Arvind Kumar

14.8k total citations
308 papers, 9.1k citations indexed

About

Arvind Kumar is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, Arvind Kumar has authored 308 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Plant Science, 83 papers in Genetics and 39 papers in Soil Science. Recurrent topics in Arvind Kumar's work include Rice Cultivation and Yield Improvement (123 papers), Genetic Mapping and Diversity in Plants and Animals (81 papers) and GABA and Rice Research (55 papers). Arvind Kumar is often cited by papers focused on Rice Cultivation and Yield Improvement (123 papers), Genetic Mapping and Diversity in Plants and Animals (81 papers) and GABA and Rice Research (55 papers). Arvind Kumar collaborates with scholars based in India, Philippines and United States. Arvind Kumar's co-authors include Shalabh Dixit, G. N. Atlin, Jérôme Bernier, Nitika Sandhu, B. P. Mallikarjuna Swamy, Prashant Vikram, Ramaiah Venuprasad, Dean Spaner, Ma Teresa Sta. Cruz and Modesto Amante and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Arvind Kumar

276 papers receiving 8.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Kumar India 53 7.5k 2.8k 1.2k 617 536 308 9.1k
Brigitte Courtois France 53 6.7k 0.9× 2.5k 0.9× 1.1k 0.9× 460 0.7× 235 0.4× 198 8.0k
Luigi Cattivelli Italy 54 8.2k 1.1× 1.5k 0.6× 2.8k 2.3× 1.4k 2.3× 365 0.7× 219 9.8k
Hon‐Ming Lam Hong Kong 51 7.4k 1.0× 611 0.2× 3.3k 2.7× 570 0.9× 289 0.5× 215 9.8k
Nelson Marmiroli Italy 45 3.6k 0.5× 705 0.3× 2.5k 2.0× 379 0.6× 244 0.5× 218 7.3k
Erik Van Bockstaele Belgium 38 3.3k 0.4× 1.0k 0.4× 2.3k 1.9× 427 0.7× 184 0.3× 184 5.6k
Serge Savary France 35 5.5k 0.7× 434 0.2× 954 0.8× 409 0.7× 248 0.5× 126 7.0k
Germán Spangenberg Australia 44 4.2k 0.6× 1.1k 0.4× 2.8k 2.3× 689 1.1× 92 0.2× 268 6.7k
Jan E. Leach United States 61 11.6k 1.5× 896 0.3× 3.5k 2.9× 404 0.7× 399 0.7× 183 13.6k
Pamela C. Ronald United States 73 17.2k 2.3× 2.2k 0.8× 6.8k 5.6× 450 0.7× 145 0.3× 241 20.0k
Jim M. Dunwell United Kingdom 41 5.3k 0.7× 929 0.3× 4.0k 3.3× 348 0.6× 93 0.2× 179 8.0k

Countries citing papers authored by Arvind Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Kumar. A scholar is included among the top collaborators of Arvind 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 Arvind Kumar. Arvind 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.
Kumar, Ajay, Challa Venkateshwarlu, Sanjay Kalia, et al.. (2023). Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3,000 rice genome. Life Science Alliance. 7(3). e202302352–e202302352. 4 indexed citations
3.
Tyagi, Swati, Uma Maheshwar Singh, Ashutosh Rai, et al.. (2023). Codon Usage Provide Insights into the Adaptation of Rice Genes under Stress Condition. International Journal of Molecular Sciences. 24(2). 1098–1098. 12 indexed citations
4.
Kumar, Vipin, et al.. (2023). Production Technology Of Underexploited Vegetable Crops. 1 indexed citations
5.
Kumar, Arvind, et al.. (2022). Evaluation of forage berseem (Trifolium alexandrinum L.) for yield and nutritive qualities under varying seed rates and phosphorus fertilization. Indian Journal of Animal Nutrition. 39(2). 154–162. 3 indexed citations
6.
Kumar, Pankaj, et al.. (2022). Screening of field pea germplasms against their major insect pests of field pea. JOURNAL OF EXPERIMENTAL ZOOLOGY INDIA. 26(1). 121–124. 1 indexed citations
7.
Kumar, Krishna, et al.. (2021). Effect of FYM, bio fertilizers and inorganic manures on growth and yield of maize under irrigated conditions. Journal of Pharmacognosy and Phytochemistry. 10(1). 2851–2854. 1 indexed citations
8.
Kumar, Arvind, et al.. (2021). Effect of nitrogen rates on performance of mustard (Brassica juncea L.). Journal of Pharmacognosy and Phytochemistry. 10(1). 2847–2850. 3 indexed citations
9.
Sinha, Pallavi, Vikas Kumar Singh, Rachit K. Saxena, et al.. (2020). Superior haplotypes for haplotype‐based breeding for drought tolerance in pigeonpea (Cajanus cajan L.). Plant Biotechnology Journal. 18(12). 2482–2490. 73 indexed citations
10.
Sandhu, Nitika, Ram Baran Yadaw, K. M. Iftekharuddaula, et al.. (2019). Evaluating the Performance of Rice Genotypes for Improving Yield and Adaptability Under Direct Seeded Aerobic Cultivation Conditions. Frontiers in Plant Science. 10. 159–159. 22 indexed citations
11.
12.
Kumar, Arvind, et al.. (2015). Comparative Performance of Puddlers in Low Lands of Hilly Areas. 28(1). 1 indexed citations
13.
Sandhu, Nitika, Anshuman Singh, Shalabh Dixit, et al.. (2014). Identification and mapping of stable QTL with main and epistasis effect on rice grain yield under upland drought stress. BMC Genetics. 15(1). 63–63. 94 indexed citations
14.
Naresh, R.K., Baljit Singh, Arvind Kumar, & Satya Prakash. (2013). Role of Conservation Agriculture for Sustainable Horticultural Crop Production through Intercropping in North-West India. Annals of Horticulture. 6(1). 82–92. 2 indexed citations
15.
Kumar, Sudhir, et al.. (2013). Yield response of rice genotypes to reproductive stage drought adapted to drought prone rainfed lowland. ORYZA- An International Journal on Rice. 50(4). 344–350. 3 indexed citations
16.
Kumar, Arvind, et al.. (2012). Effect of nitrogen and manganese on yield and uptake of nutrients by oats (Avena sativa L.).. AN ASIAN JOURNAL OF SOIL SCIENCE. 7(1). 127–130. 1 indexed citations
17.
Zhao, Dule, et al.. (2011). Reactions of traditional upland and aerobic rice genotypes to rice root knot nematode (Meloidogyne graminicola). Journal of Plant Breeding and Crop Science. 3(7). 131–137. 7 indexed citations
18.
Kumar, Arvind, Tryambak Deo Singh, Santosh Kumar Singh, & Satya Prakash. (2009). Methods, potentials, and limitations of gene delivery to regenerate central nervous system cells. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Kumar, Arvind & J. S. Chauhan. (2005). Status and future thrust areas of rapeseed-mustard research in India. The Indian Journal of Agricultural Sciences. 75(10). 621–635. 11 indexed citations
20.
Jain, Abhinav, Ruvini Ariyadasa, Arvind Kumar, et al.. (2004). Tagging and mapping of a rice gall midge resistance gene, Gm8, and development of SCARs for use in marker-aided selection and gene pyramiding. Theoretical and Applied Genetics. 109(7). 1377–1384. 27 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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