D Cavard
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 21
- Bacterial Genetics and Biotechnology 19
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- 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)
In The Last Decade
D Cavard
30 papers receiving 448 citations
Peers
Comparison fields: 5 of 60
- Endocrinology 89
- Genetics 310
- Molecular Medicine 32
- Molecular Biology 358
- Ecology 88
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 20 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 71 | |
| 2 | 1983 | 67 | |
| 3 | 1987 | 61 | |
| 4 | 1989 | 41 | |
| 5 | 1990 | 32 | |
| 6 | 1985 | 24 | |
| 7 | 1989 | 20 | |
| 8 | [Phospholipase activity and other modifications in metabolism of the phospholipids consequent to the action of the colicins on E. coli]. | 1968 | 18 |
| 9 | 1984 | 18 | |
| 10 | 1991 | 16 | |
| 11 | 1989 | 15 | |
| 12 | 1982 | 14 | |
| 13 | 1982 | 12 | |
| 14 | 1982 | 12 | |
| 15 | 1990 | 11 | |
| 16 | 1994 | 10 | |
| 17 | 1995 | 8 | |
| 18 | 1995 | 6 | |
| 19 | [Reversion of colicin fixation]. | 1971 | 6 |
| 20 | 1990 | 5 |
About D Cavard
D Cavard is a scholar working on Genetics, Molecular Biology, Endocrinology, Food Science and Materials Chemistry, having authored 31 papers that have together received 496 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), RNA and protein synthesis mechanisms (10 papers), Lipid Membrane Structure and Behavior (4 papers), Escherichia coli research studies (4 papers), Enzyme Structure and Function (4 papers), Metabolism and Genetic Disorders (3 papers), Bacteriophages and microbial interactions (3 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Endocrinology (89 citations), Genetics (310 citations), Molecular Medicine (32 citations), Molecular Biology (358 citations) and Ecology (88 citations). D Cavard has collaborated with scholars based in France, Italy and Morocco. Frequent co-authors include Claude Lazdunski, S. Peter Howard, Daniel Baty, F. Pattus, H.M. Verheij, R. Verger, Bénédicte Dargent, Jean‐Marie Pagès, Alain Bernadac and J Polonovski. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Biochimie, Microbiology and The EMBO Journal.
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.