Martine Chartier
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 4
- Glycosylation and Glycoproteins Research 4
- Biochemical and Structural Characterization 2
- Lipid Membrane Structure and Behavior 2
- Genomics and Phylogenetic Studies 2
- DNA and Nucleic Acid Chemistry 2
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Claude Lazdunski (5 shared papers)Juliette Morlon (5 shared papers)Roland Lloubès (4 shared papers)Daniel Baty (8 shared papers)Stanislas Varenne (2 shared papers)Denis Duché (2 shared papers)L. Letellier (1 shared paper)Danièle Cavard (1 shared paper)
In The Last Decade
Martine Chartier
12 papers receiving 442 citations
Peers
Comparison fields: 5 of 56
- Endocrinology 49
- Genetics 255
- Molecular Medicine 29
- Molecular Biology 359
- Microbiology 22
Countries citing papers authored by Martine Chartier
This map shows the geographic impact of Martine Chartier'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 Martine Chartier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martine Chartier more than expected).
Fields of papers citing papers by Martine Chartier
This network shows the impact of papers produced by Martine Chartier. 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 Martine Chartier. The network helps show where Martine Chartier may publish in the future.
Co-authors
The 25 scholars most cited alongside Martine Chartier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 99 | |
| 2 | 1988 | 87 | |
| 3 | 2013 | 58 | |
| 4 | 1985 | 54 | |
| 5 | 1994 | 48 | |
| 6 | 1988 | 37 | |
| 7 | 1996 | 32 | |
| 8 | 1992 | 24 | |
| 9 | 1983 | 17 | |
| 10 | 2002 | 8 | |
| 11 | 1996 | 6 | |
| 12 | 2004 | 3 |
About Martine Chartier
Martine Chartier is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Microbiology and Ecology, having authored 12 papers that have together received 473 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Biochemical and Structural Characterization (2 papers), Lipid Membrane Structure and Behavior (2 papers), Genomics and Phylogenetic Studies (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Endocrinology (49 citations), Genetics (255 citations), Molecular Medicine (29 citations), Molecular Biology (359 citations) and Microbiology (22 citations). Martine Chartier has collaborated with scholars based in France, Sweden and Australia. Frequent co-authors include Claude Lazdunski, Juliette Morlon, Roland Lloubès, Daniel Baty, Stanislas Varenne, Denis Duché, L. Letellier, Danièle Cavard, F. Pattus and S. Peter Howard. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Molecular Cancer Therapeutics, The EMBO Journal and Journal of Peptide Science.
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.