D Cavard

600 citations
31 papers · 496 indexed · h-index 13

D Cavard

30 papers receiving 448 citations

Peers

D Cavard
Comparison fields: 5 of 60
  • Endocrinology 89
  • Genetics 310
  • Molecular Medicine 32
  • Molecular Biology 358
  • Ecology 88
Replace Juliette Morlon with:
Juliette Morlon France
Martine Chartier France
Rosa Nagel de Zwaig Venezuela
Stanislas Varenne France
C Krämer Germany
A J Mazaitis United States
J Ryu United States
Paul Wolfe United States
Fatima Rasulova United States
Eva Kocsis United States
D Cavard relative to Juliette Morlon France Juliette Morlon's profile →
Citations per field
00.5×1.5×
Juliette Morlon · 1×
Citations per year

Countries citing papers authored by D Cavard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with D Cavard Line = papers co-authored together D Cavard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19956
2 199410
3 19944
4 199011
5 19905
6 199032
7 198915
8 198941
9 198920
10 198761
11 198367
12 19822
13 198212
14 198171
15
[Transformation of phospholipids of group A streptococcus L forms by the action of human serum complement].
19731
16
[Reversion of colicin fixation].
19716
17
[Time necessary for a colicin fixed on a bacterium to start irreversible processes].
19705
18
[Various modification of E. coli metabolism following the action of colicin E2].
19692
19
[Modifications of the metabolism of the phospholipids of E. coli consecutive to the action of colchicine K].
19671
20
[Some data on the fixation of colicins].
19661

About D Cavard

D Cavard is a scholar working on Endocrinology, Genetics, Clinical Biochemistry, Molecular Biology and Biochemistry, 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), Bacteriophages and microbial interactions (3 papers), Metabolism and Genetic Disorders (3 papers) and Protein Structure and Dynamics (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, J Polonovski and Alain Bernadac. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Microbiology, Biochimie and Toxicon.

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.

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