Maxime Mahu
Impact in
- Small Animals top 2%
- Veterinary medicine and infectious diseases
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
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- Veterinary medicine and infectious diseases 12
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- Pharmacological Effects of Natural Compounds 5
- Co-authors
- Freddy Haesebrouck (14 shared papers)Frank Pasmans (13 shared papers)Filip Boyen (11 shared papers)An Martel (9 shared papers)Richard Ducatelle (4 shared papers)Sara K. Lindén (3 shared papers)Jiřı́ Volf (1 shared paper)Jeroen Dewulf (1 shared paper)
In The Last Decade
Maxime Mahu
15 papers receiving 339 citations
Peers
Comparison fields: 5 of 58
- Small Animals 131
- Animal Science and Zoology 87
- Food Science 113
- Pharmacology 36
- Endocrinology 15
Countries citing papers authored by Maxime Mahu
This map shows the geographic impact of Maxime Mahu'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 Maxime Mahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Mahu more than expected).
Fields of papers citing papers by Maxime Mahu
This network shows the impact of papers produced by Maxime Mahu. 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 Maxime Mahu. The network helps show where Maxime Mahu may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Mahu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 119 | |
| 2 | 2015 | 40 | |
| 3 | 2017 | 35 | |
| 4 | 2013 | 25 | |
| 5 | 2016 | 19 | |
| 6 | 2017 | 19 | |
| 7 | 2015 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2013 | 15 | |
| 10 | 2017 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2015 | 6 | |
| 13 | Weakly hemolytic Brachyspira hyodysenteriae strains in pigs | 2014 | 3 |
| 14 | Short- and medium-chain fatty acids influence Salmonella Typhimurium virulence gene expression | 2006 | 1 |
| 15 | In vitro susceptibility of Brachyspira hyodysenteriae to organic acids and essential oil components | 2013 | 1 |
About Maxime Mahu
Maxime Mahu is a scholar working on Small Animals, Pharmacology, Food Science, Civil and Structural Engineering and Immunology, having authored 15 papers that have together received 343 indexed citations. Recurring topics across this work include Veterinary medicine and infectious diseases (12 papers), Pharmacological Effects of Natural Compounds (5 papers), Concrete and Cement Materials Research (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Streptococcal Infections and Treatments (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Small Animals (131 citations), Animal Science and Zoology (87 citations), Food Science (113 citations), Pharmacology (36 citations) and Endocrinology (15 citations). Maxime Mahu has collaborated with scholars based in Belgium, Sweden and Hong Kong. Frequent co-authors include Freddy Haesebrouck, Frank Pasmans, Filip Boyen, An Martel, Richard Ducatelle, Sara K. Lindén, Jiřı́ Volf, Jeroen Dewulf, Ivan Rychlı́k and Filip Van Immerseel. Their work appears in journals such as Veterinary Microbiology, Veterinary Research, Infection and Immunity, Poultry Science and Journal of Proteome Research.
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.