Monu Kumar

449 total citations
18 papers, 291 citations indexed

About

Monu Kumar is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Monu Kumar has authored 18 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 6 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Monu Kumar's work include Genetics and Plant Breeding (8 papers), Wheat and Barley Genetics and Pathology (5 papers) and Plant Stress Responses and Tolerance (4 papers). Monu Kumar is often cited by papers focused on Genetics and Plant Breeding (8 papers), Wheat and Barley Genetics and Pathology (5 papers) and Plant Stress Responses and Tolerance (4 papers). Monu Kumar collaborates with scholars based in India, United States and Taiwan. Monu Kumar's co-authors include Cristina Martínez‐Andújar, Piotr Pupel, Hiroyuki Nonogaki, Ruth C. Martin, Masashi Asahina, Natalya A. Goloviznina, George W. Bassel, Po‐Pu Liu, Hari Krishna and Gyanendra Pratap Singh and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Frontiers in Genetics.

In The Last Decade

Monu Kumar

18 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monu Kumar India	9	281	108	58	27	8	18	291
Xinxiu Cheng China	6	445 1.6×	170 1.6×	53 0.9×	62 2.3×	4 0.5×	7	482
Odile Jaminon France	6	370 1.3×	87 0.8×	116 2.0×	62 2.3×	17 2.1×	7	393
Sophie A. Harrington United Kingdom	9	260 0.9×	124 1.1×	73 1.3×	24 0.9×	2 0.3×	12	299
Éva Szakács Hungary	14	382 1.4×	105 1.0×	75 1.3×	41 1.5×	4 0.5×	32	401
Aleksandra Radanović Serbia	7	193 0.7×	55 0.5×	27 0.5×	30 1.1×	7 0.9×	12	208
Setsuzo Yumoto Japan	10	308 1.1×	61 0.6×	19 0.3×	32 1.2×	8 1.0×	17	322
Lixin Luo China	9	274 1.0×	69 0.6×	100 1.7×	13 0.5×	5 0.6×	15	295
Xuebo Zhao China	4	217 0.8×	80 0.7×	103 1.8×	29 1.1×	3 0.4×	6	265
Cassandria G. Tay Fernandez Australia	8	184 0.7×	105 1.0×	65 1.1×	10 0.4×	8 1.0×	18	236
Kanako Bessho‐Uehara Japan	10	242 0.9×	64 0.6×	152 2.6×	13 0.5×	7 0.9×	15	260

Countries citing papers authored by Monu Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Monu Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monu Kumar

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

Ashutosh, Ashutosh, et al.. (2025). Marker-assisted foreground pyramiding of genes/QTL’s for grain quality and rust resistance genes in most popular wheat cv., HUW234 of Eastern Gangetic plains of India. Journal of Plant Biochemistry and Biotechnology. 34(2). 514–525. 1 indexed citations

Kumar, Monu, et al.. (2024). Optimization for nutritional fortification of wheat–millet composite flour mixture by response surface methodology. Journal of Applied Biology & Biotechnology. 2 indexed citations

Krishnappa, Gopalareddy, Hanif Khan, Hari Krishna, et al.. (2023). Genome-Wide Association Study for Grain Protein, Thousand Kernel Weight, and Normalized Difference Vegetation Index in Bread Wheat (Triticum aestivum L.). Genes. 14(3). 637–637. 11 indexed citations

Kumar, Monu, Vinod Kumar Mishra, Ramesh Chand, et al.. (2023). NDVI and grain fill duration are important to be considered in breeding for terminal heat stress tolerance in wheat. Journal of Agronomy and Crop Science. 209(4). 489–501. 5 indexed citations

Aski, Muraleedhar S., Gyan P. Mishra, Monu Kumar, et al.. (2023). Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Vigna radiata (L.) R. Wilczek] using SNP markers. Frontiers in Nutrition. 10. 1099004–1099004. 9 indexed citations

Devate, Narayana Bhat, Hari Krishna, Shweta Singh, et al.. (2022). Genome-wide association mapping for component traits of drought and heat tolerance in wheat. Frontiers in Plant Science. 13. 943033–943033. 31 indexed citations

Krishnappa, Gopalareddy, Hanif Khan, Hari Krishna, et al.. (2022). Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study. Scientific Reports. 12(1). 12444–12444. 30 indexed citations

Khan, Hanif, Gopalareddy Krishnappa, Satish Kumar, et al.. (2022). Genome-wide association study for grain yield and component traits in bread wheat (Triticum aestivum L.). Frontiers in Genetics. 13. 982589–982589. 35 indexed citations

Kumar, Monu, et al.. (2019). Genetic Variation of Stomatal Traits in Four Tomato Hybrids and their Parental Lines. International Journal of Current Microbiology and Applied Sciences. 8(1). 1190–1195. 1 indexed citations

10.

Dey, S. S., S. Gopala Krishnan, Abhijit Kar, et al.. (2017). Heterosis and Combining Ability for Mineral Nutrients in Snowball Cauliflower (Brassica oleracea var. botrytis L.) Using Ogura Cytoplasmic Male Sterile Lines. Proceedings of the National Academy of Sciences India Section B Biological Sciences. 88(4). 1367–1376. 5 indexed citations

11.

Dadlani, Malavika, et al.. (2013). Biochemical Phenotyping of Soybean [Glycine max (L.) Merill] Genotypes to Establish the Role of Lipid Peroxidation and Antioxidant Enzymes in Seed Longevity. Agricultural Research. 2(2). 119–126. 15 indexed citations

12.

Martínez‐Andújar, Cristina, et al.. (2011). POST-TRANSCRIPTIONAL GENE REGULATION DURING SEED GERMINATION AND STAND ESTABLISHMENT. Acta Horticulturae. 53–59. 1 indexed citations

13.

Martin, Ruth C., Masashi Asahina, Po‐Pu Liu, et al.. (2010). The microRNA156 and microRNA172 gene regulation cascades at post-germinative stages inArabidopsis. Seed Science Research. 20(2). 79–87. 52 indexed citations

14.

Martin, Ruth C., Masashi Asahina, Po‐Pu Liu, et al.. (2010). The regulation of post-germinative transition from the cotyledon- to vegetative-leaf stages by microRNA-targeted SQUAMOSA PROMOTER-BINDING PROTEIN LIKE13 in Arabidopsis. Seed Science Research. 20(2). 89–96. 62 indexed citations

15.

Kumar, Monu, et al.. (2006). A rapid protocol to test genetic purity of pearl millet (Pennisetum glaucum) genotypes. The Indian Journal of Agricultural Sciences. 76(2). 120–121. 1 indexed citations

16.

Kumar, Monu, et al.. (2005). Characterization of pearl millet [Pennisetum glaucum (L.) R.Br.] genotypes by seedling anthocyanin pigmentation and seed characters. Seed Science and Technology. 33(1). 215–226. 5 indexed citations

17.

Kumar, Monu, et al.. (2005). Enhancement of synthetic seed conversion to seedlings in hybrid rice. Plant Cell Tissue and Organ Culture (PCTOC). 81(1). 97–100. 24 indexed citations

18.

Kumar, Monu, et al.. (2004). Seed esterase — a descriptor for characterization of pearl millet [Pennisetum glaucum (L.) R. Sr.] genotypes. Indian Journal of Genetics and Plant Breeding (The). 64(4). 267–270. 1 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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