Éric Bailly
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Photosynthetic Processes and Mechanisms
- Epigenetics and DNA Methylation
Papers in
- Cell Biology 10
- Microtubule and mitosis dynamics 10
- Cellular transport and secretion 2
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- Ubiquitin and proteasome pathways 4
- 14-3-3 protein interactions 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Michel Bornens (7 shared papers)M. Dorée (1 shared paper)Paul Nurse (1 shared paper)Steven I. Reed (3 shared papers)Jonathon Pines (1 shared paper)Tony Hunter (1 shared paper)Ahmed Zahraoui (1 shared paper)Mary McCaffrey (1 shared paper)
- Journals
- Journal of Cell Science (4 papers)Nature (2 papers)Genes & Development (1 paper)The EMBO Journal (1 paper)Cell Cycle (1 paper)
- Partner nations
- FranceUnited StatesPuerto Rico
In The Last Decade
Éric Bailly
13 papers receiving 976 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Cell Biology 610
- Molecular Biology 826
- Oncology 293
- Aging 14
- Physiology 21
Countries citing papers authored by Éric Bailly
This map shows the geographic impact of Éric Bailly'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 Éric Bailly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Bailly more than expected).
Fields of papers citing papers by Éric Bailly
This network shows the impact of papers produced by Éric Bailly. 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 Éric Bailly. The network helps show where Éric Bailly may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Bailly, 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 | p34cdc2 is located in both nucleus and cytoplasm; part is centrosomally associated at G2/M and enters vesicles at anaphase. Hit paper breakdown → | 1989 | 338 |
| 2 | 1992 | 172 | |
| 3 | 1991 | 137 | |
| 4 | 1994 | 133 | |
| 5 | 1999 | 72 | |
| 6 | 2003 | 43 | |
| 7 | 1999 | 36 | |
| 8 | 1992 | 27 | |
| 9 | 2007 | 18 | |
| 10 | 1991 | 11 | |
| 11 | 1992 | 7 | |
| 12 | 2013 | 5 | |
| 13 | 1992 | 2 |
About Éric Bailly
Éric Bailly is a scholar working on Cell Biology, Molecular Biology, Oncology, Plant Science and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (3 papers), Plant nutrient uptake and metabolism (2 papers), 14-3-3 protein interactions (2 papers), Epigenetics and DNA Methylation (2 papers), Cellular transport and secretion (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Cell Biology (610 citations), Molecular Biology (826 citations), Oncology (293 citations), Aging (14 citations) and Physiology (21 citations). Éric Bailly has collaborated with scholars based in France, United States and Puerto Rico. Frequent co-authors include Michel Bornens, M. Dorée, Paul Nurse, Steven I. Reed, Jonathon Pines, Tony Hunter, Ahmed Zahraoui, Mary McCaffrey, Nicolas Touchot and Bruno Goud. Their work appears in journals such as Journal of Cell Science, Nature, Genes & Development, The EMBO Journal and Cell Cycle.
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.