Stéphane Manenti
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 16
- Ubiquitin and proteasome pathways 12
- Connexins and lens biology 6
- DNA Repair Mechanisms 5
- Cell Biology 24
- Microtubule and mitosis dynamics 12
- Co-authors
- Bernard Payrastre (13 shared papers)Hiroyuki Taniguchi (8 shared papers)Laurence Gamet‐Payrastre (2 shared papers)Cécile Viala (1 shared paper)Hugues Chap (1 shared paper)Christian Rémésy (1 shared paper)Christian Récher (16 shared papers)Jean-Marie Darbon (12 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Blood (7 papers)Oncogene (5 papers)Leukemia (4 papers)FEBS Letters (4 papers)
- Partner nations
- FranceSwitzerlandJapan
In The Last Decade
Stéphane Manenti
83 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 108
- Hematology 577
- Biochemistry 215
- Cell Biology 573
- Molecular Biology 2.4k
- Oncology 618
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 | 484 | |
| 2 | 1999 | 221 | |
| 3 | 2011 | 150 | |
| 4 | 2006 | 149 | |
| 5 | 1993 | 132 | |
| 6 | 2009 | 121 | |
| 7 | 2005 | 111 | |
| 8 | 2020 | 109 | |
| 9 | 2015 | 106 | |
| 10 | 2017 | 85 | |
| 11 | 2014 | 80 | |
| 12 | 1995 | 75 | |
| 13 | 1994 | 70 | |
| 14 | 1998 | 65 | |
| 15 | 2015 | 61 | |
| 16 | 1987 | 60 | |
| 17 | 2009 | 59 | |
| 18 | 2016 | 58 | |
| 19 | 2001 | 57 | |
| 20 | 1994 | 56 |
About Stéphane Manenti
Stéphane Manenti is a scholar working on Molecular Biology, Cell Biology, Hematology, Oncology and Epidemiology, having authored 84 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Ubiquitin and proteasome pathways (12 papers), Microtubule and mitosis dynamics (12 papers), Cancer-related Molecular Pathways (12 papers), Connexins and lens biology (6 papers), Autophagy in Disease and Therapy (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Hematology (577 citations), Biochemistry (215 citations), Cell Biology (573 citations), Molecular Biology (2.4k citations) and Oncology (618 citations). Stéphane Manenti has collaborated with scholars based in France, Switzerland and Japan. Frequent co-authors include Bernard Payrastre, Hiroyuki Taniguchi, Laurence Gamet‐Payrastre, Cécile Viala, Hugues Chap, Christian Rémésy, Christian Récher, Jean-Marie Darbon, Cécile Demur and Hugues Chap. Their work appears in journals such as Journal of Biological Chemistry, Blood, Oncogene, Leukemia 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.