Marc Robinson‐Rechavi
- Molecular Biology top 2%
- Genetics top 0.5%
- Plant Science top 5%
- Ecology top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Vincent LaudetHéctor EscriváNadezda Kryuchkova-MostacciDorothée HuchonRomain A. StuderJulien RouxFrédéric BrunetWalid H. Gharib
- Topics
- Genomics and Phylogenetic Studies (43 papers)RNA and protein synthesis mechanisms (17 papers)Bioinformatics and Genomic Networks (17 papers)
- Cited by
- AgingGeneticsPhysiology
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Marc Robinson‐Rechavi
139 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 164
- Molecular Biology 3.4k
- Genetics 2.1k
- Plant Science 793
- Ecology 741
- Ecology, Evolution, Behavior and Systematics 530
Countries citing papers authored by Marc Robinson‐Rechavi
This map shows the geographic impact of Marc Robinson‐Rechavi'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 Marc Robinson‐Rechavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Robinson‐Rechavi more than expected).
Fields of papers citing papers by Marc Robinson‐Rechavi
This network shows the impact of papers produced by Marc Robinson‐Rechavi. 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 Marc Robinson‐Rechavi. The network helps show where Marc Robinson‐Rechavi may publish in the future.
Co-authorship network of co-authors of Marc Robinson‐Rechavi
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Robinson‐Rechavi. A scholar is included among the top collaborators of Marc Robinson‐Rechavi 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 Marc Robinson‐Rechavi. Marc Robinson‐Rechavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 29 | |
| 7 | 26 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 49 | |
| 16 | 17 | |
| 17 | 26 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | Targeting the Lunar Reconnaissance Orbiter Narrow Angle Cameras: Target Sources and Selection Strategy | 2 |
About Marc Robinson‐Rechavi
Marc Robinson‐Rechavi is a scholar working on Aging, Genetics and Molecular Biology, having authored 143 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (43 papers), RNA and protein synthesis mechanisms (17 papers) and Bioinformatics and Genomic Networks (17 papers). The work is most often cited by research in Aging (196 citations), Genetics (2.1k citations) and Physiology (285 citations). Marc Robinson‐Rechavi has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Vincent Laudet, Héctor Escrivá, Nadezda Kryuchkova-Mostacci, Dorothée Huchon, Romain A. Studer, Julien Roux, Frédéric Brunet, Walid H. Gharib, Adam Godzik and Christian Gautier. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.