Kapeel Chougule

5.4k total citations · 1 hit paper
18 papers, 969 citations indexed

About

Kapeel Chougule is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Kapeel Chougule has authored 18 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 11 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Kapeel Chougule's work include Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Chromosomal and Genetic Variations (5 papers). Kapeel Chougule is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Chromosomal and Genetic Variations (5 papers). Kapeel Chougule collaborates with scholars based in United States, Canada and China. Kapeel Chougule's co-authors include Doreen Ware, Matthew B. Hufford, Shujun Ou, Candice N. Hirsch, Tyler A. Elliott, Thomas Peterson, Yi Liao, Jireh Agda, Ning Jiang and Nicholas Gladman and has published in prestigious journals such as PLoS ONE, Genetics and Genome biology.

In The Last Decade

Kapeel Chougule

17 papers receiving 966 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline

2019 747 citations Shujun Ou, Yi Liao et al. Genome biology profile →

Peers

Kapeel Chougule

GENET

EEBS

Jireh Agda Canada

Norihiro Futamura Japan

Kelly Vining United States

Minren Huang China

Augusto Lima Diniz Brazil

Hugh A. Young United States

Sara Pinosio Italy

Wen He China

G. Esselink Netherlands

Jireh Agda Canada

Kapeel Chougule

507 ×0.8

468 ×0.8

161 ×0.7

GENET

91 ×1.0

EEBS

48 ×0.9

Citations per year, relative to Kapeel Chougule Kapeel Chougule (= 1×) peers Jireh Agda

Countries citing papers authored by Kapeel Chougule

Since Specialization

Citations

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

Fields of papers citing papers by Kapeel Chougule

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapeel Chougule

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

All Works

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18 of 18 papers shown

Cannon, Ethalinda K. S., et al.. (2025). Guidelines for gene and genome assembly nomenclature. Genetics. 229(3). 1 indexed citations

Wei, Sharon, Kapeel Chougule, Andrew Olson, et al.. (2025). GrameneOryza: a comprehensive resource for Oryza genomes, genetic variation, and functional data. Database. 2025.

Zhou, Yong, Nagarajan Kathiresan, Zhichao Yu, et al.. (2024). A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset. BMC Biology. 22(1). 13–13. 4 indexed citations

Wáng, Bó, Kapeel Chougule, Yinping Jiao, et al.. (2024). High-quality chromosome scale genome assemblies of two important Sorghum inbred lines, Tx2783 and RTx436. NAR Genomics and Bioinformatics. 6(3). lqae097–lqae097. 2 indexed citations

Chougule, Kapeel, Marcela K Tello-Ruiz, Shouhui Wei, et al.. (2024). Pan genome resources for grapevine. Acta Horticulturae. 257–266. 1 indexed citations

Gladman, Nicholas, Sara Goodwin, Kapeel Chougule, W. Richard McCombie, & Doreen Ware. (2023). Era of gapless plant genomes: innovations in sequencing and mapping technologies revolutionize genomics and breeding. Current Opinion in Biotechnology. 79. 102886–102886. 24 indexed citations

Tranchant‐Dubreuil, Christine, Philippe Cubry, Kapeel Chougule, et al.. (2023). Genome-wide association analysis identifies natural allelic variants associated with panicle architecture variation in African rice, Oryza glaberrima Steud. G3 Genes Genomes Genetics. 13(10). 4 indexed citations

Chougule, Kapeel, Zhenyuan Lu, Andrew Olson, et al.. (2023). Ten new high-quality genome assemblies for diverse bioenergy sorghum genotypes. Frontiers in Plant Science. 13. 1040909–1040909. 4 indexed citations

Gladman, Nicholas, Bárbara Hufnagel, Michael Regulski, et al.. (2022). Sorghum root epigenetic landscape during limiting phosphorus conditions. Plant Direct. 6(5). e393–e393. 11 indexed citations

10.

Gladman, Nicholas, Andrew Olson, Sharon Wei, et al.. (2022). SorghumBase: a web-based portal for sorghum genetic information and community advancement. Planta. 255(2). 35–35. 23 indexed citations

11.

Vaughn, Justin N., Walid Korani, Joshua C. Stein, et al.. (2021). Gene disruption by structural mutations drives selection in US rice breeding over the last century. PLoS Genetics. 17(3). e1009389–e1009389. 8 indexed citations

12.

Liu, Jianing, Arun S. Seetharam, Kapeel Chougule, et al.. (2020). Gapless assembly of maize chromosomes using long-read technologies. Genome biology. 21(1). 121–121. 83 indexed citations

13.

Wang, Bo, Elizabeth Tseng, Primo Baybayan, et al.. (2020). Variant phasing and haplotypic expression from long-read sequencing in maize. Communications Biology. 3(1). 78–78. 19 indexed citations

14.

Tello-Ruiz, Marcela K, Cristina F. Marco, Fei‐Man Hsu, et al.. (2019). Double triage to identify poorly annotated genes in maize: The missing link in community curation. PLoS ONE. 14(10). e0224086–e0224086. 7 indexed citations

15.

Ou, Shujun, Yi Liao, Kapeel Chougule, et al.. (2019). Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline. Genome biology. 20(1). 275–275. 747 indexed citations breakdown →

16.

Kyndt, John A., et al.. (2018). Low-phosphate-selected Auxenochlorella protothecoides redirects phosphate to essential pathways while producing more biomass. PLoS ONE. 13(6). e0198953–e0198953. 7 indexed citations

17.

Chougule, Kapeel, Liya Wang, Joshua C. Stein, et al.. (2018). Improved RNA‐seq Workflows Using CyVerse Cyberinfrastructure. Current Protocols in Bioinformatics. 63(1). e53–e53. 3 indexed citations

18.

Bhatia, Dharminder, Rod A. Wing, Yeisoo Yu, et al.. (2018). Genotyping by sequencing of rice interspecific backcross inbred lines identifies QTLs for grain weight and grain length. Euphytica. 214(2). 21 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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