Kishor Kumar

413 total citations
20 papers, 257 citations indexed

About

Kishor Kumar is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Kishor Kumar has authored 20 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Kishor Kumar's work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant Virus Research Studies (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Kishor Kumar is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant Virus Research Studies (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Kishor Kumar collaborates with scholars based in India and United States. Kishor Kumar's co-authors include Kumari Neelam, Kuldeep Singh, Gurjit Singh Mangat, Preetinder Singh Sarao, D. S. Brar, Amanpreet Kaur, Kumarasamy Thangaraj, Benildo G. de los Reyes, L.V.K.S. Bhaskar and Vadlamudi Raghavendra Rao and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Plant and Cell Physiology.

In The Last Decade

Kishor Kumar

18 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kishor Kumar India 11 191 63 57 43 34 20 257
Nóra Zsindely Hungary 11 32 0.2× 41 0.7× 188 3.3× 21 0.5× 76 2.2× 26 299
Antara Das India 11 208 1.1× 28 0.4× 88 1.5× 9 0.2× 32 0.9× 25 278
Sabine Schulze Germany 7 304 1.6× 36 0.6× 199 3.5× 17 0.4× 43 1.3× 12 453
Christopher J. Jang Canada 9 98 0.5× 30 0.5× 226 4.0× 22 0.5× 42 1.2× 9 375
Ricardo Magrani Junqueira Brazil 8 211 1.1× 41 0.7× 213 3.7× 16 0.4× 17 0.5× 14 411
Qingfeng Tang China 11 103 0.5× 34 0.5× 124 2.2× 139 3.2× 60 1.8× 44 329
Kurt C. Showmaker United States 9 97 0.5× 20 0.3× 66 1.2× 32 0.7× 4 0.1× 21 214
Cleverson C. Matiolli Brazil 10 362 1.9× 11 0.2× 205 3.6× 49 1.1× 7 0.2× 18 432
Elly Poretsky United States 6 264 1.4× 12 0.2× 150 2.6× 35 0.8× 14 0.4× 13 356
Ilya Solovev Russia 8 22 0.1× 22 0.3× 81 1.4× 26 0.6× 34 1.0× 25 225

Countries citing papers authored by Kishor Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Kishor Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kishor Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Kishor Kumar. A scholar is included among the top collaborators of Kishor Kumar 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 Kishor Kumar. Kishor Kumar 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.
2.
Dutta, Sayantani, Kishor Kumar, Tapas Chakraborty, et al.. (2025). Osmotic stress triggers calcium-mediated expression of the aquaporin (TIP2;1) gene in ashwagandha (Withania somnifera L. Dunal). Molecular Biology Reports. 53(1). 146–146.
3.
Neelam, Kumari, Sumit Kumar Aggarwal, Kishor Kumar, et al.. (2024). Molecular Mapping and Transfer of Quantitative Trait Loci (QTL) for Sheath Blight Resistance from Wild Rice Oryza nivara to Cultivated Rice (Oryza sativa L.). Genes. 15(7). 919–919. 2 indexed citations
4.
5.
Neelam, Kumari, Preetinder Singh Sarao, Kishor Kumar, et al.. (2022). Molecular mapping and transfer of a novel brown planthopper resistance gene bph42 from Oryza rufipogon (Griff.) To cultivated rice (Oryza sativa L.). Molecular Biology Reports. 49(9). 8597–8606. 13 indexed citations
6.
Kumar, Kishor, et al.. (2022). From Evolution to Revolution: Accelerating Crop Domestication through Genome Editing. Plant and Cell Physiology. 63(11). 1607–1623. 10 indexed citations
7.
Aggarwal, Sumit Kumar, Palvi Malik, Kumari Neelam, et al.. (2022). Genome-wide association mapping for identification of sheath blight resistance loci from wild rice Oryza rufipogon. Euphytica. 218(10). 5 indexed citations
8.
Neelam, Kumari, Kishor Kumar, Amandeep Kaur, et al.. (2021). High-resolution mapping of the quantitative trait locus (QTLs) conferring resistance to false smut disease in rice. Journal of Applied Genetics. 63(1). 35–45. 18 indexed citations
9.
Kumar, Kishor, et al.. (2020). Recent advances in genomics‐assisted breeding of brown planthopper (Nilaparvata lugens) resistance in rice (Oryza sativa). Plant Breeding. 139(6). 1052–1066. 18 indexed citations
10.
Kumar, Kishor, Kumari Neelam, Jyotirmaya Mathan, et al.. (2019). Production and cytological characterization of a synthetic amphiploid derived from a cross between Oryza sativa and Oryza punctata. Genome. 62(11). 705–714. 5 indexed citations
11.
12.
Kumar, Kishor, Preetinder Singh Sarao, Dharminder Bhatia, et al.. (2018). High-resolution genetic mapping of a novel brown planthopper resistance locus, Bph34 in Oryza sativa L. X Oryza nivara (Sharma & Shastry) derived interspecific F2 population. Theoretical and Applied Genetics. 131(5). 1163–1171. 53 indexed citations
13.
Neelam, Kumari, Neha Neha, Inderjit Singh Yadav, et al.. (2017). Novel Alleles of Phosphorus-Starvation Tolerance 1 Gene (PSTOL1) from Oryza rufipogon Confers High Phosphorus Uptake Efficiency. Frontiers in Plant Science. 8. 509–509. 27 indexed citations
14.
Neelam, Kumari, et al.. (2017). Identification of drought stress tolerance in wild species germplasm of rice based on leaf and root morphology. Plant Genetic Resources. 16(4). 289–295. 13 indexed citations
15.
Neelam, Kumari, et al.. (2016). Identification of resistance sources in wild species of rice against two recently evolved pathotypes ofXanthomonas oryzaepvoryzae. Plant Genetic Resources. 15(6). 558–562. 7 indexed citations
16.
Bhaskar, L.V.K.S., Kumarasamy Thangaraj, Kishor Kumar, et al.. (2013). Association between Neuropeptide Y Gene Polymorphisms and Alcohol Dependence: A Case-Control Study in Two Independent Populations. European Addiction Research. 19(6). 307–313. 14 indexed citations
17.
Bhaskar, L.V.K.S., Kumarasamy Thangaraj, G. Pardhasaradhi, et al.. (2010). Neuropeptide Y gene polymorphisms are not associated with obesity in a South Indian population. European Journal of Clinical Nutrition. 64(8). 868–872. 7 indexed citations
18.
Bhaskar, L.V.K.S., Kumarasamy Thangaraj, Amy L. Non, et al.. (2009). Neuropeptide Y gene functional polymorphism influences susceptibility to hypertension in Indian population. Journal of Human Hypertension. 24(9). 617–622. 11 indexed citations
19.
Bhaskar, L.V.K.S., Kumarasamy Thangaraj, Connie J. Mulligan, et al.. (2008). Allelic Variation and Haplotype Structure of the Dopamine Receptor Gene DRD2 in Nine Indian Populations. Genetic Testing. 12(1). 153–160. 10 indexed citations
20.
Bhaskar, L.V.K.S., Kumarasamy Thangaraj, G. Pardhasaradhi, et al.. (2007). Allelic variation in the NPY gene in 14 Indian populations. Journal of Human Genetics. 52(7). 592–598. 12 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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