Thomas Schiex
Impact in
- Plant Science top 10%
- Legume Nitrogen Fixing Symbiosis
- Chromosomal and Genetic Variations
- Plant-Microbe Interactions and Immunity
- Plant nutrient uptake and metabolism
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
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- Genomics and Phylogenetic Studies 11
- RNA and protein synthesis mechanisms 7
- Machine Learning in Bioinformatics 1
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- Chromosomal and Genetic Variations 2
- Wheat and Barley Genetics and Pathology 1
- Plant Molecular Biology Research 1
- Co-authors
- Jérôme Gouzy (6 shared papers)Christine Gaspin (2 shared papers)Sébastien Carrère (2 shared papers)Erika Sallet (3 shared papers)Sylvain Foissac (2 shared papers)Pierre Rouzé (2 shared papers)Claude Bruand (1 shared paper)Laurent Sauviac (1 shared paper)
In The Last Decade
Thomas Schiex
14 papers receiving 525 citations
Peers
Comparison fields: 5 of 57
- Plant Science 287
- Genetics 148
- Horticulture 4
- Molecular Biology 273
- Insect Science 44
Countries citing papers authored by Thomas Schiex
This map shows the geographic impact of Thomas Schiex'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 Thomas Schiex with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schiex more than expected).
Fields of papers citing papers by Thomas Schiex
This network shows the impact of papers produced by Thomas Schiex. 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 Thomas Schiex. The network helps show where Thomas Schiex may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Schiex, 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 | CARTHAGENE: constructing and joining maximum likelihood genetic maps. | 1997 | 92 |
| 2 | 2009 | 86 | |
| 3 | 2003 | 74 | |
| 4 | 2013 | 73 | |
| 5 | 2008 | 51 | |
| 6 | 2019 | 28 | |
| 7 | 2003 | 27 | |
| 8 | 2014 | 26 | |
| 9 | 2005 | 24 | |
| 10 | 2007 | 17 | |
| 11 | EuGene: an eucaryotic gene finder that combines several sources of evidence | 2000 | 13 |
| 12 | 2008 | 9 | |
| 13 | 2007 | 9 | |
| 14 | 2012 | 6 |
About Thomas Schiex
Thomas Schiex is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology and Artificial Intelligence, having authored 14 papers that have together received 535 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (7 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Chromosomal and Genetic Variations (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Plant Molecular Biology Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Plant Science (287 citations), Genetics (148 citations), Horticulture (4 citations), Molecular Biology (273 citations) and Insect Science (44 citations). Thomas Schiex has collaborated with scholars based in France, Morocco and Canada. Frequent co-authors include Jérôme Gouzy, Christine Gaspin, Sébastien Carrère, Erika Sallet, Sylvain Foissac, Pierre Rouzé, Claude Bruand, Laurent Sauviac, Fernanda de Carvalho‐Niebel and Pascal Gamas. Their work appears in journals such as BMC Bioinformatics, BMC Genomics, Bioinformatics, Mammalian Genome and Nucleic Acids Research.
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.