William L. Patzoldt

1.6k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

William L. Patzoldt is a scholar working on Plant Science, Pollution and Molecular Biology. According to data from OpenAlex, William L. Patzoldt has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Pollution and 8 papers in Molecular Biology. Recurrent topics in William L. Patzoldt's work include Weed Control and Herbicide Applications (12 papers), Pesticide and Herbicide Environmental Studies (9 papers) and Plant tissue culture and regeneration (6 papers). William L. Patzoldt is often cited by papers focused on Weed Control and Herbicide Applications (12 papers), Pesticide and Herbicide Environmental Studies (9 papers) and Plant tissue culture and regeneration (6 papers). William L. Patzoldt collaborates with scholars based in United States, Mexico and Australia. William L. Patzoldt's co-authors include Patrick J. Tranel, Aaron G. Hager, R. Douglas Sammons, Philip Westra, Stephen T. Chisholm, Todd A. Gaines, Jiming Jiang, Theodore M. Webster, Scott J. Nissen and Wenli Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Pest Management Science.

In The Last Decade

William L. Patzoldt

15 papers receiving 1.2k 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.

Gene amplification confers glyphosate resistance in Amaranthus palmeri

2009 511 citations Todd A. Gaines, Wenli Zhang et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William L. Patzoldt United States	12	1.1k	594	523	93	69	15	1.2k
Laura Scarabel Italy	19	811 0.7×	327 0.6×	389 0.7×	100 1.1×	72 1.0×	46	919
Sarah Morran United States	10	1.1k 1.0×	569 1.0×	332 0.6×	75 0.8×	41 0.6×	22	1.2k
Ian A. Zelaya United States	11	820 0.7×	322 0.5×	398 0.8×	114 1.2×	48 0.7×	17	880
Akira Uchino Japan	16	955 0.8×	410 0.7×	491 0.9×	52 0.6×	119 1.7×	56	1.0k
Bernal E. Valverde Costa Rica	18	786 0.7×	264 0.4×	263 0.5×	72 0.8×	59 0.9×	53	904
Lyle F. Friesen Canada	15	787 0.7×	318 0.5×	186 0.4×	157 1.7×	62 0.9×	26	827
Demosthenis Chachalis Greece	17	911 0.8×	174 0.3×	231 0.4×	101 1.1×	61 0.9×	52	976
Aaron G. Hager United States	26	2.0k 1.7×	603 1.0×	995 1.9×	321 3.5×	97 1.4×	63	2.1k
Robert E. Nurse Canada	20	1.0k 0.9×	154 0.3×	455 0.9×	224 2.4×	95 1.4×	100	1.2k
Mechelle Owen Australia	22	1.3k 1.1×	339 0.6×	611 1.2×	344 3.7×	109 1.6×	29	1.4k

Countries citing papers authored by William L. Patzoldt

Since Specialization

Citations

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

Fields of papers citing papers by William L. Patzoldt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William L. Patzoldt

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

All Works

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15 of 15 papers shown

Norsworthy, Jason K., Bryan G. Young, Wesley J. Everman, et al.. (2025). Commercial sprayer efficiency for application success on targeted weeds. Weed Technology. 39. 1 indexed citations

Norsworthy, Jason K., et al.. (2024). Comparing herbicide application methods with See & Spray™ technology in soybean. Weed Technology. 38. 3 indexed citations

Gaines, Todd A., Wenli Zhang, Dafu Wang, et al.. (2009). Gene amplification confers glyphosate resistance in Amaranthus palmeri. Proceedings of the National Academy of Sciences. 107(3). 1029–1034. 511 indexed citations breakdown →

Zhu, Jin, William L. Patzoldt, Osman Radwan, Patrick J. Tranel, & Steven J. Clough. (2009). Effects of Photosystem‐II‐Interfering Herbicides Atrazine and Bentazon on the Soybean Transcriptome. The Plant Genome. 2(2). 64 indexed citations

Zhu, Jin, William L. Patzoldt, Robin T. Shealy, et al.. (2008). Transcriptome Response to Glyphosate in Sensitive and Resistant Soybean. Journal of Agricultural and Food Chemistry. 56(15). 6355–6363. 56 indexed citations

Patzoldt, William L., et al.. (2007). Responses of Contemporary and Historical Waterhemp (Amaranthus tuberculatus) Accessions to Glyphosate. Weed Science. 55(4). 327–333. 3 indexed citations

Patzoldt, William L. & Patrick J. Tranel. (2007). Multiple ALS Mutations Confer Herbicide Resistance in Waterhemp (Amaranthus tuberculatus). Weed Science. 55(5). 421–428. 67 indexed citations

Patzoldt, William L., et al.. (2006). A codon deletion confers resistance to herbicides inhibiting protoporphyrinogen oxidase. Proceedings of the National Academy of Sciences. 103(33). 12329–12334. 166 indexed citations

Patzoldt, William L., Patrick J. Tranel, & Aaron G. Hager. (2005). A waterhemp (Amaranthus tuberculatus) biotype with multiple resistance across three herbicide sites of action. Weed Science. 53(1). 30–36. 106 indexed citations

10.

Zheng, Danman, William L. Patzoldt, & Patrick J. Tranel. (2005). Association of the W574L ALS substitution with resistance to cloransulam and imazamox in common ragweed (Ambrosia artemisiifolia). Weed Science. 53(4). 424–430. 17 indexed citations

11.

Tranel, Patrick J., et al.. (2004). Intraspecific variability of the acetolactate synthase gene. Weed Science. 52(2). 236–241. 26 indexed citations

12.

Patzoldt, William L., Bradley S. Dixon, & Patrick J. Tranel. (2003). Triazine resistance in Amaranthus tuberculatus (Moq) Sauer that is not site‐of‐action mediated. Pest Management Science. 59(10). 1134–1142. 40 indexed citations

13.

Patzoldt, William L., Patrick J. Tranel, & Aaron G. Hager. (2002). Variable herbicide responses among Illinois waterhemp (Amaranthus rudis and A. tuberculatus) populations. Crop Protection. 21(9). 707–712. 77 indexed citations

14.

Patzoldt, William L. & Patrick J. Tranel. (2002). Molecular analysis of cloransulam resistance in a population of giant ragweed. Weed Science. 50(3). 299–305. 53 indexed citations

15.

Patzoldt, William L., et al.. (2001). A common ragweed population resistant to cloransulam-methyl. Weed Science. 49(4). 485–490. 46 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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