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 14
- Ubiquitin and proteasome pathways 13
- Connexins and lens biology 5
- Histone Deacetylase Inhibitors Research 5
- Hematology 23
- Acute Myeloid Leukemia Research 18
- Co-authors
- Bernard Payrastre (13 shared papers)Hiroyuki Taniguchi (7 shared papers)Laurence Gamet‐Payrastre (2 shared papers)Christian Récher (16 shared papers)Cécile Viala (1 shared paper)Christian Rémésy (1 shared paper)Hugues Chap (1 shared paper)Jean-Marie Darbon (10 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
79 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 106
- Hematology 611
- Biochemistry 214
- Molecular Biology 2.4k
- Cell Biology 546
- Oncology 646
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 463 | |
| 2 | 1999 | 211 | |
| 3 | 2011 | 147 | |
| 4 | 2006 | 143 | |
| 5 | 1993 | 123 | |
| 6 | 2009 | 117 | |
| 7 | 2020 | 106 | |
| 8 | 2005 | 105 | |
| 9 | 2015 | 103 | |
| 10 | 2017 | 82 | |
| 11 | 2014 | 79 | |
| 12 | 1995 | 72 | |
| 13 | 1994 | 69 | |
| 14 | 1998 | 64 | |
| 15 | 2015 | 61 | |
| 16 | 2016 | 58 | |
| 17 | 2009 | 57 | |
| 18 | 2001 | 57 | |
| 19 | 1987 | 54 | |
| 20 | 1992 | 53 |
About Stéphane Manenti
Stéphane Manenti is a scholar working on Molecular Biology, Hematology, Cell Biology, Oncology and Epidemiology, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Cancer-related Molecular Pathways (13 papers), Ubiquitin and proteasome pathways (13 papers), Microtubule and mitosis dynamics (12 papers), Autophagy in Disease and Therapy (6 papers), Connexins and lens biology (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Hematology (611 citations), Biochemistry (214 citations), Molecular Biology (2.4k citations), Cell Biology (546 citations) and Oncology (646 citations). Stéphane Manenti has collaborated with scholars based in France, Switzerland and Japan. Frequent co-authors include Bernard Payrastre, Hiroyuki Taniguchi, Laurence Gamet‐Payrastre, Christian Récher, Cécile Viala, Christian Rémésy, Hugues Chap, Jean-Marie Darbon, Cécile Demur and Arnaud Besson. 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.