Rémi Dulermo
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- Genomics and Phylogenetic Studies
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- Lipid metabolism and biosynthesis 5
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- DNA Repair Mechanisms 8
- Fungal and yeast genetics research 4
- Microbial Metabolic Engineering and Bioproduction 4
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Jean‐Marc Nicaud (10 shared papers)Rodrigo Ledesma‐Amaro (4 shared papers)Thierry Dulermo (4 shared papers)Heber Gamboa‐Meléndez (6 shared papers)Xochitl Niehus (1 shared paper)France Thévenieau (5 shared papers)Arjan de Groot (5 shared papers)Suzanne Sommer (5 shared papers)
In The Last Decade
Rémi Dulermo
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 809
- Biochemistry 69
- Genetics 238
- Biotechnology 45
- Aging 10
Countries citing papers authored by Rémi Dulermo
This map shows the geographic impact of Rémi Dulermo'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 Rémi Dulermo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Dulermo more than expected).
Fields of papers citing papers by Rémi Dulermo
This network shows the impact of papers produced by Rémi Dulermo. 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 Rémi Dulermo. The network helps show where Rémi Dulermo may publish in the future.
Co-authors
The 25 scholars most cited alongside Rémi Dulermo, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 152 | |
| 2 | 2009 | 137 | |
| 3 | 2015 | 112 | |
| 4 | 2017 | 102 | |
| 5 | 2009 | 75 | |
| 6 | 2014 | 72 | |
| 7 | 2015 | 68 | |
| 8 | 2007 | 54 | |
| 9 | 2014 | 47 | |
| 10 | 2013 | 46 | |
| 11 | 2015 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 24 | |
| 14 | 2009 | 22 | |
| 15 | 2015 | 20 | |
| 16 | 2014 | 18 | |
| 17 | 2015 | 18 | |
| 18 | 2015 | 11 | |
| 19 | 2020 | 8 | |
| 20 | 2018 | 7 |
About Rémi Dulermo
Rémi Dulermo is a scholar working on Biochemistry, Molecular Biology, Genetics, Biotechnology and Materials Chemistry, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Bacterial Genetics and Biotechnology (7 papers), Lipid metabolism and biosynthesis (5 papers), Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Genomics and Chromatin Dynamics (2 papers), Enzyme Structure and Function (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (809 citations), Biochemistry (69 citations), Genetics (238 citations), Biotechnology (45 citations) and Aging (10 citations). Rémi Dulermo has collaborated with scholars based in France, Poland and Türkiye. Frequent co-authors include Jean‐Marc Nicaud, Rodrigo Ledesma‐Amaro, Thierry Dulermo, Heber Gamboa‐Meléndez, Xochitl Niehus, France Thévenieau, Arjan de Groot, Suzanne Sommer, Magdalena Rakicka and Laurence Blanchard. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Molecular Microbiology, Nature Communications, FEMS Yeast Research and Frontiers in Microbiology.
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.