Michael S. Cox

1.4k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Michael S. Cox is a scholar working on Plant Science, Soil Science and Environmental Chemistry. According to data from OpenAlex, Michael S. Cox has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 16 papers in Soil Science and 10 papers in Environmental Chemistry. Recurrent topics in Michael S. Cox's work include Soil Carbon and Nitrogen Dynamics (13 papers), Soil Geostatistics and Mapping (9 papers) and Soil and Water Nutrient Dynamics (6 papers). Michael S. Cox is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (13 papers), Soil Geostatistics and Mapping (9 papers) and Soil and Water Nutrient Dynamics (6 papers). Michael S. Cox collaborates with scholars based in United States, Russia and India. Michael S. Cox's co-authors include Patrick D. Gerard, John L. Kovar, J. Alex Thomasson, William L. Kingery, Paul F. Bell, Kejun Wen, Yadong Li, Peidong Su, J. L. Oldham and Fengxiang X. Han and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and American Journal of Public Health.

In The Last Decade

Michael S. Cox

38 papers receiving 988 citations

Hit Papers

Revisiting the role of sulfur in crop production: A narra... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Cox United States 18 411 298 217 173 162 40 1.1k
V. Steven Green United States 13 430 1.0× 631 2.1× 85 0.4× 163 0.9× 189 1.2× 20 1.2k
Anand Narain Singh India 18 302 0.7× 335 1.1× 108 0.5× 98 0.6× 187 1.2× 72 1.2k
Bianca N. Moebius‐Clune United States 15 271 0.7× 594 2.0× 225 1.0× 169 1.0× 121 0.7× 18 931
Lionel Alletto France 23 555 1.4× 621 2.1× 192 0.9× 119 0.7× 111 0.7× 53 1.4k
Laurent Thuriès France 18 287 0.7× 511 1.7× 105 0.5× 192 1.1× 171 1.1× 42 949
Raphael Bragança Alves Fernandes Brazil 19 359 0.9× 377 1.3× 111 0.5× 63 0.4× 180 1.1× 79 1.3k
Jac J. Varco United States 20 652 1.6× 479 1.6× 151 0.7× 191 1.1× 330 2.0× 69 1.2k
Edith Le Cadre France 15 763 1.9× 549 1.8× 65 0.3× 263 1.5× 162 1.0× 36 1.4k
Muhammad Amjad Bashir Pakistan 20 522 1.3× 246 0.8× 70 0.3× 74 0.4× 105 0.6× 68 1.1k
Xinmin Bian China 17 511 1.2× 491 1.6× 46 0.2× 111 0.6× 124 0.8× 38 1.1k

Countries citing papers authored by Michael S. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Cox. 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 Michael S. Cox. The network helps show where Michael S. Cox may publish in the future.

Co-authorship network of co-authors of Michael S. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Cox. A scholar is included among the top collaborators of Michael S. Cox 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 Michael S. Cox. Michael S. Cox 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
2.
Dhillon, Jagmandeep, et al.. (2024). Corn response to multiple rates of nitrogen and sulfur. Field Crops Research. 319. 109625–109625. 4 indexed citations
3.
Dhillon, Jagmandeep, Pushp Kumar, Raju Bheemanahalli, et al.. (2023). Climate trends and maize production nexus in Mississippi: empirical evidence from ARDL modelling. Scientific Reports. 13(1). 16641–16641. 10 indexed citations
4.
Dhillon, Jagmandeep, Pushp Kumar, Michael J. Mulvaney, et al.. (2023). Climate trends and soybean production since 1970 in Mississippi: Empirical evidence from ARDL model. The Science of The Total Environment. 905. 167046–167046. 11 indexed citations
5.
Kingery, William L., et al.. (2021). Impact of Cover Crops and Poultry Litter on Selected Soil Properties and Yield in Dryland Soybean Production. Agronomy. 11(1). 119–119. 26 indexed citations
6.
Su, Peidong, et al.. (2018). Adsorption-desorption and degradation of insecticides clothianidin and thiamethoxam in agricultural soils. Chemosphere. 207. 708–714. 94 indexed citations
7.
Kaur, Gurpreet, Bobby R. Golden, John M. Orlowski, et al.. (2018). Nitrogen Fertilization of Soybean Affects Root Growth and Nodulation on Two Soil Types in Mississippi. Communications in Soil Science and Plant Analysis. 49(2). 181–187. 25 indexed citations
8.
Wang, Rui, et al.. (2017). Cotton Fiber-Quality Prediction Based on Spatial Variability in Soils. ˜The œjournal of cotton science/Journal of cotton science. 21(3). 220–228. 3 indexed citations
9.
Walker, Timothy W., John M. Orlowski, L. Jason Krutz, et al.. (2016). Evaluation of Trinexapac‐Ethyl and Nitrogen Management to Minimize Lodging in Rice. Agronomy Journal. 108(6). 2365–2370. 17 indexed citations
10.
Walker, T. W., Dustin L. Harrell, L. Jason Krutz, et al.. (2012). Nitrogen Sources and Timing Effects on Nitrogen Loss and Uptake in Delayed Flood Rice. Agronomy Journal. 104(2). 466–472. 35 indexed citations
11.
Kingery, William L., et al.. (2010). Distribution and Dynamics of Phosphorus in an Agricultural Watershed with a Long-Term History of Poultry Waste Application. Communications in Soil Science and Plant Analysis. 41(17). 2057–2074.
12.
Cox, Michael S., et al.. (2010). Phosphorus Dynamics in Two Poultry-Litter Amended Soils of Mississippi Under Three Management Systems. Pedosphere. 20(2). 217–228. 2 indexed citations
13.
Cox, Michael S. & Patrick D. Gerard. (2009). Changes in yield classification in a soybean-rice rotation. Precision Agriculture. 11(5). 507–519. 5 indexed citations
14.
Walker, Timothy W., William L. Kingery, Joe E. Street, et al.. (2007). Soil Chemical Properties and Rice Yield Response to Nitrogen Rate and Timing After Precision Leveling. Crop Management. 6(1). 1–7. 1 indexed citations
15.
Han, Fengxiang X., William L. Kingery, H. M. Selim, et al.. (2003). Arsenic solubility and distribution in poultry waste and long-term amended soil. The Science of The Total Environment. 320(1). 51–61. 58 indexed citations
16.
King, R.L., et al.. (2002). Measuring reflectance of soil surface roughness with a field goniometer. 3. 1273–1275. 3 indexed citations
17.
Cox, Michael S.. (2001). THE LANCASTER SOIL TEST METHOD AS AN ALTERNATIVE TO THE MEHLICH 3 SOIL TEST METHOD1. Soil Science. 166(7). 484–489. 110 indexed citations
18.
Shaw, David R., et al.. (2001). Using soil parameters to predict weed infestations in soybean. Weed Science. 49(3). 367–374. 16 indexed citations
19.
Cox, Michael S., Paul F. Bell, & John L. Kovar. (1996). Differential tolerance of canola to arsenic when grown hydroponically or in soil. Journal of Plant Nutrition. 19(12). 1599–1610. 54 indexed citations
20.
Foran, Jeffery A., et al.. (1989). Sport fish consumption advisories and projected cancer risks in the Great Lakes basin.. American Journal of Public Health. 79(3). 322–325. 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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