Sherry Flint-García

11.6k total citations · 4 hit papers
79 papers, 5.8k citations indexed

About

Sherry Flint-García is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Sherry Flint-García has authored 79 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 48 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in Sherry Flint-García's work include Genetic Mapping and Diversity in Plants and Animals (48 papers), Genetics and Plant Breeding (39 papers) and Genetic and phenotypic traits in livestock (17 papers). Sherry Flint-García is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (48 papers), Genetics and Plant Breeding (39 papers) and Genetic and phenotypic traits in livestock (17 papers). Sherry Flint-García collaborates with scholars based in United States, Mexico and Germany. Sherry Flint-García's co-authors include Edward S. Buckler, Michael D. McMullen, James B. Holland, Peter J. Bradbury, Feng Tian, Torbert Rocheford, Sharon E. Mitchell, Patrick J. Brown, John Doebley and M. M. Goodman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Sherry Flint-García

74 papers receiving 5.7k citations

Hit Papers

align trajectories

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.

Structure of Linkage Disequilibrium in Plants

2003 1.2k citations Sherry Flint-García, Edward S. Buckler et al. profile →
Genome-wide association study of leaf architecture in the maize nested association mapping population

2011 779 citations Feng Tian, Peter J. Bradbury et al. profile →
Maize association population: a high‐resolution platform for quantitative trait locus dissection

2005 705 citations Sherry Flint-García, Jianming Yu et al. profile →
Comprehensive genotyping of the USA national maize inbred seed bank

2013 395 citations Sherry Flint-García, Michael D. McMullen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sherry Flint-García United States	28	4.9k	3.6k	1.0k	730	205	79	5.8k
Gaël Pressoir United States	11	3.5k 0.7×	2.9k 0.8×	699 0.7×	436 0.6×	143 0.7×	16	4.6k
Yuming Wei China	39	4.9k 1.0×	1.6k 0.4×	1.1k 1.0×	646 0.9×	154 0.8×	335	5.5k
Gary J. Muehlbauer United States	56	7.9k 1.6×	2.3k 0.6×	2.1k 2.0×	490 0.7×	166 0.8×	157	8.5k
Shiaoman Chao United States	52	8.1k 1.6×	3.7k 1.0×	1.4k 1.3×	908 1.2×	86 0.4×	192	8.5k
Tobias Würschum Germany	44	5.4k 1.1×	3.1k 0.9×	802 0.8×	833 1.1×	203 1.0×	166	6.0k
Kaworu Ebana Japan	37	5.3k 1.1×	3.1k 0.9×	1.6k 1.5×	207 0.3×	155 0.8×	78	5.9k
Xuehui Huang China	34	4.6k 0.9×	2.5k 0.7×	2.1k 2.1×	201 0.3×	144 0.7×	83	5.7k
Patricia E. Klein United States	39	4.8k 1.0×	2.3k 0.6×	1.5k 1.4×	1.9k 2.6×	156 0.8×	119	6.1k
Diane E. Mather Australia	38	3.5k 0.7×	1.2k 0.3×	548 0.5×	708 1.0×	138 0.7×	132	4.0k
Qijian Song United States	49	9.6k 2.0×	1.8k 0.5×	1.4k 1.3×	623 0.9×	178 0.9×	193	10.2k

Countries citing papers authored by Sherry Flint-García

Since Specialization

Citations

This map shows the geographic impact of Sherry Flint-García'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 Sherry Flint-García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherry Flint-García more than expected).

Fields of papers citing papers by Sherry Flint-García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sherry Flint-García. 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 Sherry Flint-García. The network helps show where Sherry Flint-García may publish in the future.

Co-authorship network of co-authors of Sherry Flint-García

This figure shows the co-authorship network connecting the top 25 collaborators of Sherry Flint-García. A scholar is included among the top collaborators of Sherry Flint-García 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 Sherry Flint-García. Sherry Flint-García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ali, Ahmad, Sherry Flint-García, Ravinder Kumar, et al.. (2025). Phytochemical characterization of eighteen colored corn varieties and coproducts from the 2022 season of the Missouri colored corn adaptation program. Industrial Crops and Products. 227. 120772–120772.

Tracy, William F., et al.. (2025). How to Monitor Growth and Identify Developmental Stages of Maize (Zea mays). Cold Spring Harbor Protocols.

Vardhanabhuti, Bongkosh, et al.. (2024). Development of a novel, small scale cold screw press protocol for rapid soybean processing and coproduct evaluation. Food and Bioproducts Processing. 146. 89–102.

Kumar, Ravinder, et al.. (2024). Evaluation of dry milling characteristics and polyphenolic contents of fourteen conventionally bred colored corn varieties for value-added coproducts recovery. Industrial Crops and Products. 215. 118600–118600. 4 indexed citations

Kumar, Ravinder, Sherry Flint-García, Marc Vidal, et al.. (2024). Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction. Antioxidants. 14(1). 9–9. 6 indexed citations

Wallace, Jason G., James C. Schnable, Judith M. Kolkman, et al.. (2023). Yield prediction through integration of genetic, environment, and management data through deep learning. G3 Genes Genomes Genetics. 13(4). 26 indexed citations

Flint-García, Sherry, Mitchell J. Feldmann, Hannes Dempewolf, Peter L. Morrell, & Jeffrey Ross‐Ibarra. (2023). Diamonds in the not-so-rough: Wild relative diversity hidden in crop genomes. PLoS Biology. 21(7). e3002235–e3002235. 7 indexed citations

Wiesinger, Jason A., et al.. (2023). Iron bioavailability of maize (Zea mays L.) after removing the germ fraction. Frontiers in Plant Science. 14. 1114760–1114760. 3 indexed citations

Boateng, Isaac Duah, Christopher R. Daubert, Ravinder Kumar, et al.. (2023). From purple corn waste (pericarp) to polyphenol-rich extract with higher bioactive contents and superior product qualities using two-step optimization techniques. Industrial Crops and Products. 200. 116871–116871. 19 indexed citations

10.

Janzen, Garrett M., Anthony J. Studer, Daniel E. Runcie, et al.. (2022). Demonstration of local adaptation in maize landraces by reciprocal transplantation. Evolutionary Applications. 15(5). 817–837. 15 indexed citations

11.

Hu, Haixiao, Matthew B. Hufford, Sherry Flint-García, et al.. (2022). Allele-specific Expression Reveals Multiple Paths to Highland Adaptation in Maize. Molecular Biology and Evolution. 39(11). 10 indexed citations

12.

Li, Meng, Denise E. Costich, Jorge Nieto‐Sotelo, et al.. (2022). A B73×Palomero Toluqueño mapping population reveals local adaptation in Mexican highland maize. G3 Genes Genomes Genetics. 12(3). 7 indexed citations

13.

Gilbert, Amanda M., Mark Robert Holmes, Nickolas Anderson, et al.. (2021). Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy. Theoretical and Applied Genetics. 134(11). 3743–3757. 5 indexed citations

14.

Volk, Gayle M., Patrick F. Byrne, Clarice J. Coyne, et al.. (2021). Integrating Genomic and Phenomic Approaches to Support Plant Genetic Resources Conservation and Use. Plants. 10(11). 2260–2260. 20 indexed citations

15.

Xue, Wei, Sarah N. Anderson, Xufeng Wang, et al.. (2019). Hybrid Decay: A Transgenerational Epigenetic Decline in Vigor and Viability Triggered in Backcross Populations of Teosinte with Maize. Genetics. 213(1). 143–160. 8 indexed citations

16.

Guo, Tingting, Xiaoqing Yu, Xianran Li, et al.. (2019). Optimal Designs for Genomic Selection in Hybrid Crops. Molecular Plant. 12(3). 390–401. 62 indexed citations

17.

Donald, P. A., Robert Heinz, Ernest C. Bernard, et al.. (2012). DISTRIBUTION, HOST STATUS AND POTENTIAL SOURCES OF RESISTANCE TO VITTATIDERA ZEAPHILA [DISTRIBUCIÓN, SUSCEPTIBILIDAD Y FUENTES POTENCIALES DE RESISTENCIA A VITTATIDERA ZEAPHILA]. Nematropica. 42(1). 91–95. 1 indexed citations

18.

Brown, Patrick J., Narasimham Upadyayula, Feng Tian, et al.. (2011). Distinct Genetic Architectures for Male and Female Inflorescence Traits of Maize. PLoS Genetics. 7(11). e1002383–e1002383. 181 indexed citations

19.

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

20.

Flint-García, Sherry, Anastasia Bodnar, & M. Paul Scott. (2009). Wide variability in kernel composition, seed characteristics, and zein profiles among diverse maize inbreds, landraces, and teosinte. Theoretical and Applied Genetics. 119(6). 1129–1142. 105 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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