Héctor Sánchez‐Villeda
- Plant Science top 2%
- Genetics top 2%
- Molecular Biology
- Agronomy and Crop Science top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Steven SchroederMichael D. McMullenJesse PolandJessica RutkoskiYann ManèsJean‐Luc JanninkJosé CrossaShuangye Wu
- Topics
- Genetic Mapping and Diversity in Plants and Animals (11 papers)Chromosomal and Genetic Variations (5 papers)Genomics and Phylogenetic Studies (5 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- United StatesMexicoKenya
In The Last Decade
Héctor Sánchez‐Villeda
15 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Plant Science 1.0k
- Genetics 779
- Molecular Biology 287
- Agronomy and Crop Science 72
- Ecology, Evolution, Behavior and Systematics 31
Countries citing papers authored by Héctor Sánchez‐Villeda
This map shows the geographic impact of Héctor Sánchez‐Villeda'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 Héctor Sánchez‐Villeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héctor Sánchez‐Villeda more than expected).
Fields of papers citing papers by Héctor Sánchez‐Villeda
This network shows the impact of papers produced by Héctor Sánchez‐Villeda. 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 Héctor Sánchez‐Villeda. The network helps show where Héctor Sánchez‐Villeda may publish in the future.
Co-authorship network of co-authors of Héctor Sánchez‐Villeda
This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Sánchez‐Villeda. A scholar is included among the top collaborators of Héctor Sánchez‐Villeda 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 Héctor Sánchez‐Villeda. Héctor Sánchez‐Villeda 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 | Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencingbreakdown → | 507 |
| 3 | MAIZE AMINO ACID PATHWAYS MAINTAIN HIGH LEVELS OF GENETIC DIVERSITY | 7 |
| 4 | 191 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 34 | |
| 8 | 56 | |
| 9 | 185 | |
| 10 | 82 | |
| 11 | 25 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 56 | |
| 15 | 85 |
About Héctor Sánchez‐Villeda
Héctor Sánchez‐Villeda is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Chromosomal and Genetic Variations (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Plant Science (1.0k citations), Genetics (779 citations) and Horticulture (13 citations). Héctor Sánchez‐Villeda has collaborated with scholars based in United States, Mexico and Kenya. Frequent co-authors include Steven Schroeder, Michael D. McMullen, Jesse Poland, Jessica Rutkoski, Yann Manès, Jean‐Luc Jannink, José Crossa, Shuangye Wu, Susanne Dreisigacker and Mark E. Sorrells. Their work appears in journals such as Bioinformatics, The Plant Cell and PLANT PHYSIOLOGY.
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.