Steven A. Thompson

405 total citations
8 papers, 283 citations indexed

About

Steven A. Thompson is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Steven A. Thompson has authored 8 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Steven A. Thompson's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic diversity and population structure (2 papers) and Plant and Fungal Interactions Research (2 papers). Steven A. Thompson is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic diversity and population structure (2 papers) and Plant and Fungal Interactions Research (2 papers). Steven A. Thompson collaborates with scholars based in United States, Netherlands and India. Steven A. Thompson's co-authors include Manju Gupta, Siva P. Kumpatla, Meenu Gupta, Thomas W. Greene, Wei Chen, Jafar Mammadov, Feyruz Yalçin, Hanneke Witsenboer, Elizabeth Jones and A. L. Kahler and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Molecular Breeding.

In The Last Decade

Steven A. Thompson

8 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven A. Thompson United States	7	197	151	86	79	15	8	283
Zengdong Tan China	13	291 1.5×	208 1.4×	61 0.7×	70 0.9×	21 1.4×	24	408
Yonghai Fan China	10	281 1.4×	188 1.2×	38 0.4×	41 0.5×	10 0.7×	28	346
Hongli Yang China	11	422 2.1×	265 1.8×	55 0.6×	48 0.6×	9 0.6×	27	501
Yazhou Shu China	11	332 1.7×	194 1.3×	55 0.6×	12 0.2×	10 0.7×	13	389
Chunyu Zhang China	15	535 2.7×	336 2.2×	71 0.8×	29 0.4×	10 0.7×	28	603
Maria Elena Gamo United States	5	336 1.7×	352 2.3×	42 0.5×	28 0.4×	7 0.5×	6	437
Weidong Wang United States	10	316 1.6×	71 0.5×	55 0.6×	30 0.4×	3 0.2×	16	348
Ya Gao China	8	375 1.9×	355 2.4×	55 0.6×	14 0.2×	9 0.6×	16	517
Patcharin Tanya Thailand	10	222 1.1×	115 0.8×	86 1.0×	25 0.3×	75 5.0×	31	329

Countries citing papers authored by Steven A. Thompson

Since Specialization

Citations

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

Fields of papers citing papers by Steven A. Thompson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven A. Thompson

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

All Works

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8 of 8 papers shown

Kahler, A. L., et al.. (2011). Evaluation of the Numbers of Single Nucleotide Polymorphisms Required to Measure Genetic Distance in Maize (Zea mays L.). Crop Science. 51(4). 1470–1480. 4 indexed citations

Mammadov, Jafar, Wei Chen, Feyruz Yalçin, et al.. (2010). Development of highly polymorphic SNP markers from the complexity reduced portion of maize [Zea mays L.] genome for use in marker-assisted breeding. Theoretical and Applied Genetics. 121(3). 577–588. 40 indexed citations

Kahler, A. L., et al.. (2010). North American Study on Essential Derivation in Maize: II. Selection and Evaluation of a Panel of Simple Sequence Repeat Loci. Crop Science. 50(2). 486–503. 15 indexed citations

Greene, Thomas W., et al.. (2008). Mapping of the Ogura fertility restorer gene Rfo and development of Rfo allele-specific markers in canola (Brassica napus L.). Molecular Breeding. 22(4). 663–674. 25 indexed citations

Gupta, Meenu, et al.. (2007). G-to-A mutation at a 5' splice site of fad3c caused impaired splicing in a low linolenic mutant of canola (Brassica napus L.). Plant Biotechnology. 24(4). 397–400. 10 indexed citations

Gupta, Manju, et al.. (2006). Mapping of the loci controlling oleic and linolenic acid contents and development of fad2 and fad3 allele-specific markers in canola (Brassica napus L.). Theoretical and Applied Genetics. 113(3). 497–507. 120 indexed citations

Kumpatla, Siva P., et al.. (2004). Improved high-throughput sunflower and cotton genomic DNA extraction and PCR fidelity. Plant Molecular Biology Reporter. 22(1). 83–84. 60 indexed citations

Kumpatla, Siva P., et al.. (2004). An improved enrichment procedure to develop multiple repeat classes of cotton microsatellite markers. Plant Molecular Biology Reporter. 22(1). 85–86. 9 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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