Sunish K. Sehgal

8.6k total citations
66 papers, 1.8k citations indexed

About

Sunish K. Sehgal is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Sunish K. Sehgal has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 25 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in Sunish K. Sehgal's work include Wheat and Barley Genetics and Pathology (49 papers), Plant Disease Resistance and Genetics (24 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). Sunish K. Sehgal is often cited by papers focused on Wheat and Barley Genetics and Pathology (49 papers), Plant Disease Resistance and Genetics (24 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). Sunish K. Sehgal collaborates with scholars based in United States, China and India. Sunish K. Sehgal's co-authors include Bikram S. Gill, Bernd Friebe, Guihua Bai, Harsimardeep S. Gill, Shaukat Ali, Jagdeep Singh Sidhu, Meng Lin, Shubing Liu, Harold N. Trick and Jiarui Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sunish K. Sehgal

64 papers receiving 1.8k citations

Peers

Sunish K. Sehgal
Gaofeng Jia China
Wanquan Ji China
Kevin Fengler United States
Melissa H. Jia United States
Jörg Plieske Germany
Peidu Chen China
O. A. Tanzarella Italy
Peng Xu China
Gaofeng Jia China
Sunish K. Sehgal
Citations per year, relative to Sunish K. Sehgal Sunish K. Sehgal (= 1×) peers Gaofeng Jia

Countries citing papers authored by Sunish K. Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Sunish K. Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunish K. Sehgal. 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 Sunish K. Sehgal. The network helps show where Sunish K. Sehgal may publish in the future.

Co-authorship network of co-authors of Sunish K. Sehgal

This figure shows the co-authorship network connecting the top 25 collaborators of Sunish K. Sehgal. A scholar is included among the top collaborators of Sunish K. Sehgal 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 Sunish K. Sehgal. Sunish K. Sehgal 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.
Gudi, Santosh, H. S. Gill, Sara Collins, et al.. (2025). Association analysis identified superior haplotypes for improved salt stress tolerance in wheat (Triticum aestivum L.). Plant Stress. 16. 100900–100900. 3 indexed citations
2.
Gudi, Santosh, Harsimardeep S. Gill, Sunish K. Sehgal, et al.. (2025). Understanding the genetic basis of heat stress tolerance in wheat ( Triticum aestivum L.) through genome‐wide association studies. The Plant Genome. 18(3). e70071–e70071. 1 indexed citations
3.
Saini, Dinesh Kumar, Jyotirmoy Halder, Harsimardeep S. Gill, et al.. (2024). Rapid estimation of DON content in wheat flour using close‐range hyperspectral imaging and machine learning. SHILAP Revista de lepidopterología. 7(1). 4 indexed citations
4.
Gill, Harsimardeep S., Jyotirmoy Halder, Shaukat Ali, et al.. (2024). Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat. The Plant Genome. 17(3). e20470–e20470. 10 indexed citations
5.
Zhao, Yue, Qianwen Liu, Huihui Bi, et al.. (2024). Pm57 from Aegilops searsii encodes a tandem kinase protein and confers wheat powdery mildew resistance. Nature Communications. 15(1). 4796–4796. 26 indexed citations
6.
Gudi, Santosh, Peter J. Maughan, Zhaohui Liu, et al.. (2024). Genomes of Aegilops umbellulata provide new insights into unique structural variations and genetic diversity in the U‐genome for wheat improvement. Plant Biotechnology Journal. 22(12). 3505–3519. 4 indexed citations
7.
Liu, Qianwen, Cheng Liu, Harsimardeep S. Gill, et al.. (2024). Wheat powdery mildew resistance gene Pm13 encodes a mixed lineage kinase domain-like protein. Nature Communications. 15(1). 2449–2449. 29 indexed citations
8.
Chen, Xuexue, Wenxuan Liu, Liwei Zhang, et al.. (2024). An Aegilops longissima NLR protein with integrated CC-BED module mediates resistance to wheat powdery mildew. Nature Communications. 15(1). 8281–8281. 11 indexed citations
9.
Gill, Harsimardeep S., Shahid Nawaz Khan, Jyotirmoy Halder, et al.. (2024). Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning. Frontiers in Plant Science. 15. 1410249–1410249. 11 indexed citations
10.
Gill, Harsimardeep S., Jyotirmoy Halder, Bradford W. Seabourn, et al.. (2023). Multi‐trait genomic selection improves the prediction accuracy of end‐use quality traits in hard winter wheat. The Plant Genome. 16(4). e20331–e20331. 10 indexed citations
11.
Gill, Harsimardeep S., Jyotirmoy Halder, Jinfeng Zhang, et al.. (2022). Whole-genome analysis of hard winter wheat germplasm identifies genomic regions associated with spike and kernel traits. Theoretical and Applied Genetics. 135(9). 2953–2967. 13 indexed citations
12.
Abbasov, Mehraj, Zeynal Akparov, Sevda Babayeva, et al.. (2021). Genotyping by Sequencing and Rust Resistance of Azerbaijani Durum Wheat Germplasm. 2021(2). 1–7. 1 indexed citations
13.
Li, Huanhuan, Chao Ma, Sunish K. Sehgal, et al.. (2021). Development of Novel Wheat–Aegilops longissima 3S1 Translocations Conferring Powdery Mildew Resistance and Specific Molecular Markers for Chromosome 3S1. Plant Disease. 105(10). 2938–2945. 6 indexed citations
14.
Gill, Harsimardeep S., Jyotirmoy Halder, Jinfeng Zhang, et al.. (2021). Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat. Frontiers in Plant Science. 12. 709545–709545. 34 indexed citations
15.
Gill, Harsimardeep S., Chunxin Li, Jagdeep Singh Sidhu, et al.. (2019). Fine Mapping of the Wheat Leaf Rust Resistance Gene Lr42. International Journal of Molecular Sciences. 20(10). 2445–2445. 22 indexed citations
16.
Singh, Narinder, Shuangye Wu, Vijay Tiwari, et al.. (2019). Genomic Analysis Confirms Population Structure and Identifies Inter-Lineage Hybrids in Aegilops tauschii. Frontiers in Plant Science. 10. 9–9. 39 indexed citations
17.
Sehgal, Sunish K., et al.. (2017). Reaction of Global Collection of Rye (Secale cereale L.) to Tan Spot and Pyrenophora tritici-repentis Races in South Dakota. The Plant Pathology Journal. 33(3). 229–237. 5 indexed citations
18.
Koo, Dal‐Hoe, Sunish K. Sehgal, Bernd Friebe, & Bikram S. Gill. (2015). Structure and Stability of Telocentric Chromosomes in Wheat. PLoS ONE. 10(9). e0137747–e0137747. 17 indexed citations
19.
Tiwari, Vijay, Shichen Wang, Sunish K. Sehgal, et al.. (2014). SNP Discovery for mapping alien introgressions in wheat. BMC Genomics. 15(1). 273–273. 72 indexed citations
20.
Sehgal, Sunish K., et al.. (2008). Development and molecular marker analysis of Karnal bunt resistant near isogenic lines in bread wheat variety PBW 343. Indian Journal of Genetics and Plant Breeding (The). 68(1). 21–25. 5 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

Breakdown of academic impact, for papers by Gaofeng Jia Breakdown of academic impact, for papers by Wanquan Ji Breakdown of academic impact, for papers by Kevin Fengler Breakdown of academic impact, for papers by Melissa H. Jia Breakdown of academic impact, for papers by Jörg Plieske Breakdown of academic impact, for papers by Peidu Chen Breakdown of academic impact, for papers by O. A. Tanzarella Breakdown of academic impact, for papers by Peng Xu
Rankless by CCL
2026