Jacques Oberto
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 24
- RNA and protein synthesis mechanisms 19
- DNA Repair Mechanisms 4
- Machine Learning in Bioinformatics 3
- Ecology 29
- Bacteriophages and microbial interactions 25
- Microbial Community Ecology and Physiology 7
- Co-authors
- Josette Rouvière‐Yaniv (5 shared papers)Robert A. Weisberg (6 shared papers)Patrick Forterre (15 shared papers)Jacqueline Plumbridge (6 shared papers)Valérie Jooste (1 shared paper)Karl Drlica (1 shared paper)John Davison (2 shared papers)Max E. Gottesman (1 shared paper)
- Journals
- Molecular Microbiology (5 papers)Biochimie (5 papers)Journal of Bacteriology (4 papers)Bioinformatics (4 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- FranceUnited StatesHungary
In The Last Decade
Jacques Oberto
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Ecology 528
- Genetics 566
- Endocrinology 93
- Molecular Biology 1.1k
- Molecular Medicine 64
Countries citing papers authored by Jacques Oberto
This map shows the geographic impact of Jacques Oberto'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 Oberto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Oberto more than expected).
Fields of papers citing papers by Jacques Oberto
This network shows the impact of papers produced by Jacques Oberto. 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 Oberto. The network helps show where Jacques Oberto may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Oberto, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 148 | |
| 2 | 2009 | 138 | |
| 3 | 1994 | 78 | |
| 4 | 1989 | 63 | |
| 5 | 2013 | 63 | |
| 6 | 1989 | 61 | |
| 7 | 2003 | 57 | |
| 8 | 2009 | 53 | |
| 9 | 2013 | 49 | |
| 10 | 1996 | 40 | |
| 11 | 1985 | 39 | |
| 12 | 2013 | 35 | |
| 13 | 2011 | 33 | |
| 14 | 2016 | 33 | |
| 15 | 2014 | 30 | |
| 16 | 1993 | 29 | |
| 17 | 2010 | 27 | |
| 18 | 1996 | 26 | |
| 19 | 2008 | 24 | |
| 20 | 1993 | 23 |
About Jacques Oberto
Jacques Oberto is a scholar working on Molecular Biology, Ecology, Genetics, Molecular Medicine and Plant Science, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (28 papers), Bacteriophages and microbial interactions (25 papers), Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (19 papers), Microbial Community Ecology and Physiology (7 papers), DNA Repair Mechanisms (4 papers), Machine Learning in Bioinformatics (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Ecology (528 citations), Genetics (566 citations), Endocrinology (93 citations), Molecular Biology (1.1k citations) and Molecular Medicine (64 citations). Jacques Oberto has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include Josette Rouvière‐Yaniv, Robert A. Weisberg, Patrick Forterre, Jacqueline Plumbridge, Valérie Jooste, Karl Drlica, John Davison, Max E. Gottesman, Isabelle Gaugué and Evelyne Marguet. Their work appears in journals such as Molecular Microbiology, Biochimie, Journal of Bacteriology, Bioinformatics and Journal of Molecular Biology.
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.