James J. Kells

2.8k total citations
91 papers, 2.4k citations indexed

About

James J. Kells is a scholar working on Plant Science, Pollution and Agronomy and Crop Science. According to data from OpenAlex, James J. Kells has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Plant Science, 44 papers in Pollution and 31 papers in Agronomy and Crop Science. Recurrent topics in James J. Kells's work include Weed Control and Herbicide Applications (79 papers), Pesticide and Herbicide Environmental Studies (44 papers) and Agronomic Practices and Intercropping Systems (19 papers). James J. Kells is often cited by papers focused on Weed Control and Herbicide Applications (79 papers), Pesticide and Herbicide Environmental Studies (44 papers) and Agronomic Practices and Intercropping Systems (19 papers). James J. Kells collaborates with scholars based in United States, Canada and Russia. James J. Kells's co-authors include Donald Penner, Brent E. Tharp, Oliver Schabenberger, Karen A. Renner, Caleb D. Dalley, W. F. Meggitt, R. G. Harvey, O. B. Hesterman, Christy L. Sprague and Philip Westra and has published in prestigious journals such as Crop Science, Agronomy Journal and Crop Protection.

In The Last Decade

James J. Kells

90 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Kells United States 27 2.1k 923 733 301 199 91 2.4k
Lawrence R. Oliver United States 30 2.6k 1.2× 764 0.8× 732 1.0× 194 0.6× 247 1.2× 104 2.8k
David E. Stoltenberg United States 24 1.5k 0.7× 462 0.5× 663 0.9× 272 0.9× 178 0.9× 83 1.8k
Allan S. Hamill Canada 24 1.4k 0.7× 492 0.5× 621 0.8× 317 1.1× 116 0.6× 77 1.7k
Michael Barrett United States 20 1.7k 0.8× 895 1.0× 399 0.5× 114 0.4× 151 0.8× 57 1.9k
Ronald E. Talbert United States 32 2.3k 1.1× 920 1.0× 428 0.6× 288 1.0× 196 1.0× 120 2.6k
John D. Nalewaja United States 26 1.7k 0.8× 808 0.9× 355 0.5× 134 0.4× 216 1.1× 138 1.9k
Bryan G. Young United States 30 2.7k 1.3× 1.2k 1.3× 571 0.8× 181 0.6× 191 1.0× 152 2.9k
Clifford H. Koger United States 24 1.6k 0.8× 766 0.8× 243 0.3× 228 0.8× 138 0.7× 54 1.8k
Alan C. York United States 30 3.4k 1.6× 1.5k 1.6× 681 0.9× 225 0.7× 163 0.8× 160 3.6k
Loyd M. Wax United States 39 3.8k 1.8× 1.3k 1.4× 824 1.1× 320 1.1× 324 1.6× 124 4.2k

Countries citing papers authored by James J. Kells

Since Specialization
Citations

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

Fields of papers citing papers by James J. Kells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Kells. 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 James J. Kells. The network helps show where James J. Kells may publish in the future.

Co-authorship network of co-authors of James J. Kells

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Kells. A scholar is included among the top collaborators of James J. Kells 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 James J. Kells. James J. Kells 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.
Young, Stephen L., James J. Kells, & Vijay K. Nandula. (2023). Federal agency perspectives and funding opportunities for weed and invasive plant research. Weed Science. 71(4). 328–329.
2.
Min, Doohong, et al.. (2012). Glyphosate-Resistant Alfalfa Response to Harvest Frequency and Weed Management. Weed Technology. 26(3). 399–404. 1 indexed citations
3.
Dalley, Caleb D., Mark L. Bernards, & James J. Kells. (2006). Effect of Weed Removal Timing and Row Spacing on Soil Moisture in Corn (Zea mays). Weed Technology. 20(2). 399–409. 51 indexed citations
4.
Kells, James J., et al.. (2006). Weed Response to Mesotrione and Atrazine Applied Alone and in Combination Preemergence. Weed Technology. 20(4). 903–907. 25 indexed citations
5.
Johnson, William G., David A. Mortensen, Alex Martin, et al.. (2005). Evaluation of Corn (Zea mays L.) Yield-loss Estimations by WeedSOFT® in the North Central Region1. Weed Technology. 19(4). 1056–1064. 6 indexed citations
6.
Dalley, Caleb D., James J. Kells, & Karen A. Renner. (2004). Effect of Glyphosate Application Timing and Row Spacing on Weed Growth in Corn (Zea mays) and Soybean (Glycine max)1. Weed Technology. 18(1). 177–182. 55 indexed citations
7.
Fischer, David W., R. G. Harvey, Thomas T. Bauman, et al.. (2004). Common lambsquarters (Chenopodium album) interference with corn across the northcentral United States. Weed Science. 52(6). 1034–1038. 22 indexed citations
8.
Kells, James J., et al.. (2004). Triazine-Resistant Common Lambsquarters (Chenopodium album) Control in Corn with Preemergence Herbicides. Weed Technology. 18(3). 551–554. 30 indexed citations
9.
Tharp, Brent E. & James J. Kells. (2002). Residual Herbicides used in Combination with Glyphosate and Glufosinate in Corn (Zea mays)1. Weed Technology. 16(2). 274–281. 44 indexed citations
10.
Schabenberger, Oliver, Brent E. Tharp, James J. Kells, & Donald Penner. (1999). Statistical Tests for Hormesis and Effective Dosages in Herbicide Dose Response. Agronomy Journal. 91(4). 713–721. 197 indexed citations
11.
Renner, Karen A., Scott M. Swinton, & James J. Kells. (1999). Adaptation and evaluation of the WEEDSIM weed management model for Michigan. Weed Science. 47(3). 338–348. 18 indexed citations
12.
Kells, James J., et al.. (1999). Weed Invasion in New Stands of Alfalfa Seeded with Perennial Forage Grasses and an Oat Companion Crop. Crop Science. 39(4). 1120–1124. 18 indexed citations
13.
Sprague, Christy L., Donald Penner, & James J. Kells. (1999). Weed control andZea maystolerance as affected by timing of RP-201772 application. Weed Science. 47(4). 375–382. 11 indexed citations
14.
Kells, James J., et al.. (1998). Effect of Soil-Applied Atrazine and Pendimethalin on Velvetleaf (Abutilon theophrasti) Competitiveness in Corn. Weed Technology. 12(1). 47–52. 20 indexed citations
15.
Kells, James J., et al.. (1997). Wild Carrot (Daucus carota) Control in No-Tillage Cropping Systems. Weed Technology. 11(3). 444–452. 10 indexed citations
16.
Penner, Donald, et al.. (1997). Physiological basis for nicosulfuron and primisulfuron selectivity in five plant species. Weed Science. 45(1). 22–30. 52 indexed citations
17.
Kells, James J., et al.. (1997). Giant foxtail (Setaria faberi) interference in nonirrigated corn (Zea mays). Weed Science. 45(2). 256–260. 37 indexed citations
18.
Renner, Karen A., et al.. (1995). Sugarbeet (Beta vulgaris) Response to and Sorption Characteristics of Nicosulfuron and Primisulfuron. Weed Technology. 9(3). 484–489. 7 indexed citations
19.
Kells, James J., et al.. (1995). Timing of Total Postemergence Herbicide Applications to Maximize Weed Control and Corn (Zea mays)Yield. Weed Technology. 9(2). 356–361. 60 indexed citations
20.
Zollinger, Richard K. & James J. Kells. (1993). Perennial Sowthistle (Sonchus arvensis) Interference in Soybean (Glycine max) and Dry Edible Bean (Phaseolus vulgaris). Weed Technology. 7(1). 52–57. 14 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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