Jacques Aubry
Impact in
- Small Animals top 0.5%
- Infectious Diseases and Mycology
- Epidemiology top 5%
- Mycobacterium research and diagnosis
- Fungal Infections and Studies
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Lipid Membrane Structure and Behavior 4
- Epidemiology 17
- Mycobacterium research and diagnosis 16
- Co-authors
- Laurent Marsollier (15 shared papers)Pierre Legras (8 shared papers)Stéphane Birklé (9 shared papers)B Carbonnelle (7 shared papers)Jean-Paul Saint André (5 shared papers)Raymond Robert (3 shared papers)Guichao Zeng (1 shared paper)Robert K. Yu (1 shared paper)
- Journals
- Applied and Environmental Microbiology (3 papers)FEBS Letters (2 papers)Biochimie (2 papers)Cellular Microbiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceUnited StatesSouth Korea
In The Last Decade
Jacques Aubry
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Small Animals 572
- Epidemiology 978
- Infectious Diseases 449
- Microbiology 17
- Immunology 236
Countries citing papers authored by Jacques Aubry
This map shows the geographic impact of Jacques Aubry'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 Jacques Aubry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Aubry more than expected).
Fields of papers citing papers by Jacques Aubry
This network shows the impact of papers produced by Jacques Aubry. 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 Jacques Aubry. The network helps show where Jacques Aubry may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Aubry, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 236 | |
| 2 | 2003 | 195 | |
| 3 | 2007 | 177 | |
| 4 | 2007 | 156 | |
| 5 | 2004 | 116 | |
| 6 | 2004 | 94 | |
| 7 | 2005 | 81 | |
| 8 | 2006 | 76 | |
| 9 | 2011 | 73 | |
| 10 | 2010 | 62 | |
| 11 | 2007 | 41 | |
| 12 | 2011 | 39 | |
| 13 | 2001 | 37 | |
| 14 | 2013 | 34 | |
| 15 | 2003 | 32 | |
| 16 | 2006 | 25 | |
| 17 | 1997 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 1993 | 20 | |
| 20 | 2007 | 18 |
About Jacques Aubry
Jacques Aubry is a scholar working on Molecular Biology, Epidemiology, Small Animals, Infectious Diseases and Immunology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (16 papers), Infectious Diseases and Mycology (13 papers), Glycosylation and Glycoproteins Research (12 papers), Tuberculosis Research and Epidemiology (8 papers), Toxin Mechanisms and Immunotoxins (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Neuroblastoma Research and Treatments (5 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Small Animals (572 citations), Epidemiology (978 citations), Infectious Diseases (449 citations), Microbiology (17 citations) and Immunology (236 citations). Jacques Aubry has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Laurent Marsollier, Pierre Legras, Stéphane Birklé, B Carbonnelle, Jean-Paul Saint André, Raymond Robert, Guichao Zeng, Robert K. Yu, L. Gao and Stewart T. Cole. Their work appears in journals such as Applied and Environmental Microbiology, FEBS Letters, Biochimie, Cellular Microbiology 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.