C. Pagès
Impact in
- Endocrinology top 10%
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 5
- DNA Repair Mechanisms 3
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- François Cornet (8 shared papers)Christian Lesterlin (3 shared papers)Jean‐Pierre Becquemin (3 shared papers)Éric Allaire (4 shared papers)Meriem El Karoui (2 shared papers)Jianping Dai (2 shared papers)Omar A. Saleh (1 shared paper)François‐Xavier Barre (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)PLoS Genetics (3 papers)Nature Communications (1 paper)The EMBO Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
C. Pagès
17 papers receiving 742 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 67
- Genetics 311
- Molecular Medicine 46
- Ecology 167
- Molecular Biology 391
Countries citing papers authored by C. Pagès
This map shows the geographic impact of C. Pagès'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 C. Pagès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Pagès more than expected).
Fields of papers citing papers by C. Pagès
This network shows the impact of papers produced by C. Pagès. 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 C. Pagès. The network helps show where C. Pagès may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Pagès, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 160 | |
| 2 | 1998 | 123 | |
| 3 | 2005 | 114 | |
| 4 | 2004 | 67 | |
| 5 | 2007 | 56 | |
| 6 | 2008 | 47 | |
| 7 | 2016 | 44 | |
| 8 | 2003 | 33 | |
| 9 | 2010 | 31 | |
| 10 | 2011 | 25 | |
| 11 | 2012 | 24 | |
| 12 | 2016 | 20 | |
| 13 | 2002 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | [Serious kidney cyst. Can we obtain a positive diagnosis using tomoechography instead of arteriography?]. | 1974 | 1 |
| 17 | Local endovascular treatment of aortic aneurysms. From operating theater to lab bench. | 2004 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2016 | 0 | |
| 20 | 2016 | 0 |
About C. Pagès
C. Pagès is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Endocrinology and Ecology, having authored 21 papers that have together received 750 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (5 papers), Aortic aneurysm repair treatments (4 papers), DNA Repair Mechanisms (3 papers), Escherichia coli research studies (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology (67 citations), Genetics (311 citations), Molecular Medicine (46 citations), Ecology (167 citations) and Molecular Biology (391 citations). C. Pagès has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include François Cornet, Christian Lesterlin, Jean‐Pierre Becquemin, Éric Allaire, Meriem El Karoui, Jianping Dai, Omar A. Saleh, François‐Xavier Barre, Danièle Daviaud and Max Lafontan. Their work appears in journals such as Nucleic Acids Research, PLoS Genetics, Nature Communications, The EMBO Journal and PLoS ONE.
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.