Jacques Aubry
Impact in
- Small Animals top 0.5%
- Infectious Diseases and Mycology
- Epidemiology top 2%
- Mycobacterium research and diagnosis
- Fungal Infections and Studies
Papers in
-
- Infectious Diseases and Mycology 11
- Epidemiology 17
- Mycobacterium research and diagnosis 15
- Co-authors
- Laurent Marsollier (14 shared papers)Pierre Legras (8 shared papers)Bernard Carbonnelle (7 shared papers)Stéphane Birklé (9 shared papers)Jean-Paul Saint André (5 shared papers)Raymond Robert (3 shared papers)L. Gao (1 shared paper)Robert K. Yu (1 shared paper)
- Journals
- Applied and Environmental Microbiology (3 papers)Biochimie (2 papers)PLoS ONE (2 papers)Archives of Physiology and Biochemistry (2 papers)Cellular Microbiology (2 papers)
- Partner nations
- FranceUnited StatesCameroon
In The Last Decade
Jacques Aubry
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Small Animals 495
- Epidemiology 1.1k
- Infectious Diseases 440
- Microbiology 11
- Immunology 228
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 272 | |
| 2 | 2003 | 205 | |
| 3 | 2007 | 195 | |
| 4 | 2007 | 176 | |
| 5 | 2004 | 126 | |
| 6 | 2004 | 102 | |
| 7 | 2005 | 93 | |
| 8 | 2011 | 82 | |
| 9 | 2006 | 81 | |
| 10 | 2010 | 72 | |
| 11 | 2007 | 46 | |
| 12 | 2011 | 45 | |
| 13 | 2001 | 43 | |
| 14 | 2003 | 37 | |
| 15 | 2013 | 35 | |
| 16 | 2006 | 30 | |
| 17 | 2012 | 23 | |
| 18 | 1997 | 22 | |
| 19 | 1993 | 21 | |
| 20 | 2007 | 18 |
About Jacques Aubry
Jacques Aubry is a scholar working on Small Animals, Epidemiology, Infectious Diseases, Physiology and Molecular Biology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (15 papers), Glycosylation and Glycoproteins Research (11 papers), Infectious Diseases and Mycology (11 papers), Tuberculosis Research and Epidemiology (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Lipid Membrane Structure and Behavior (4 papers), Neuroblastoma Research and Treatments (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Small Animals (495 citations), Epidemiology (1.1k citations), Infectious Diseases (440 citations), Microbiology (11 citations) and Immunology (228 citations). Jacques Aubry has collaborated with scholars based in France, United States and Cameroon. Frequent co-authors include Laurent Marsollier, Pierre Legras, Bernard Carbonnelle, Stéphane Birklé, Jean-Paul Saint André, Raymond Robert, L. Gao, Robert K. Yu, Guichao Zeng and Stewart Thomas Cole. Their work appears in journals such as Applied and Environmental Microbiology, Biochimie, PLoS ONE, Archives of Physiology and Biochemistry and Cellular 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.