Kévin Moreau
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Physiology top 5%
- Physiology top 0.2%
- Co-authors
- David C. RubinszteinClaudia PuriBrinda RavikumarMaurizio RennaShouqing LuoMaría Jiménez-SánchezLuca JahreissFiona M. Menzies
- Topics
- Autophagy in Disease and Therapy (20 papers)Cellular transport and secretion (14 papers)Protein Degradation and Inhibitors (8 papers)
- Cited by
- PhysiologyCell BiologyEpidemiology
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Kévin Moreau
45 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Epidemiology 3.2k
- Molecular Biology 2.1k
- Cell Biology 1.5k
- Physiology 777
- Physiology 612
Countries citing papers authored by Kévin Moreau
This map shows the geographic impact of Kévin Moreau'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 Kévin Moreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kévin Moreau more than expected).
Fields of papers citing papers by Kévin Moreau
This network shows the impact of papers produced by Kévin Moreau. 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 Kévin Moreau. The network helps show where Kévin Moreau may publish in the future.
Co-authorship network of co-authors of Kévin Moreau
This figure shows the co-authorship network connecting the top 25 collaborators of Kévin Moreau. A scholar is included among the top collaborators of Kévin Moreau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kévin Moreau. Kévin Moreau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 11 | |
| 7 | 23 | |
| 8 | 22 | |
| 9 | 133 | |
| 10 | 27 | |
| 11 | 92 | |
| 12 | 9 | |
| 13 | Mutation in VPS35 associated with Parkinson’s disease impairs WASH complex association and inhibits autophagybreakdown → | 351 |
| 14 | 33 | |
| 15 | 47 | |
| 16 | 330 | |
| 17 | 133 | |
| 18 | 68 | |
| 19 | Approche moléculaire des effets de polluants sur l'infection à virus OsHV-1 (Ostreid Herpesvirus 1) chez l'huître creuse, Crassostrea gigas | 1 |
| 20 | 213 |
About Kévin Moreau
Kévin Moreau is a scholar working on Cell Biology, Physiology and Endocrinology, having authored 48 papers that have together received 5.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (20 papers), Cellular transport and secretion (14 papers) and Protein Degradation and Inhibitors (8 papers). The work is most often cited by research in Physiology (612 citations), Cell Biology (1.5k citations) and Epidemiology (3.2k citations). Kévin Moreau has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include David C. Rubinsztein, Claudia Puri, Brinda Ravikumar, Maurizio Renna, Shouqing Luo, María Jiménez-Sánchez, Luca Jahreiss, Fiona M. Menzies, Carla F. Bento and Farah H. Siddiqi. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.
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.