Deepmala Sehgal

3.3k total citations
55 papers, 1.9k citations indexed

About

Deepmala Sehgal is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Deepmala Sehgal has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 30 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Deepmala Sehgal's work include Wheat and Barley Genetics and Pathology (33 papers), Genetics and Plant Breeding (30 papers) and Genetic Mapping and Diversity in Plants and Animals (21 papers). Deepmala Sehgal is often cited by papers focused on Wheat and Barley Genetics and Pathology (33 papers), Genetics and Plant Breeding (30 papers) and Genetic Mapping and Diversity in Plants and Animals (21 papers). Deepmala Sehgal collaborates with scholars based in Mexico, India and United Kingdom. Deepmala Sehgal's co-authors include Inder K. Vijay, S. N. Raina, Susanne Dreisigacker, Sukhwinder Singh, R. S. Yadav, Ravi P. Singh, Prashant Vikram, Vincent Vadez, Vijay Rani Rajpal and Peter Wenzl and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Deepmala Sehgal

54 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Deepmala Sehgal 1.4k 730 306 168 81 55 1.9k
Liying Zhang 1.1k 0.8× 179 0.2× 604 2.0× 86 0.5× 73 0.9× 48 1.6k
Mingfang Zhang 1.6k 1.1× 237 0.3× 1.1k 3.6× 45 0.3× 61 0.8× 120 2.0k
Mehboob‐ur‐ Rahman 1.1k 0.7× 119 0.2× 556 1.8× 69 0.4× 32 0.4× 71 1.6k
Yihua Wang 2.0k 1.4× 591 0.8× 994 3.2× 51 0.3× 100 1.2× 81 2.6k
Cheol Seong Jang 1.2k 0.9× 160 0.2× 1.0k 3.4× 51 0.3× 68 0.8× 102 1.8k
Yafei Li 1.2k 0.9× 219 0.3× 1.2k 3.9× 70 0.4× 65 0.8× 92 1.8k
Jiao Wu 763 0.5× 111 0.2× 686 2.2× 29 0.2× 111 1.4× 91 1.6k
Nidhi Rawat 1.4k 1.0× 156 0.2× 412 1.3× 92 0.5× 32 0.4× 84 1.8k

Countries citing papers authored by Deepmala Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Deepmala Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepmala Sehgal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepmala Sehgal. A scholar is included among the top collaborators of Deepmala 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 Deepmala Sehgal. Deepmala 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.
Кохметова, Алма, et al.. (2025). Genetic dissection of Septoria tritici blotch and Septoria nodorum blotch resistance in wheat using GWAS. Frontiers in Plant Science. 16. 1524912–1524912.
2.
Sehgal, Deepmala, Fatih Özdemir, Mesut Keser, et al.. (2024). Genomic wide association study and selective sweep analysis identify genes associated with improved yield under drought in Turkish winter wheat germplasm. Scientific Reports. 14(1). 8431–8431. 5 indexed citations
3.
Кохметова, Алма, et al.. (2023). QTL mapping for seedling and adult plant resistance to stripe and leaf rust in two winter wheat populations. Frontiers in Genetics. 14. 1265859–1265859. 6 indexed citations
4.
Sehgal, Deepmala, et al.. (2023). Wheat Omics: Advancements and Opportunities. Plants. 12(3). 426–426. 9 indexed citations
5.
Rajpal, Vijay Rani, et al.. (2023). Comprehending the dynamism of B chromosomes in their journey towards becoming unselfish. Frontiers in Cell and Developmental Biology. 10. 1072716–1072716. 4 indexed citations
6.
Rajpal, Vijay Rani, Shashi Sharma, Deepmala Sehgal, et al.. (2022). A Comprehensive Account of SARS-CoV-2 Genome structure, Incurred mutations, Lineages and COVID-19 Vaccination Program. Future Virology. 17(9). 687–706. 11 indexed citations
7.
Rajpal, Vijay Rani, Shashi Sharma, Avinash Kumar, et al.. (2022). Mapping of SARS-CoV-2 Spike Protein Evolution During the First and Second Waves of COVID-19 Infections in India. Future Virology. 17(8). 557–575. 3 indexed citations
8.
Krishna, Hari, Ranjith Kumar Ellur, Deepmala Sehgal, et al.. (2022). Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.). Scientific Reports. 12(1). 7037–7037. 61 indexed citations
9.
Morgounov, Alexey, Fatih Özdemir, Mesut Keser, et al.. (2021). Diversity and Adaptation of Currently Grown Wheat Landraces and Modern Germplasm in Afghanistan, Iran, and Turkey. MDPI (MDPI AG). 1(2). 54–67. 8 indexed citations
10.
Vikram, Prashant, Deepmala Sehgal, Sridhar Bhavani, et al.. (2021). Genome-wide association analysis of Mexican bread wheat landraces for resistance to yellow and stem rust. PLoS ONE. 16(1). e0246015–e0246015. 21 indexed citations
11.
Кохметова, Алма, et al.. (2021). Genome-Wide Association Study of Tan Spot Resistance in a Hexaploid Wheat Collection From Kazakhstan. Frontiers in Genetics. 11. 581214–581214. 29 indexed citations
12.
Sehgal, Deepmala, Suchismita Mondal, Leonardo Crespo‐Herrera, et al.. (2020). Haplotype-Based, Genome-Wide Association Study Reveals Stable Genomic Regions for Grain Yield in CIMMYT Spring Bread Wheat. Frontiers in Genetics. 11. 589490–589490. 28 indexed citations
13.
Singh, Sukhwinder, Deepmala Sehgal, Sushil Kumar, et al.. (2020). GWAS revealed a novel resistance locus on chromosome 4D for the quarantine disease Karnal bunt in diverse wheat pre-breeding germplasm. Scientific Reports. 10(1). 5999–5999. 22 indexed citations
14.
Moya, Ernesto Solís, Gabriel Iturriaga, Deepmala Sehgal, et al.. (2019). GWAS to Identify Genetic Loci for Resistance to Yellow Rust in Wheat Pre-Breeding Lines Derived From Diverse Exotic Crosses. Frontiers in Plant Science. 10. 1390–1390. 37 indexed citations
15.
Dreisigacker, Susanne, et al.. (2016). CIMMYT Wheat Molecular Genetics : laboratory protocols and applications to wheat breeding. CIMMYT eBooks. 39 indexed citations
16.
Pierre, Carolina Saint, Juan Burgueño, José Crossa, et al.. (2016). Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones. Scientific Reports. 6(1). 27312–27312. 48 indexed citations
17.
Sehgal, Deepmala, V. Rajaram, Ian Armstead, et al.. (2012). Integration of gene-based markers in a pearl millet genetic map for identification of candidate genes underlying drought tolerance quantitative trait loci. BMC Plant Biology. 12(1). 9–9. 75 indexed citations
18.
Yadav, R. S., Deepmala Sehgal, & Vincent Vadez. (2010). Using genetic mapping and genomics approaches in understanding and improving drought tolerance in pearl millet. Journal of Experimental Botany. 62(2). 397–408. 67 indexed citations
19.
20.
Sehgal, Deepmala & Inder K. Vijay. (1994). A Method for the High Efficiency of Water-Soluble Carbodiimide-Mediated Amidation. Analytical Biochemistry. 218(1). 87–91. 286 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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