].
4

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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