Catherine Perrot‐Rechenmann
- Plant Science top 0.5%
- Molecular Biology top 5%
- Cell Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Biotechnology top 10%
- Co-authors
- Karine DavidRichard NapierAlexandre TromasHélène Barbier‐BrygooPhilippe MullerJiřı́ FrimlNils BraunPierre Gadal
- Topics
- Plant Molecular Biology Research (29 papers)Plant Reproductive Biology (21 papers)Plant tissue culture and regeneration (13 papers)
- Partner nations
- FranceUnited KingdomSweden
In The Last Decade
Catherine Perrot‐Rechenmann
42 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 90
- Plant Science 2.8k
- Molecular Biology 2.4k
- Cell Biology 114
- Ecology, Evolution, Behavior and Systematics 88
- Biotechnology 72
Countries citing papers authored by Catherine Perrot‐Rechenmann
This map shows the geographic impact of Catherine Perrot‐Rechenmann'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 Catherine Perrot‐Rechenmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Perrot‐Rechenmann more than expected).
Fields of papers citing papers by Catherine Perrot‐Rechenmann
This network shows the impact of papers produced by Catherine Perrot‐Rechenmann. 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 Catherine Perrot‐Rechenmann. The network helps show where Catherine Perrot‐Rechenmann may publish in the future.
Co-authorship network of co-authors of Catherine Perrot‐Rechenmann
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Perrot‐Rechenmann. A scholar is included among the top collaborators of Catherine Perrot‐Rechenmann 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 Catherine Perrot‐Rechenmann. Catherine Perrot‐Rechenmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 109 | |
| 3 | 60 | |
| 4 | 194 | |
| 5 | 85 | |
| 6 | 365 | |
| 7 | 140 | |
| 8 | 19 | |
| 9 | 40 | |
| 10 | 24 | |
| 11 | 139 | |
| 12 | 78 | |
| 13 | 37 | |
| 14 | 57 | |
| 15 | 68 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 24 | |
| 19 | 47 | |
| 20 | 12 |
About Catherine Perrot‐Rechenmann
Catherine Perrot‐Rechenmann is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (29 papers), Plant Reproductive Biology (21 papers) and Plant tissue culture and regeneration (13 papers). The work is most often cited by research in Plant Science (2.8k citations), Molecular Biology (2.4k citations) and Biotechnology (72 citations). Catherine Perrot‐Rechenmann has collaborated with scholars based in France, United Kingdom and Sweden. Frequent co-authors include Karine David, Richard Napier, Alexandre Tromas, Hélène Barbier‐Brygoo, Philippe Muller, Jiřı́ Friml, Nils Braun, Pierre Gadal, Spencer Brown and Nathalie Leblanc. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.