Éric Oswald
Impact in
- Endocrinology top 0.01%
- Escherichia coli research studies
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
Papers in
- Endocrinology 126
- Escherichia coli research studies 119
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- Antibiotic Resistance in Bacteria 33
- Co-authors
- Jean‐Philippe Nougayrède (55 shared papers)Michèle Boury (23 shared papers)Frédéric E. Taieb (20 shared papers)Jean de Rycke (21 shared papers)Stefano Morabito (7 shared papers)Alfredo Caprioli (5 shared papers)Ulrich Dobrindt (14 shared papers)Claude R. Petit (5 shared papers)
In The Last Decade
Éric Oswald
207 papers receiving 12.2k citations
Éric Oswald's Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrinology 5.8k
- Molecular Medicine 1.6k
- Infectious Diseases 3.3k
- Food Science 2.6k
- Biotechnology 988
Countries citing papers authored by Éric Oswald
This map shows the geographic impact of Éric Oswald'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 Éric Oswald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Oswald more than expected).
Fields of papers citing papers by Éric Oswald
This network shows the impact of papers produced by Éric Oswald. 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 Éric Oswald. The network helps show where Éric Oswald may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Oswald, 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 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Escherichia coli Induces DNA Double-Strand Breaks in Eukaryotic Cells Hit paper breakdown → | 2006 | 962 |
| 2 | Escherichia coli induces DNA damage in vivo and triggers genomic instability in mammalian cells Hit paper breakdown → | 2010 | 688 |
| 3 | 2005 | 516 | |
| 4 | 2000 | 381 | |
| 5 | 2004 | 267 | |
| 6 | 2009 | 267 | |
| 7 | 2004 | 240 | |
| 8 | 2002 | 225 | |
| 9 | 2017 | 205 | |
| 10 | 2005 | 197 | |
| 11 | 1997 | 192 | |
| 12 | 2018 | 187 | |
| 13 | 2003 | 174 | |
| 14 | 2011 | 172 | |
| 15 | 2020 | 172 | |
| 16 | 1994 | 172 | |
| 17 | 1993 | 164 | |
| 18 | 2003 | 159 | |
| 19 | 2012 | 155 | |
| 20 | 2006 | 154 |
About Éric Oswald
Éric Oswald is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Genetics and Food Science, having authored 212 papers that have together received 12.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (119 papers), Bacterial Genetics and Biotechnology (65 papers), Viral gastroenteritis research and epidemiology (47 papers), Antibiotic Resistance in Bacteria (33 papers), Bacteriophages and microbial interactions (27 papers), Gut microbiota and health (20 papers), Clostridium difficile and Clostridium perfringens research (17 papers) and Salmonella and Campylobacter epidemiology (15 papers). The work is most often cited by research in Endocrinology (5.8k citations), Molecular Medicine (1.6k citations), Infectious Diseases (3.3k citations), Food Science (2.6k citations) and Biotechnology (988 citations). Éric Oswald has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Jean‐Philippe Nougayrède, Michèle Boury, Frédéric E. Taieb, Jean de Rycke, Stefano Morabito, Alfredo Caprioli, Ulrich Dobrindt, Claude R. Petit, Ingrid Marcq and Stefan Homburg. Their work appears in journals such as Infection and Immunity, Journal of Clinical Microbiology, Applied and Environmental Microbiology, PLoS ONE and Veterinary Microbiology.
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.