D Cavard
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 22
- Bacterial Genetics and Biotechnology 20
-
- RNA and protein synthesis mechanisms 10
- Lipid Membrane Structure and Behavior 4
- Co-authors
- Claude Lazdunski (14 shared papers)S. Peter Howard (4 shared papers)Daniel Baty (3 shared papers)F. Pattus (3 shared papers)H.M. Verheij (1 shared paper)R. Verger (1 shared paper)Bénédicte Dargent (1 shared paper)Jean‐Marie Pagès (2 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Microbiology (1 paper)Biochimie (1 paper)Toxicon (1 paper)Biochemistry (1 paper)
- Partner nations
- FranceNetherlandsItaly
In The Last Decade
D Cavard
31 papers receiving 487 citations
Peers
Comparison fields: 5 of 59
- Endocrinology 93
- Genetics 341
- Molecular Medicine 33
- Molecular Biology 392
- Microbiology 23
Countries citing papers authored by D Cavard
This map shows the geographic impact of D Cavard'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 D Cavard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Cavard more than expected).
Fields of papers citing papers by D Cavard
This network shows the impact of papers produced by D Cavard. 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 D Cavard. The network helps show where D Cavard may publish in the future.
Co-authors
The 21 scholars most cited alongside D Cavard, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 73 | |
| 2 | 1983 | 71 | |
| 3 | 1987 | 68 | |
| 4 | 1989 | 44 | |
| 5 | 1990 | 33 | |
| 6 | 1985 | 25 | |
| 7 | 1989 | 24 | |
| 8 | 1984 | 20 | |
| 9 | 1991 | 19 | |
| 10 | [Phospholipase activity and other modifications in metabolism of the phospholipids consequent to the action of the colicins on E. coli]. | 1968 | 19 |
| 11 | 1989 | 16 | |
| 12 | 1982 | 15 | |
| 13 | 1992 | 15 | |
| 14 | 1982 | 13 | |
| 15 | 1990 | 13 | |
| 16 | 1982 | 11 | |
| 17 | 1994 | 10 | |
| 18 | 1995 | 8 | |
| 19 | 1995 | 6 | |
| 20 | [Reversion of colicin fixation]. | 1971 | 6 |
About D Cavard
D Cavard is a scholar working on Genetics, Molecular Biology, Endocrinology, Food Science and Materials Chemistry, having authored 32 papers that have together received 543 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (20 papers), RNA and protein synthesis mechanisms (10 papers), Enzyme Structure and Function (4 papers), Lipid Membrane Structure and Behavior (4 papers), Escherichia coli research studies (4 papers), Metabolism and Genetic Disorders (3 papers), Probiotics and Fermented Foods (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology (93 citations), Genetics (341 citations), Molecular Medicine (33 citations), Molecular Biology (392 citations) and Microbiology (23 citations). D Cavard has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Claude Lazdunski, S. Peter Howard, Daniel Baty, F. Pattus, H.M. Verheij, R. Verger, Bénédicte Dargent, Jean‐Marie Pagès, Bauke Oudega and Alain Bernadac. Their work appears in journals such as Journal of Bacteriology, Microbiology, Biochimie, Toxicon and Biochemistry.
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.