Danièle Cavard
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 22
- Bacterial Genetics and Biotechnology 20
-
- Escherichia coli research studies 4
- Co-authors
- Claude J. 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)Bénédicte Dargent (1 shared paper)R. Verger (1 shared paper)Jean‐Marie Pagès (2 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Toxicon (1 paper)Biochemistry (1 paper)Biochimie (1 paper)The EMBO Journal (1 paper)
- Partner nations
- FranceNetherlandsItaly
In The Last Decade
Danièle Cavard
31 papers receiving 480 citations
Peers
Comparison fields: 5 of 59
- Endocrinology 92
- Genetics 341
- Molecular Medicine 33
- Molecular Biology 392
- Food Science 70
Countries citing papers authored by Danièle Cavard
This map shows the geographic impact of Danièle 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 Danièle Cavard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Cavard more than expected).
Fields of papers citing papers by Danièle Cavard
This network shows the impact of papers produced by Danièle 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 Danièle Cavard. The network helps show where Danièle Cavard may publish in the future.
Co-authors
The 22 scholars most cited alongside Danièle 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 | 74 | |
| 2 | 1983 | 71 | |
| 3 | 1987 | 68 | |
| 4 | 1989 | 43 | |
| 5 | 1990 | 33 | |
| 6 | 1985 | 25 | |
| 7 | 1989 | 24 | |
| 8 | 1984 | 20 | |
| 9 | [Phospholipase activity and other modifications in metabolism of the phospholipids consequent to the action of the colicins on E. coli]. | 1968 | 19 |
| 10 | 1991 | 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 | [Reversion of colicin fixation]. | 1971 | 6 |
| 20 | 1995 | 6 |
About Danièle Cavard
Danièle Cavard is a scholar working on Genetics, Endocrinology, Molecular Biology, Food Science and Clinical Biochemistry, 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), Lipid Membrane Structure and Behavior (4 papers), Escherichia coli research studies (4 papers), Enzyme Structure and Function (4 papers), Bacteriophages and microbial interactions (3 papers), Probiotics and Fermented Foods (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Endocrinology (92 citations), Genetics (341 citations), Molecular Medicine (33 citations), Molecular Biology (392 citations) and Food Science (70 citations). Danièle Cavard has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Claude J. Lazdunski, S. Peter Howard, Daniel Baty, F. Pattus, H.M. Verheij, Bénédicte Dargent, R. Verger, Jean‐Marie Pagès, Bauke Oudega and Alain Bernadac. Their work appears in journals such as Journal of Bacteriology, Toxicon, Biochemistry, Biochimie 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.