Shawn P. Conley

4.9k total citations
157 papers, 3.2k citations indexed

About

Shawn P. Conley is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Shawn P. Conley has authored 157 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Plant Science, 66 papers in Agronomy and Crop Science and 16 papers in Soil Science. Recurrent topics in Shawn P. Conley's work include Soybean genetics and cultivation (86 papers), Legume Nitrogen Fixing Symbiosis (60 papers) and Agronomic Practices and Intercropping Systems (47 papers). Shawn P. Conley is often cited by papers focused on Soybean genetics and cultivation (86 papers), Legume Nitrogen Fixing Symbiosis (60 papers) and Agronomic Practices and Intercropping Systems (47 papers). Shawn P. Conley collaborates with scholars based in United States, Costa Rica and Canada. Shawn P. Conley's co-authors include Spyridon Mourtzinis, Adam P. Gaspar, Seth L. Naeve, Paul D. Esker, James E. Specht, David A. Marburger, Patricio Grassini, Juan I. Rattalino Edreira, John Gaska and Judith B. Santini and has published in prestigious journals such as Science, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Shawn P. Conley

148 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn P. Conley United States 31 2.6k 1.0k 479 409 255 157 3.2k
John Spink United Kingdom 27 2.1k 0.8× 1.3k 1.2× 345 0.7× 318 0.8× 196 0.8× 74 2.6k
John Cardina United States 31 3.0k 1.2× 1.3k 1.2× 532 1.1× 566 1.4× 480 1.9× 108 3.7k
I. J. Bingham United Kingdom 23 1.9k 0.7× 630 0.6× 710 1.5× 210 0.5× 207 0.8× 53 2.5k
Yves Prin France 31 2.3k 0.9× 538 0.5× 294 0.6× 279 0.7× 454 1.8× 116 2.9k
Robin Duponnois France 35 3.0k 1.2× 288 0.3× 389 0.8× 348 0.9× 286 1.1× 186 3.5k
Joel K. Ransom United States 31 2.0k 0.8× 1.1k 1.1× 316 0.7× 249 0.6× 107 0.4× 101 2.5k
Nathalie Colbach France 36 3.1k 1.2× 1.2k 1.2× 427 0.9× 714 1.7× 207 0.8× 150 3.7k
Khawar Jabran Türkiye 33 3.1k 1.2× 943 0.9× 665 1.4× 305 0.7× 146 0.6× 104 3.8k
William E. May Canada 32 1.7k 0.7× 1.2k 1.2× 836 1.7× 153 0.4× 274 1.1× 119 2.6k
Arun Kumar Joshi India 46 5.8k 2.3× 1.3k 1.3× 681 1.4× 365 0.9× 97 0.4× 198 6.3k

Countries citing papers authored by Shawn P. Conley

Since Specialization
Citations

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

Fields of papers citing papers by Shawn P. Conley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn P. Conley. 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 Shawn P. Conley. The network helps show where Shawn P. Conley may publish in the future.

Co-authorship network of co-authors of Shawn P. Conley

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn P. Conley. A scholar is included among the top collaborators of Shawn P. Conley 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 Shawn P. Conley. Shawn P. Conley 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.
DiFonzo, Christina, David A. Hennessy, Jinhua Zhao, et al.. (2025). Too much of a good thing: Lessons from compromised rootworm Bt maize in the US Corn Belt. Science. 387(6737). 984–989. 6 indexed citations
3.
Lindsey, Laura E., Shaun N. Casteel, Hans Kandel, et al.. (2025). Low soybean plant population: Is replanting necessary?. Crop Forage & Turfgrass Management. 11(1). 1 indexed citations
5.
Lindsey, Laura E., Nicolás Cafaro La Menza, Mark A. Licht, et al.. (2025). Harvest aid applied at soybean growth stage R7 rarely impacted seed, protein, or oil yield. Agronomy Journal. 117(4). 1 indexed citations
6.
Arneson, Nicholas J., et al.. (2024). Elucidating waterhemp (Amaranthus tuberculatus) suppression from cereal rye cover crop biomass. Weed Science. 72(3). 284–295. 4 indexed citations
7.
Gaska, John, et al.. (2024). Planting date and maturity groups effects on soybean yield in Wisconsin. Crop Forage & Turfgrass Management. 10(2).
8.
Tenorio, Fatima A., Juan I. Rattalino Edreira, Juan Pablo Monzón, et al.. (2024). Filling the agronomic data gap through a minimum data collection approach. Field Crops Research. 308. 109278–109278. 4 indexed citations
9.
Correndo, Adrián A., Trevor J. Hefley, P. V. Vara Prasad, et al.. (2024). Assessing the influence of environmental drivers on soybean seed yield and nitrogen fixation estimates and uncertainties in the United States. European Journal of Agronomy. 162. 127428–127428. 4 indexed citations
10.
Arneson, Nicholas J., et al.. (2023). Planting into a living cover crop alters preemergence herbicide dynamics and can reduce soybean yield. Weed Technology. 37(3). 226–235. 8 indexed citations
11.
Mourtzinis, Spyridon & Shawn P. Conley. (2023). Corn and soybean planting order decisions impact farm gross revenue. Crop Forage & Turfgrass Management. 9(2). 2 indexed citations
12.
Correndo, Adrián A., Jeremy Ross, Mark A. Licht, et al.. (2023). Soybean yield response to nitrogen and sulfur fertilization in the United States: contribution of soil N and N fixation processes. European Journal of Agronomy. 145. 126791–126791. 9 indexed citations
13.
Oliveira, Maxwel C., et al.. (2022). Dose–response screening of industrial hemp to herbicides commonly used in corn and soybean. Weed Technology. 36(2). 245–252. 11 indexed citations
14.
Shao, Dandan, Ashish Ranjan, Steven A. Whitham, et al.. (2021). Host-Induced Gene Silencing of a Sclerotinia sclerotiorum oxaloacetate acetylhydrolase Using Bean Pod Mottle Virus as a Vehicle Reduces Disease on Soybean. Frontiers in Plant Science. 12. 677631–677631. 26 indexed citations
15.
Conley, Shawn P., et al.. (2021). Influence of integrated agronomic and weed management practices on soybean canopy development and yield. Weed Technology. 36(1). 73–78. 14 indexed citations
16.
Oliveira, Maxwel C., et al.. (2020). Spray solution pH and soybean injury as influenced by synthetic auxin formulation and spray additives. Weed Technology. 35(1). 113–127. 20 indexed citations
17.
Bish, Mandy, et al.. (2019). Herbicide programs for the termination of grass and broadleaf cover crop species. Weed Technology. 34(1). 1–10. 15 indexed citations
18.
Mourtzinis, Spyridon, et al.. (2019). Effect of Strip-Till Timing, Fertilizer Placement, and Row Spacing on Soybean Seed Yield. Crop Forage & Turfgrass Management. 5(1). 190040–190040. 2 indexed citations
19.
Edreira, Juan I. Rattalino, Spyridon Mourtzinis, George Azzari, et al.. (2019). From sunlight to seed: Assessing limits to solar radiation capture and conversion in agro-ecosystems. Agricultural and Forest Meteorology. 280. 107775–107775. 16 indexed citations
20.
Conley, Shawn P., et al.. (2005). Grain Sorghum Response to Row Spacing, Plant Density, and Planter Skips. Crop Management. 4(1). 1–8. 23 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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