William F. Tracy

3.1k total citations
105 papers, 1.9k citations indexed

About

William F. Tracy is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, William F. Tracy has authored 105 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Plant Science, 46 papers in Agronomy and Crop Science and 30 papers in Genetics. Recurrent topics in William F. Tracy's work include Crop Yield and Soil Fertility (43 papers), Genetics and Plant Breeding (37 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). William F. Tracy is often cited by papers focused on Crop Yield and Soil Fertility (43 papers), Genetics and Plant Breeding (37 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). William F. Tracy collaborates with scholars based in United States, Spain and Netherlands. William F. Tracy's co-authors include Pedro Revilla, Shawn M. Kaeppler, Charles Stuber, Jennifer L. Parke, Edward S. Buckler, Brian de Vries, John A. Juvik, Sherry R. Whitt, Natalia de León and Peter Balint‐Kurti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

William F. Tracy

101 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William F. Tracy United States 22 1.4k 492 427 260 153 105 1.9k
John Derera South Africa 24 1.5k 1.1× 425 0.9× 412 1.0× 170 0.7× 125 0.8× 145 1.8k
Rakesh K. Srivastava India 24 1.8k 1.3× 446 0.9× 156 0.4× 289 1.1× 237 1.5× 80 2.2k
J. V. Patil India 19 789 0.6× 331 0.7× 418 1.0× 120 0.5× 173 1.1× 103 1.3k
Festo Massawe Malaysia 27 1.7k 1.3× 196 0.4× 209 0.5× 235 0.9× 458 3.0× 83 2.4k
R. Kawuki Uganda 23 1.8k 1.3× 230 0.5× 117 0.3× 239 0.9× 98 0.6× 115 1.9k
Rakesh Kumar India 16 941 0.7× 173 0.4× 600 1.4× 145 0.6× 190 1.2× 220 1.8k
Hugo Campos Peru 18 1.2k 0.9× 263 0.5× 389 0.9× 254 1.0× 170 1.1× 46 1.6k
Gyanendra Pratap Singh India 34 3.3k 2.4× 640 1.3× 791 1.9× 547 2.1× 108 0.7× 320 3.9k
Yusuff Oladosu Malaysia 26 1.8k 1.3× 338 0.7× 158 0.4× 434 1.7× 144 0.9× 86 2.3k
Sean Mayes United Kingdom 33 2.4k 1.8× 621 1.3× 425 1.0× 584 2.2× 467 3.1× 147 3.6k

Countries citing papers authored by William F. Tracy

Since Specialization
Citations

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

Fields of papers citing papers by William F. Tracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William F. Tracy. 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 William F. Tracy. The network helps show where William F. Tracy may publish in the future.

Co-authorship network of co-authors of William F. Tracy

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

All Works

20 of 20 papers shown
1.
Tracy, William F., et al.. (2025). How to Monitor Growth and Identify Developmental Stages of Maize (Zea mays). Cold Spring Harbor Protocols.
2.
Boehlein, Susan K., Tracie A. Hennen‐Bierwagen, William F. Tracy, et al.. (2025). Interactions of separately conserved α-(1→6) glucosidases that participate in maize endosperm starch biosynthesis. PLANT PHYSIOLOGY. 199(2). 1 indexed citations
3.
Hennen‐Bierwagen, Tracie A., Martha G. James, Ugo Cenci, et al.. (2025). Noncatalytic functions of ISOAMYLASE 1 and 2 affect the proportion of insoluble and soluble α-polyglucans in maize. The Plant Cell. 37(10). 1 indexed citations
4.
5.
Tracy, William F., et al.. (2024). Data blanks by design: Intellectual property and restrictions on genetic diversity assessments of the maize standing crop in the USA Upper Midwest. Plants People Planet. 6(6). 1372–1380. 2 indexed citations
6.
Williams, Martin, et al.. (2023). First report of severe tolpyralate sensitivity in corn (Zea mays) discovers a novel genetic factor conferring crop response to a herbicide. Pest Management Science. 80(3). 1645–1653. 1 indexed citations
7.
Tracy, William F., et al.. (2022). How the Seed of Participatory Plant Breeding Found Its Way in the World through Adaptive Management. Sustainability. 14(4). 2132–2132. 7 indexed citations
8.
Tracy, William F., et al.. (2021). Engaging Farmer Stakeholders: Maize Producers’ Perceptions of and Strategies for Managing On-Farm Genetic Diversity in the Upper Midwest. Sustainability. 13(16). 8843–8843. 4 indexed citations
9.
Tracy, William F., et al.. (2021). Inbred and hybrid sweet corn genotype performance in diverse organic environments. Crop Science. 61(4). 2280–2293. 10 indexed citations
10.
Tracy, William F., et al.. (2021). Classical and genomic prediction of synthetic open‐pollinated sweet corn performance in organic environments. Crop Science. 61(5). 3382–3391. 4 indexed citations
11.
Revilla, Pedro, et al.. (2021). Sweet Corn Research around the World 2015–2020. Agronomy. 11(3). 534–534. 78 indexed citations
12.
Liu, Renjie, Susan K. Boehlein, William F. Tracy, Márcio F. R. Resende, & Gregory A. Hudalla. (2020). Characterizing the Physical Properties and Cell Compatibility of Phytoglycogen Extracted from Different Sweet Corn Varieties. Molecules. 25(3). 637–637. 10 indexed citations
13.
Tracy, William F., et al.. (2020). Survey of organic sweet corn growers identifies corn earworm prevalence, management and opportunities for plant breeding. Renewable Agriculture and Food Systems. 36(2). 126–129. 4 indexed citations
14.
Baseggio, Matheus, Maria Magallanes‐Lundback, Nicholas Kaczmar, et al.. (2020). Natural variation for carotenoids in fresh kernels is controlled by uncommon variants in sweet corn. The Plant Genome. 13(1). e20008–e20008. 35 indexed citations
15.
Tracy, William F., et al.. (2019). Adaptability analysis in a participatory variety trial of organic vegetable crops. Renewable Agriculture and Food Systems. 35(3). 296–312. 17 indexed citations
16.
Olukolu, Bode A., Yang Bian, Brian de Vries, et al.. (2016). The Genetics of Leaf Flecking in Maize and Its Relationship to Plant Defense and Disease Resistance. PLANT PHYSIOLOGY. 172(3). 1787–1803. 19 indexed citations
17.
Tracy, William F., et al.. (2013). Combining Ability and Acceptability of Temperate Sweet Corn Inbreds Derived from Exotic Germplasm. Journal of the American Society for Horticultural Science. 138(6). 461–469. 1 indexed citations
18.
Tracy, William F., et al.. (2007). IDENTIFICATION OF GENOMIC REGIONS AFFECTING VEGETATIVE PHASE CHANGE IN A SWEET CORN (Zea mays L.) POPULATION 1. Maydica. 52(4). 407–414. 2 indexed citations
19.
Tracy, William F., et al.. (2001). Low phytic acid1-1 does not affect sugar metabolism in sugary1 kernels. Maydica. 46(1). 11–19. 4 indexed citations
20.
Revilla, Pedro, et al.. (1996). Vegetative phase change in sweet corn populations: Genetics and relationship with agronomic traits (vegetative phase change in open-pollinated sweet corn). Maydica. 41(2). 77–82. 13 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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