Médéric Diard
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 12
- Vibrio bacteria research studies 7
- Food Science 10
- Salmonella and Campylobacter epidemiology 9
- Co-authors
- Wolf‐Dietrich Hardt (14 shared papers)Mikael E. Sellin (6 shared papers)Martin Ackermann (5 shared papers)Roland R. Regoes (4 shared papers)Tamas Dolowschiak (3 shared papers)Emma Slack (8 shared papers)Bärbel Stecher (2 shared papers)Lisa Maier (2 shared papers)
- Journals
- Mucosal Immunology (2 papers)PLoS Biology (2 papers)Nature (2 papers)Current Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- SwitzerlandFranceSweden
In The Last Decade
Médéric Diard
22 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Endocrinology 601
- Molecular Medicine 261
- Food Science 527
- Infectious Diseases 360
- Aging 31
Countries citing papers authored by Médéric Diard
This map shows the geographic impact of Médéric Diard'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 Médéric Diard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Médéric Diard more than expected).
Fields of papers citing papers by Médéric Diard
This network shows the impact of papers produced by Médéric Diard. 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 Médéric Diard. The network helps show where Médéric Diard may publish in the future.
Co-authors
The 25 scholars most cited alongside Médéric Diard, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 320 | |
| 2 | 2013 | 244 | |
| 3 | 2019 | 183 | |
| 4 | 2014 | 158 | |
| 5 | 2011 | 142 | |
| 6 | 2017 | 134 | |
| 7 | 2016 | 101 | |
| 8 | 2010 | 93 | |
| 9 | 2020 | 91 | |
| 10 | 2014 | 75 | |
| 11 | 2014 | 72 | |
| 12 | 2020 | 64 | |
| 13 | 2006 | 52 | |
| 14 | 2019 | 46 | |
| 15 | 2016 | 30 | |
| 16 | 2009 | 25 | |
| 17 | 2010 | 25 | |
| 18 | 2019 | 20 | |
| 19 | 2017 | 15 | |
| 20 | 2022 | 11 |
About Médéric Diard
Médéric Diard is a scholar working on Endocrinology, Food Science, Genetics, Infectious Diseases and Molecular Biology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Escherichia coli research studies (12 papers), Salmonella and Campylobacter epidemiology (9 papers), Vibrio bacteria research studies (7 papers), Evolution and Genetic Dynamics (5 papers), Bacterial Genetics and Biotechnology (5 papers), Gut microbiota and health (4 papers), Bacteriophages and microbial interactions (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Endocrinology (601 citations), Molecular Medicine (261 citations), Food Science (527 citations), Infectious Diseases (360 citations) and Aging (31 citations). Médéric Diard has collaborated with scholars based in Switzerland, France and Sweden. Frequent co-authors include Wolf‐Dietrich Hardt, Mikael E. Sellin, Martin Ackermann, Roland R. Regoes, Tamas Dolowschiak, Emma Slack, Bärbel Stecher, Lisa Maier, Anna A. Müller and Aubry Tardivel. Their work appears in journals such as Mucosal Immunology, PLoS Biology, Nature, Current Biology and PLoS ONE.
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.