Maud I. Tenaillon
- Plant Science top 0.5%
- Genetics top 1%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Agronomy and Crop Science top 5%
- Co-authors
- Brandon S. GautJohn DoebleyMark SawkinsAnthony D. LongJeffrey Ross‐IbarraJesse D. HollisterAlain CharcossetEdward S. Buckler
- Topics
- Genetic Mapping and Diversity in Plants and Animals (27 papers)Genetic diversity and population structure (25 papers)Chromosomal and Genetic Variations (13 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- FranceUnited StatesMexico
In The Last Decade
Maud I. Tenaillon
50 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Plant Science 2.4k
- Genetics 1.7k
- Molecular Biology 966
- Ecology, Evolution, Behavior and Systematics 324
- Agronomy and Crop Science 126
Countries citing papers authored by Maud I. Tenaillon
This map shows the geographic impact of Maud I. Tenaillon'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 Maud I. Tenaillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud I. Tenaillon more than expected).
Fields of papers citing papers by Maud I. Tenaillon
This network shows the impact of papers produced by Maud I. Tenaillon. 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 Maud I. Tenaillon. The network helps show where Maud I. Tenaillon may publish in the future.
Co-authorship network of co-authors of Maud I. Tenaillon
This figure shows the co-authorship network connecting the top 25 collaborators of Maud I. Tenaillon. A scholar is included among the top collaborators of Maud I. Tenaillon 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 Maud I. Tenaillon. Maud I. Tenaillon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 6 | |
| 9 | 35 | |
| 10 | 52 | |
| 11 | 12 | |
| 12 | 32 | |
| 13 | 52 | |
| 14 | 84 | |
| 15 | 31 | |
| 16 | 15 | |
| 17 | 22 | |
| 18 | 13 | |
| 19 | 214 | |
| 20 | Patterns of DNA sequence polymorphism along chromosome 1 of maize ( Zea mays ssp. mays L.)breakdown → | 522 |
About Maud I. Tenaillon
Maud I. Tenaillon is a scholar working on Genetics, Horticulture and Plant Science, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (27 papers), Genetic diversity and population structure (25 papers) and Chromosomal and Genetic Variations (13 papers). The work is most often cited by research in Plant Science (2.4k citations), Genetics (1.7k citations) and Horticulture (32 citations). Maud I. Tenaillon has collaborated with scholars based in France, United States and Mexico. Frequent co-authors include Brandon S. Gaut, John Doebley, Brandon S. Gaut, Mark Sawkins, Anthony D. Long, Jeffrey Ross‐Ibarra, Jesse D. Hollister, Alain Charcosset, Edward S. Buckler and Sherry R. Whitt. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.
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.