Nathan A. Slaton

3.0k total citations
136 papers, 2.1k citations indexed

About

Nathan A. Slaton is a scholar working on Plant Science, Soil Science and Environmental Chemistry. According to data from OpenAlex, Nathan A. Slaton has authored 136 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Plant Science, 78 papers in Soil Science and 36 papers in Environmental Chemistry. Recurrent topics in Nathan A. Slaton's work include Soil Carbon and Nitrogen Dynamics (62 papers), Rice Cultivation and Yield Improvement (48 papers) and Soil and Water Nutrient Dynamics (33 papers). Nathan A. Slaton is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (62 papers), Rice Cultivation and Yield Improvement (48 papers) and Soil and Water Nutrient Dynamics (33 papers). Nathan A. Slaton collaborates with scholars based in United States, Japan and China. Nathan A. Slaton's co-authors include R. J. Norman, Charles E. Wilson, Trenton L. Roberts, Kristofor R. Brye, Robert J. Norman, Edward E. Gbur, Bobby R. Golden, Jeremy Ross, Richard J. Norman and R. D. Cartwright and has published in prestigious journals such as Soil Science Society of America Journal, Plant and Soil and Aquaculture.

In The Last Decade

Nathan A. Slaton

129 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan A. Slaton United States 28 1.4k 1.2k 388 318 206 136 2.1k
Timo Kautz Germany 27 1.1k 0.8× 1.4k 1.2× 223 0.6× 449 1.4× 206 1.0× 71 2.3k
Xinhua Yin United States 26 1.3k 0.9× 1.4k 1.2× 350 0.9× 777 2.4× 173 0.8× 106 2.6k
Madhu Choudhary India 28 1.0k 0.8× 1.3k 1.1× 207 0.5× 463 1.5× 256 1.2× 78 2.3k
Shicheng Zhao China 24 993 0.7× 1.0k 0.9× 270 0.7× 533 1.7× 193 0.9× 53 1.8k
Agnes Tirol‐Padre Philippines 26 1.7k 1.2× 1.3k 1.1× 264 0.7× 598 1.9× 418 2.0× 36 2.7k
Stephen Machado United States 24 808 0.6× 809 0.7× 222 0.6× 464 1.5× 129 0.6× 52 1.8k
Sandro José Giacomini Brazil 25 858 0.6× 1.6k 1.4× 381 1.0× 530 1.7× 119 0.6× 99 2.1k
Chao Ai China 22 1.1k 0.8× 1.5k 1.3× 327 0.8× 262 0.8× 148 0.7× 50 2.4k
Johannes Scholberg United States 28 1.4k 1.0× 1.4k 1.1× 279 0.7× 553 1.7× 172 0.8× 64 2.5k
Bingnian Zhai China 27 855 0.6× 1.4k 1.1× 211 0.5× 357 1.1× 147 0.7× 87 2.2k

Countries citing papers authored by Nathan A. Slaton

Since Specialization
Citations

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

Fields of papers citing papers by Nathan A. Slaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan A. Slaton. 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 Nathan A. Slaton. The network helps show where Nathan A. Slaton may publish in the future.

Co-authorship network of co-authors of Nathan A. Slaton

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan A. Slaton. A scholar is included among the top collaborators of Nathan A. Slaton 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 Nathan A. Slaton. Nathan A. Slaton 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.
Slaton, Nathan A., Luciano Colpo Gatiboni, Deanna L. Osmond, et al.. (2024). Models and sufficiency interpretation for estimating critical soil test values for the Fertilizer Recommendation Support Tool. Soil Science Society of America Journal. 88(4). 1419–1437. 5 indexed citations
2.
Drescher, Gerson Laerson, et al.. (2024). Soil moisture and probe characteristics affect core integrity and soil test results. Soil Science Society of America Journal. 88(4). 1216–1233. 1 indexed citations
3.
Duckworth, Owen W., et al.. (2024). Relationships between soil test phosphorus and county‐level agricultural surplus phosphorus. Journal of Environmental Quality. 53(6). 1127–1139.
4.
Roberts, Trenton L., et al.. (2024). Economic considerations of in‐season potassium applications to soybean using payoff matrices. Agronomy Journal. 117(1).
5.
Drescher, Gerson Laerson, et al.. (2024). Soil texture and organic matter prediction using Mehlich‐3 extractable nutrients. Agrosystems Geosciences & Environment. 7(1).
6.
Clark, Jason D., et al.. (2023). Current status of US soil test phosphorus and potassium recommendations and analytical methods. Soil Science Society of America Journal. 87(4). 985–998. 10 indexed citations
7.
Roberts, Trenton L., et al.. (2023). Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol. Agrosystems Geosciences & Environment. 6(4). 3 indexed citations
8.
Daniels, Mike, et al.. (2023). Potassium losses in runoff from cotton production fields. Agronomy Journal. 115(4). 1666–1677. 6 indexed citations
9.
Bolster, Carl H., et al.. (2022). A spreadsheet for determining critical soil test values using the modified arcsine‐log calibration curve. Soil Science Society of America Journal. 87(1). 182–189. 2 indexed citations
10.
Slaton, Nathan A., Carl H. Bolster, Tom Bruulsema, et al.. (2022). Defining relative yield for soil test correlation and calibration trials in the Fertilizer Recommendation Support Tool. Soil Science Society of America Journal. 86(5). 1338–1353. 22 indexed citations
11.
Slaton, Nathan A., et al.. (2021). Dynamic critical potassium concentrations in soybean leaves and petioles for monitoring potassium nutrition. Agronomy Journal. 113(6). 5472–5482. 7 indexed citations
12.
Slaton, Nathan A., Deanna L. Osmond, Sylvie M. Brouder, et al.. (2021). Minimum dataset and metadata guidelines for soil‐test correlation and calibration research. Soil Science Society of America Journal. 86(1). 19–33. 22 indexed citations
13.
Slaton, Nathan A., et al.. (2021). Development of a soil test correlation and calibration database for the USA. Agricultural & Environmental Letters. 6(4). 12 indexed citations
14.
Golden, Bobby R., et al.. (2009). Evaluation of Polymer‐Coated Urea for Direct‐Seeded, Delayed‐Flood Rice Production. Soil Science Society of America Journal. 73(2). 375–383. 52 indexed citations
15.
Harper, Timothy W., Kristofor R. Brye, T. C. Daniel, Nathan A. Slaton, & Brian E. Haggard. (2008). Land Use Effects on Runoff and Water Quality on an Eastern Arkansas Soil Under Simulated Rainfall. Journal of Sustainable Agriculture. 32(2). 231–253. 18 indexed citations
16.
Slaton, Nathan A., et al.. (2006). Correlation of Soil pH and Mehlich‐3 Phosphorus with Postflood Rice Phosphorus Concentrations in Arkansas. Communications in Soil Science and Plant Analysis. 37(15-20). 2819–2831. 7 indexed citations
17.
Brye, Kristofor R., Bobby R. Golden, & Nathan A. Slaton. (2006). Poultry Litter Decomposition as Affected by Litter Form and Rate before Flooding for Rice Production. Soil Science Society of America Journal. 70(4). 1155–1167. 9 indexed citations
18.
Brye, Kristofor R., et al.. (2003). Short‐Term Effects of Land Leveling on Soil Physical Properties and Microbial Biomass. Soil Science Society of America Journal. 67(5). 1405–1417. 40 indexed citations
19.
Slaton, Nathan A., et al.. (2000). Evaluation of sodium chlorate as a harvest aid for rice.. 246–255.
20.
Wilson, Charles E., et al.. (2000). Effects of using poultry litter as a preplant fertilizer in rice on high-pH soils.. Journal of Eating Disorders. 12(476). 238–245. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026