Marc Poirot
- Cancer Research top 0.5%
- Cancer, Lipids, and Metabolism 21
- MicroRNA in disease regulation 8
- Molecular Biology top 2%
- Steroid Chemistry and Biochemistry 15
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 8
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 9
- Surgery top 2%
- Cholesterol and Lipid Metabolism 42
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- Estrogen and related hormone effects 30
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- Hormonal Regulation and Hypertension 9
- Co-authors
- Sandrine Silvente‐PoirotMichel RecordPhilippe de MédinaKévin CarayonCaroline SubraMichaël R. PaillasseFlorence DalencMichael J.O. Wakelam
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Marc Poirot
98 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 1.8k
- Molecular Biology 3.3k
- Biochemistry 242
- Pharmacology 242
- Surgery 1.2k
Countries citing papers authored by Marc Poirot
This map shows the geographic impact of Marc Poirot'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 Marc Poirot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Poirot more than expected).
Fields of papers citing papers by Marc Poirot
This network shows the impact of papers produced by Marc Poirot. 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 Marc Poirot. The network helps show where Marc Poirot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Poirot, 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 | 2025 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 12 | |
| 10 | 2013 | 102 | |
| 11 | Exosomes as new vesicular lipid transporters involved in cell–cell communication and various pathophysiologiesbreakdown → | 2013 | 688 |
| 12 | 2013 | 52 | |
| 13 | 2011 | 48 | |
| 14 | 2011 | 14 | |
| 15 | Exosomes account for vesicle-mediated transcellular transport of activatable phospholipases and prostaglandinsbreakdown → | 2010 | 527 |
| 16 | 2010 | 55 | |
| 17 | 2009 | 74 | |
| 18 | 2009 | 60 | |
| 19 | 2009 | 5 | |
| 20 | 2008 | 51 |
About Marc Poirot
Marc Poirot is a scholar working on Cancer Research, Biochemistry and Pharmacology, having authored 99 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (42 papers), Estrogen and related hormone effects (30 papers), Cancer, Lipids, and Metabolism (21 papers), Steroid Chemistry and Biochemistry (15 papers), Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (9 papers), Eicosanoids and Hypertension Pharmacology (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (3.3k citations) and Biochemistry (242 citations). Marc Poirot has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Sandrine Silvente‐Poirot, Michel Record, Philippe de Médina, Kévin Carayon, Caroline Subra, Michaël R. Paillasse, Florence Dalenc, Michael J.O. Wakelam, Bruno Payré and Gilles Favre. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.