Héctor Sánchez‐Villeda

2.0k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Héctor Sánchez‐Villeda is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Héctor Sánchez‐Villeda has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 11 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Héctor Sánchez‐Villeda's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genomics and Phylogenetic Studies (5 papers) and Wheat and Barley Genetics and Pathology (5 papers). Héctor Sánchez‐Villeda is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Genomics and Phylogenetic Studies (5 papers) and Wheat and Barley Genetics and Pathology (5 papers). Héctor Sánchez‐Villeda collaborates with scholars based in United States, Mexico and Kenya. Héctor Sánchez‐Villeda's co-authors include Steven Schroeder, Michael D. McMullen, Jessica Rutkoski, Julie C. Dawson, José Crossa, Jean‐Luc Jannink, Jesse Poland, Jeffrey B. Endelman, Yann Manès and Mark E. Sorrells and has published in prestigious journals such as Bioinformatics, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Héctor Sánchez‐Villeda

15 papers receiving 1.2k citations

Hit Papers

Genomic Selection in Whea... 2012 2026 2016 2021 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencing
    2012 507 citations Jesse Poland, Jeffrey B. Endelman et al. The Plant Genome profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Héctor Sánchez‐Villeda United States 11 1.0k 779 287 72 31 15 1.3k
Qijun Weng China 5 945 0.9× 627 0.8× 372 1.3× 44 0.6× 37 1.2× 5 1.2k
Tobias A. Schrag Germany 21 1.3k 1.2× 1.1k 1.4× 187 0.7× 92 1.3× 19 0.6× 27 1.4k
Grit Haseneyer Germany 13 1.1k 1.0× 498 0.6× 251 0.9× 113 1.6× 52 1.7× 15 1.1k
Ahong Wang China 11 1.2k 1.1× 870 1.1× 355 1.2× 100 1.4× 23 0.7× 14 1.4k
Timothy Beissinger United States 16 747 0.7× 650 0.8× 260 0.9× 75 1.0× 33 1.1× 31 1.1k
Ruth A. Swanson-Wagner United States 9 1.1k 1.0× 659 0.8× 531 1.9× 41 0.6× 29 0.9× 9 1.3k
Jiabo Wang China 12 872 0.8× 591 0.8× 251 0.9× 103 1.4× 38 1.2× 37 1.2k
Mei Guo United States 13 1.3k 1.2× 666 0.9× 680 2.4× 69 1.0× 70 2.3× 21 1.5k
Alfonso Cuesta‐Marcos United States 19 1.2k 1.1× 607 0.8× 215 0.7× 186 2.6× 33 1.1× 37 1.3k
Eli Rodgers‐Melnick United States 10 845 0.8× 496 0.6× 546 1.9× 90 1.3× 51 1.6× 11 1.2k

Countries citing papers authored by Héctor Sánchez‐Villeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

15 of 15 papers shown
1.
Vargas, Mateo, Gregorio Alvarado, Diego Jarquín, et al.. (2013). IBFIELDBOOK, AN INTEGRATED BREEDING FIELD BOOK FOR PLANT BREEDING. Revista Fitotecnia Mexicana. 36(3). 201–201. 2 indexed citations
2.
Poland, Jesse, Jeffrey B. Endelman, Julie C. Dawson, et al.. (2012). Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencing. The Plant Genome. 5(3). 507 indexed citations breakdown →
3.
Flint-García, Sherry, Katherine E. Guill, Héctor Sánchez‐Villeda, Steven Schroeder, & Michael D. McMullen. (2009). MAIZE AMINO ACID PATHWAYS MAINTAIN HIGH LEVELS OF GENETIC DIVERSITY. Maydica. 54(4). 375–386. 7 indexed citations
4.
Yan, Jianbing, Xiaohong Yang, Trushar Shah, et al.. (2009). High-throughput SNP genotyping with the GoldenGate assay in maize. Molecular Breeding. 25(3). 441–451. 191 indexed citations
5.
Yamasaki, Masanori, Steven Schroeder, Héctor Sánchez‐Villeda, Brandon S. Gaut, & Michael D. McMullen. (2008). Empirical Analysis of Selection Screens for Domestication and Improvement Loci in Maize by Extended DNA Sequencing. The Plant Genome. 1(1). 4 indexed citations
6.
Sánchez‐Villeda, Héctor, Steven Schroeder, Sherry Flint-García, et al.. (2008). DNAAlignEditor: DNA alignment editor tool. BMC Bioinformatics. 9(1). 154–154. 13 indexed citations
7.
Yim, Young‐Sun, Héctor Sánchez‐Villeda, Theresa A. Musket, et al.. (2007). A BAC pooling strategy combined with PCR-based screenings in a large, highly repetitive genome enables integration of the maize genetic and physical maps. BMC Genomics. 8(1). 47–47. 34 indexed citations
8.
Bi, I. Vroh, Michael D. McMullen, Héctor Sánchez‐Villeda, et al.. (2005). Single Nucleotide Polymorphisms and Insertion–Deletions for Genetic Markers and Anchoring the Maize Fingerprint Contig Physical Map. Crop Science. 46(1). 12–21. 56 indexed citations
9.
Yamasaki, Masanori, Maud I. Tenaillon, I. Vroh Bi, et al.. (2005). A Large-Scale Screen for Artificial Selection in Maize Identifies Candidate Agronomic Loci for Domestication and Crop Improvement. The Plant Cell. 17(11). 2859–2872. 185 indexed citations
10.
Gardiner, Jack M., Steven Schroeder, Mary L. Polacco, et al.. (2004). Anchoring 9,371 Maize Expressed Sequence Tagged Unigenes to the Bacterial Artificial Chromosome Contig Map by Two-Dimensional Overgo Hybridization. PLANT PHYSIOLOGY. 134(4). 1317–1326. 82 indexed citations
11.
Fang, Zhiwei, Karen C. Cone, Héctor Sánchez‐Villeda, et al.. (2003). iMap: a database-driven utility to integrate and access the genetic and physical maps of maize. Bioinformatics. 19(16). 2105–2111. 7 indexed citations
12.
Sánchez‐Villeda, Héctor, Steven Schroeder, Mary L. Polacco, et al.. (2003). Development of an integrated laboratory information management system for the maize mapping project. Bioinformatics. 19(16). 2022–2030. 25 indexed citations
13.
Polacco, Mary L., et al.. (2002). MaizeDB – a functional genomics perspective. Comparative and Functional Genomics. 3(2). 128–131. 10 indexed citations
14.
Coe, Edward H., Karen C. Cone, Michael D. McMullen, et al.. (2002). Access to the Maize Genome: An Integrated Physical and Genetic Map. PLANT PHYSIOLOGY. 128(1). 9–12. 56 indexed citations
15.
Cone, Karen C., Michael D. McMullen, I. Vroh Bi, et al.. (2002). Genetic, Physical, and Informatics Resources for Maize. On the Road to an Integrated Map. PLANT PHYSIOLOGY. 130(4). 1598–1605. 85 indexed citations

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.

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