Jérôme Salse
- Plant Science top 0.5%
- Molecular Biology top 5%
- Genetics top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Agronomy and Crop Science top 5%
- Co-authors
- Caroline PontFlorent MuratUmar Masood QuraishiMichaël AbroukStéphanie BolotRichard CookeAlix ArmeroMichel Delseny
- Topics
- Chromosomal and Genetic Variations (35 papers)Wheat and Barley Genetics and Pathology (23 papers)Genomics and Phylogenetic Studies (23 papers)
- Cited by
- Plant ScienceHorticultureGenetics
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Jérôme Salse
60 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 79
- Plant Science 2.9k
- Molecular Biology 1.4k
- Genetics 936
- Ecology, Evolution, Behavior and Systematics 374
- Agronomy and Crop Science 212
Countries citing papers authored by Jérôme Salse
This map shows the geographic impact of Jérôme Salse'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 Jérôme Salse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Salse more than expected).
Fields of papers citing papers by Jérôme Salse
This network shows the impact of papers produced by Jérôme Salse. 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 Jérôme Salse. The network helps show where Jérôme Salse may publish in the future.
Co-authorship network of co-authors of Jérôme Salse
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Salse. A scholar is included among the top collaborators of Jérôme Salse 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 Jérôme Salse. Jérôme Salse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 20 | |
| 7 | 12 | |
| 8 | Chapter twelve - epigenetics in forest trees: state of the art and potential implications for breeding and management in a context of climate change. | 9 |
| 9 | 33 | |
| 10 | 42 | |
| 11 | Function annotation enrichment assisting function prediction of plant genes. | 2 |
| 12 | 74 | |
| 13 | 38 | |
| 14 | 62 | |
| 15 | 46 | |
| 16 | 42 | |
| 17 | 155 | |
| 18 | 60 | |
| 19 | 40 | |
| 20 | 289 |
About Jérôme Salse
Jérôme Salse is a scholar working on Plant Science, Horticulture and Genetics, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (35 papers), Wheat and Barley Genetics and Pathology (23 papers) and Genomics and Phylogenetic Studies (23 papers). The work is most often cited by research in Plant Science (2.9k citations), Horticulture (43 citations) and Genetics (936 citations). Jérôme Salse has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Caroline Pont, Florent Murat, Umar Masood Quraishi, Michaël Abrouk, Stéphanie Bolot, Richard Cooke, Alix Armero, Michel Delseny, Catherine Feuillet and Joachim Messing. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.
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.