Stéphane Manenti
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
Papers in
- Hematology 26
- Acute Myeloid Leukemia Research 25
-
- Protein Kinase Regulation and GTPase Signaling 17
- Lipid Membrane Structure and Behavior 7
- PI3K/AKT/mTOR signaling in cancer 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Bernard Payrastre (14 shared papers)Hugues Chap (4 shared papers)Laurence Gamet‐Payrastre (3 shared papers)Christian Récher (18 shared papers)Georgine Agullo (2 shared papers)Christian Rémésy (2 shared papers)Cécile Viala (1 shared paper)Véronique Mansat‐De Mas (13 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Blood (8 papers)Leukemia (5 papers)Oncogene (5 papers)FEBS Letters (4 papers)
- Partner nations
- FranceSwitzerlandJapan
In The Last Decade
Stéphane Manenti
84 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 100
- Hematology 799
- Biochemistry 187
- Molecular Biology 1.6k
- Pharmacology 303
- Cell Biology 262
Countries citing papers authored by Stéphane Manenti
This map shows the geographic impact of Stéphane Manenti'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 Stéphane Manenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Manenti more than expected).
Fields of papers citing papers by Stéphane Manenti
This network shows the impact of papers produced by Stéphane Manenti. 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 Stéphane Manenti. The network helps show where Stéphane Manenti may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Manenti, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 479 | |
| 2 | 1999 | 219 | |
| 3 | 2011 | 171 | |
| 4 | 2006 | 161 | |
| 5 | 1993 | 132 | |
| 6 | 2009 | 128 | |
| 7 | 2020 | 128 | |
| 8 | 2005 | 114 | |
| 9 | 2020 | 111 | |
| 10 | 2015 | 110 | |
| 11 | 2013 | 109 | |
| 12 | 2017 | 95 | |
| 13 | 2014 | 87 | |
| 14 | 1995 | 75 | |
| 15 | 1994 | 69 | |
| 16 | 2021 | 67 | |
| 17 | 1998 | 66 | |
| 18 | 2016 | 65 | |
| 19 | 2009 | 63 | |
| 20 | 1987 | 60 |
About Stéphane Manenti
Stéphane Manenti is a scholar working on Hematology, Molecular Biology, Oncology, Cell Biology and Ophthalmology, having authored 84 papers that have together received 4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (25 papers), Protein Kinase Regulation and GTPase Signaling (17 papers), Cancer-related Molecular Pathways (11 papers), Lipid Membrane Structure and Behavior (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Autophagy in Disease and Therapy (4 papers), Microtubule and mitosis dynamics (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (799 citations), Biochemistry (187 citations), Molecular Biology (1.6k citations), Pharmacology (303 citations) and Cell Biology (262 citations). Stéphane Manenti has collaborated with scholars based in France, Switzerland and Japan. Frequent co-authors include Bernard Payrastre, Hugues Chap, Laurence Gamet‐Payrastre, Christian Récher, Georgine Agullo, Christian Rémésy, Cécile Viala, Véronique Mansat‐De Mas, Jean-Marie Darbon and Cécile Demur. Their work appears in journals such as Journal of Biological Chemistry, Blood, Leukemia, Oncogene and FEBS Letters.
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.