Mathieu Fourment
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Endocrinology top 5%
Papers in ⓘ
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- Evolution and Paleontology Studies 5
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- Animal Disease Management and Epidemiology 7
- Co-authors
- Mark J. Gibbs (6 shared papers)Edward C. Holmes (7 shared papers)Sergei L. Kosakovsky Pond (2 shared papers)Ben Murrell (1 shared paper)Wayne Delport (1 shared paper)Konrad Scheffler (1 shared paper)Simon D. W. Frost (1 shared paper)Michael R. Gillings (1 shared paper)
- Journals
- BMC Evolutionary Biology (4 papers)PLoS ONE (2 papers)BMC Bioinformatics (2 papers)Emerging infectious diseases (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Mathieu Fourment
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 136
- Agronomy and Crop Science 227
- Endocrinology 113
- Infectious Diseases 364
- Parasitology 111
- Horticulture 16
Countries citing papers authored by Mathieu Fourment
This map shows the geographic impact of Mathieu Fourment'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 Mathieu Fourment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Fourment more than expected).
Fields of papers citing papers by Mathieu Fourment
This network shows the impact of papers produced by Mathieu Fourment. 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 Mathieu Fourment. The network helps show where Mathieu Fourment may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Fourment, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 375 | |
| 2 | 2011 | 339 | |
| 3 | 2016 | 179 | |
| 4 | 2010 | 108 | |
| 5 | 2016 | 100 | |
| 6 | 2008 | 99 | |
| 7 | 2013 | 73 | |
| 8 | 2013 | 71 | |
| 9 | 2012 | 66 | |
| 10 | 2011 | 55 | |
| 11 | 2009 | 51 | |
| 12 | 2017 | 50 | |
| 13 | 2008 | 46 | |
| 14 | 2016 | 37 | |
| 15 | 2008 | 28 | |
| 16 | 2013 | 28 | |
| 17 | 2015 | 25 | |
| 18 | 2017 | 22 | |
| 19 | 2009 | 22 | |
| 20 | 2014 | 18 |
About Mathieu Fourment
Mathieu Fourment is a scholar working on Paleontology, Agronomy and Crop Science, Parasitology, Modeling and Simulation and Molecular Medicine, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Influenza Virus Research Studies (11 papers), Genetic diversity and population structure (9 papers), Animal Disease Management and Epidemiology (7 papers), Evolution and Paleontology Studies (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Evolution and Genetic Dynamics (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Agronomy and Crop Science (227 citations), Endocrinology (113 citations), Infectious Diseases (364 citations), Parasitology (111 citations) and Horticulture (16 citations). Mathieu Fourment has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Mark J. Gibbs, Edward C. Holmes, Sergei L. Kosakovsky Pond, Ben Murrell, Wayne Delport, Konrad Scheffler, Simon D. W. Frost, Michael R. Gillings, Aaron E. Darling and Jane Hawkey. Their work appears in journals such as BMC Evolutionary Biology, PLoS ONE, BMC Bioinformatics, Emerging infectious diseases and Molecular Biology and Evolution.
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.