Vasu Kuraparthy

1.6k total citations
46 papers, 1.1k citations indexed

About

Vasu Kuraparthy is a scholar working on Plant Science, Endocrinology and Genetics. According to data from OpenAlex, Vasu Kuraparthy has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 16 papers in Endocrinology and 4 papers in Genetics. Recurrent topics in Vasu Kuraparthy's work include Research in Cotton Cultivation (34 papers), Plant and Fungal Interactions Research (16 papers) and Plant Virus Research Studies (14 papers). Vasu Kuraparthy is often cited by papers focused on Research in Cotton Cultivation (34 papers), Plant and Fungal Interactions Research (16 papers) and Plant Virus Research Studies (14 papers). Vasu Kuraparthy collaborates with scholars based in United States, India and Ireland. Vasu Kuraparthy's co-authors include Bikram S. Gill, Shilpa Sood, H. S. Dhaliwal, Parveen Chhuneja, Daryl T. Bowman, Robert L. Bowden, Satinder Kaur, Priyanka Tyagi, B. Todd Campbell and Baljinder Kaur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

Vasu Kuraparthy

41 papers receiving 1.1k citations

Peers

Vasu Kuraparthy

ENDOC

GENET

ACS

Lee Panella United States

P. M. Thaxton United States

Edward L. Lubbers United States

Bode A. Olukolu United States

Christine Lariagon France

Justin T. Page United States

Casiana M. Vera Cruz Philippines

Fengqun Yu Canada

H. S. Bariana Australia

David Feindel Canada

Lee Panella United States

Vasu Kuraparthy

585 ×0.6

175 ×0.8

36 ×0.2

ENDOC

116 ×0.6

GENET

40 ×0.5

ACS

Citations per year, relative to Vasu Kuraparthy Vasu Kuraparthy (= 1×) peers Lee Panella

Countries citing papers authored by Vasu Kuraparthy

Since Specialization

Citations

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

Fields of papers citing papers by Vasu Kuraparthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasu Kuraparthy. 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 Vasu Kuraparthy. The network helps show where Vasu Kuraparthy may publish in the future.

Co-authorship network of co-authors of Vasu Kuraparthy

This figure shows the co-authorship network connecting the top 25 collaborators of Vasu Kuraparthy. A scholar is included among the top collaborators of Vasu Kuraparthy 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 Vasu Kuraparthy. Vasu Kuraparthy 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

Kuraparthy, Vasu, Michael Jones, B. Todd Campbell, et al.. (2025). Better root length distribution in the deep soil profile enhances upland cotton performance. Field Crops Research. 325. 109805–109805. 2 indexed citations

Zimmerman, P. W., et al.. (2024). Physiological characterization of leaf‐shape isolines of upland cotton. Agronomy Journal. 117(1).

Fang, Hui, Priyanka Tyagi, Fred M. Bourland, et al.. (2024). Genome-wide association study of fiber quality traits in US upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 137(9). 214–214. 2 indexed citations

Kuraparthy, Vasu, et al.. (2024). Phenotypic variability in the US upland cotton core set for root traits and water use efficiency at the late reproductive stage. Crop Science. 64(3). 1831–1845. 1 indexed citations

Kuraparthy, Vasu, et al.. (2024). Fine mapping and targeted genomic analyses of photoperiod‐sensitive gene ( GB_PPD1 ) in Pima cotton ( Gossypium barbadense L.). Crop Science. 64(3). 1756–1771.

Fang, Hui, Shilpa Sood, Kuang Zhang, et al.. (2022). Identification and genomic characterization of major effect bacterial blight resistance locus (BB-13) in Upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 135(12). 4421–4436. 11 indexed citations

Abdelraheem, Abdelraheem, Vasu Kuraparthy, Lori L. Hinze, et al.. (2021). Genome-wide association study for tolerance to drought and salt tolerance and resistance to thrips at the seedling growth stage in US Upland cotton. Industrial Crops and Products. 169. 113645–113645. 17 indexed citations

Abdelraheem, Abdelraheem, Yi Zhu, Terry A. Wheeler, et al.. (2021). Evaluation and genome-wide association study of resistance to bacterial blight race 18 in U.S. Upland cotton germplasm. Molecular Genetics and Genomics. 296(3). 719–729. 11 indexed citations

Zhang, Kuang, et al.. (2021). High‐density linkage map construction and QTL analysis of fiber quality and lint percentage in tetraploid cotton. Crop Science. 61(5). 3340–3360. 10 indexed citations

10.

Zhang, Kuang, et al.. (2019). High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.). BMC Genomics. 20(1). 889–889. 31 indexed citations

11.

Abdelraheem, Abdelraheem, Yi Zhu, Vasu Kuraparthy, et al.. (2019). A genome-wide association study uncovers consistent quantitative trait loci for resistance to Verticillium wilt and Fusarium wilt race 4 in the US Upland cotton. Theoretical and Applied Genetics. 133(2). 563–577. 68 indexed citations

12.

Coneva, Viktoriya, Margaret H. Frank, John R. Tuttle, et al.. (2016). Modifications to a LATE MERISTEM IDENTITY1 gene are responsible for the major leaf shapes of Upland cotton ( Gossypium hirsutum L.). Proceedings of the National Academy of Sciences. 114(1). E57–E66. 85 indexed citations

13.

Bowman, Daryl T., Fred M. Bourland, & Vasu Kuraparthy. (2016). Measuring Maturity in Cotton Cultivar Trials. The journal of cotton science/Journal of cotton science. 20(1). 40–45. 13 indexed citations

14.

Tyagi, Priyanka, Michael A. Gore, Daryl T. Bowman, et al.. (2013). Genetic diversity and population structure in the US Upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 127(2). 283–295. 133 indexed citations

15.

Bowman, Daryl T., et al.. (2013). Mapping and genomic targeting of the major leaf shape gene (L) in Upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 127(1). 167–177. 23 indexed citations

16.

Hutmacher, Robert B., Mauricio Ulloa, Steven D. Wright, et al.. (2013). Elite Upland Cotton Germplasm‐Pool Assessment of Fusarium Wilt Resistance in California. Agronomy Journal. 105(6). 1635–1644. 36 indexed citations

17.

Kuraparthy, Vasu & Daryl T. Bowman. (2013). BREEDING AND GENETICS Gains in Breeding Upland Cotton for Fiber Quality. 2 indexed citations

18.

Gill, Bikram S., Li Huang, Vasu Kuraparthy, et al.. (2008). Alien genetic resources for wheat leaf rust resistance, cytogenetic transfer, and molecular analysis*. Australian Journal of Agricultural Research. 59(3). 197–205. 28 indexed citations

19.

Kuraparthy, Vasu, Shilpa Sood, & Bikram S. Gill. (2007). Genomic targeting and mapping of tiller inhibition gene (tin3) of wheat using ESTs and synteny with rice. Functional & Integrative Genomics. 8(1). 33–42. 39 indexed citations

20.

Kuraparthy, Vasu, Parveen Chhuneja, H. S. Dhaliwal, et al.. (2007). Characterization and mapping of cryptic alien introgression from Aegilops geniculata with new leaf rust and stripe rust resistance genes Lr57 and Yr40 in wheat. Theoretical and Applied Genetics. 114(8). 1379–1389. 153 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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