S. D. Linscombe

2.4k total citations
71 papers, 1.8k citations indexed

About

S. D. Linscombe is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, S. D. Linscombe has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 17 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Genetics. Recurrent topics in S. D. Linscombe's work include Rice Cultivation and Yield Improvement (40 papers), GABA and Rice Research (28 papers) and Plant Disease Resistance and Genetics (15 papers). S. D. Linscombe is often cited by papers focused on Rice Cultivation and Yield Improvement (40 papers), GABA and Rice Research (28 papers) and Plant Disease Resistance and Genetics (15 papers). S. D. Linscombe collaborates with scholars based in United States, China and Brazil. S. D. Linscombe's co-authors include Anna M. McClung, K. S. McKenzie, K. A. K. Moldenhauer, Elaine T. Champagne, James H. Oard, Franklin E. Barton, Bryan T. Vinyard, F. Jodari, D. E. Groth and P. K. Bollich and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Plant and Soil and Theoretical and Applied Genetics.

In The Last Decade

S. D. Linscombe

70 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. D. Linscombe United States	28	1.5k	500	305	264	264	71	1.8k
Russell Reinke Philippines	28	1.9k 1.3×	430 0.9×	477 1.6×	188 0.7×	149 0.6×	53	2.2k
C. L. L. Gowda India	27	2.2k 1.4×	207 0.4×	221 0.7×	292 1.1×	286 1.1×	57	2.6k
O. M. Lukow Canada	26	2.0k 1.3×	653 1.3×	366 1.2×	205 0.8×	333 1.3×	78	2.3k
Carlos Guzmán Spain	31	2.5k 1.6×	487 1.0×	638 2.1×	168 0.6×	174 0.7×	122	2.9k
A. B. Blakeney Australia	20	792 0.5×	604 1.2×	121 0.4×	99 0.4×	276 1.0×	35	1.3k
R. E. Schaffert Brazil	27	1.9k 1.3×	228 0.5×	319 1.0×	178 0.7×	154 0.6×	114	2.6k
Mahalingam Govindaraj India	22	1.6k 1.0×	182 0.4×	376 1.2×	209 0.8×	219 0.8×	78	1.9k
R. J. Peña Mexico	24	1.9k 1.2×	528 1.1×	294 1.0×	129 0.5×	144 0.5×	43	2.1k
Gary A. Hareland United States	25	1.6k 1.0×	512 1.0×	545 1.8×	93 0.4×	241 0.9×	66	1.9k
S. E. Ullrich United States	32	2.9k 1.9×	645 1.3×	1.2k 4.0×	354 1.3×	324 1.2×	88	3.4k

Countries citing papers authored by S. D. Linscombe

Since Specialization

Citations

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

Fields of papers citing papers by S. D. Linscombe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. D. Linscombe

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

All Works

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20 of 20 papers shown

Famoso, Adam, et al.. (2025). 110 years of rice breeding at LSU: realized genetic gains and future optimization. Theoretical and Applied Genetics. 138(7). 142–142. 2 indexed citations

Linquist, Bruce A., Maria Arlene Adviento‐Borbe, Merle M. Anders, et al.. (2018). Greenhouse Gas Emissions and Management Practices that Affect Emissions in US Rice Systems. Journal of Environmental Quality. 47(3). 395–409. 49 indexed citations

Solis, Julio, Venkata Mangu, E. Sánchez, et al.. (2018). Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions. Frontiers in Chemistry. 5. 129–129. 38 indexed citations

Sha, X., S. D. Linscombe, D. E. Groth, et al.. (2012). Registration of ‘Jazzman‐2’ Aromatic Long‐Grain Rice. Journal of Plant Registrations. 7(1). 26–30. 5 indexed citations

Sha, X., et al.. (2010). Registration of ‘Neptune’ Southern Medium‐Grain Rice. Journal of Plant Registrations. 4(3). 179–182. 6 indexed citations

Nelson, James C., Anna M. McClung, Robert G. Fjellstrom, et al.. (2010). Mapping QTL main and interaction influences on milling quality in elite US rice germplasm. Theoretical and Applied Genetics. 122(2). 291–309. 45 indexed citations

Utomo, Herry S., et al.. (2009). Low-cost method for streamlining marker-assisted selection and breeding line development in rice (Oryza sativa L.). 1(4). 64–74. 2 indexed citations

Blanche, Sterling B. & S. D. Linscombe. (2009). Stability of Rice Grain and Whole Kernel Milling Yield is Affected by Cultivar and Date of Planting. Agronomy Journal. 101(3). 522–528. 20 indexed citations

Linscombe, S. D., X. Sha, Jason A. Bond, et al.. (2006). Registration of ‘Trenasse’ Rice. Crop Science. 46(5). 2318–2319. 12 indexed citations

10.

Sha, X., S. D. Linscombe, D. E. Groth, et al.. (2006). Registration of ‘Jupiter’ Rice. Crop Science. 46(4). 1811–1812. 32 indexed citations

11.

Linscombe, S. D., et al.. (2005). Use of bridge parents with high anther culturability in doubled haploid breeding of Southern U.S. long-grain rice (Oryza sativa L.).. SABRAO Journal of Breeding and Genetics. 37(1). 11–18. 1 indexed citations

12.

Zhang, Nengyi, S. D. Linscombe, & James H. Oard. (2003). Out-crossing frequency and genetic analysis of hybrids between transgenic glufosinate herbicide-resistant rice and the weed, red rice. Euphytica. 130(1). 35–45. 53 indexed citations

13.

Jodari, F., X. Sha, S. D. Linscombe, et al.. (2003). Registration of ‘Dellmati’ Rice. Crop Science. 43(1). 435–436. 1 indexed citations

14.

Slaton, Nathan A., S. D. Linscombe, R. J. Norman, & Edward E. Gbur. (2003). Seeding Date Effect on Rice Grain Yields in Arkansas and Louisiana. Agronomy Journal. 95(1). 218–218. 15 indexed citations

15.

Champagne, Elaine T., Karen L. Bett‐Garber, Casey C. Grimm, et al.. (2001). Near‐Infrared Reflectance Analysis for Prediction of Cooked Rice Texture. Cereal Chemistry. 78(3). 358–362. 31 indexed citations

16.

Rush, M. C., et al.. (1999). Major Gene, Nonallelic Sheath Blight Resistance from the Rice Cultivars Jasmine 85 and Teqing. Crop Science. 39(2). 338–346. 77 indexed citations

17.

Linscombe, S. D., F. Jodari, K. S. McKenzie, et al.. (1995). Registration of ‘Jodon’ Rice. Crop Science. 35(4). 1217–1218. 7 indexed citations

18.

Linscombe, S. D., et al.. (1992). Registration of LSBR‐33 and LSBR‐5 Sheath Blight‐Resistant Germplasm Lines of Rice. Crop Science. 32(2). 507–507. 33 indexed citations

19.

Smith, M. A., et al.. (1986). Selection for resistance to Cochliobolus sativus in tall fescue (Festuca arundinacea Schreb.). Theoretical and Applied Genetics. 72(6). 807–810. 2 indexed citations

20.

Linscombe, S. D., et al.. (1983). Inheritance of Resistance to Infection by Drechslera Sorokiniana in Tall Fescue¹. Crop Science. 23(6). 1085–1087. 6 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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