Abhijit Kumar Das

492 total citations
40 papers, 300 citations indexed

About

Abhijit Kumar Das is a scholar working on Plant Science, Genetics and Biochemistry. According to data from OpenAlex, Abhijit Kumar Das has authored 40 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 17 papers in Genetics and 9 papers in Biochemistry. Recurrent topics in Abhijit Kumar Das's work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Genetics and Plant Breeding (13 papers) and Antioxidant Activity and Oxidative Stress (9 papers). Abhijit Kumar Das is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (15 papers), Genetics and Plant Breeding (13 papers) and Antioxidant Activity and Oxidative Stress (9 papers). Abhijit Kumar Das collaborates with scholars based in India, United States and Canada. Abhijit Kumar Das's co-authors include Vignesh Muthusamy, Rajkumar U. Zunjare, Sujay Rakshit, Firoz Hossain, Supradip Saha, Hema S. Chauhan, Sukhdeep Kaur, Mukesh Choudhary, Aanchal Baveja and Jayant S. Bhat and has published in prestigious journals such as PLoS ONE, Soil Biology and Biochemistry and Frontiers in Plant Science.

In The Last Decade

Abhijit Kumar Das

33 papers receiving 288 citations

Peers

Abhijit Kumar Das

GENET

BIOCH

Vikas Khandelwal India

Julien Bonneau Australia

Yanting Zhong China

Jinghuan Zhu China

Natalija Kravić Serbia

Amit Kumar Goswami India

Liping Ran China

Anastasia Kargiotidou Greece

Ana Luísa Garcia‐Oliveira Nigeria

Neena Chawla India

Vikas Khandelwal India

Abhijit Kumar Das

241 ×1.1

61 ×0.7

GENET

9 ×0.1

BIOCH

54 ×1.0

45 ×1.0

Citations per year, relative to Abhijit Kumar Das Abhijit Kumar Das (= 1×) peers Vikas Khandelwal

Countries citing papers authored by Abhijit Kumar Das

Since Specialization

Citations

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

Fields of papers citing papers by Abhijit Kumar Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhijit Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Kumar Das. A scholar is included among the top collaborators of Abhijit Kumar Das 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 Abhijit Kumar Das. Abhijit Kumar Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ranjan, Rumesh, et al.. (2025). Breeding resilience: decoding waterlogging tolerance traits in maize. Cereal Research Communications. 54(1). 97–112.

Karjagi, Chikkappa G., et al.. (2025). Development of Low Phytate Maize (Zea mays) Inbred Lines Through Marker-Assisted Pyramiding of lpa1 and lpa2 Genes. Plant Molecular Biology Reporter. 43(3). 1262–1274.

Das, Abhijit Kumar, Arushi Arora, Bhupender Kumar, et al.. (2025). Characterization of Indian waxy and non-waxy maize germplasm for genetic differentiation through SNP genotyping. Molecular Genetics and Genomics. 300(1). 27–27.

Kumar, Ramesh, et al.. (2024). Unveiling Genotype × Environment Dynamics for Grain Yield in QPM Hybrids through AMMI, GGE Biplot, and MTSI approach. Indian Journal of Genetics and Plant Breeding (The). 84(3). 449–460.

Arora, Arushi, Abhijit Kumar Das, Ramesh Kumar, et al.. (2024). Development of high-yielding white maize hybrids with better chapatti-making quality compared to traditionally used local landraces. Frontiers in Nutrition. 11. 1330662–1330662.

Chauhan, Hema S., Rajkumar U. Zunjare, Vignesh Muthusamy, et al.. (2024). Enrichment of Vitamin A and Vitamin E in Sweet Corn Kernels Through Genomics-Assisted Introgression of Mutant Version of crtRB1 and vte4 Genes. Applied Biochemistry and Biotechnology. 197(3). 1889–1905. 1 indexed citations

Das, Abhijit Kumar, et al.. (2024). DUS-MAS: A Modified Marker-Assisted Backcross Breeding (MABB) Method for Higher Background Genome and DUS Trait Recovery. Plant Molecular Biology Reporter. 43(2). 543–558. 1 indexed citations

Das, Abhijit Kumar, et al.. (2023). Variability for kernel starch components in Indian maize germplasm and identification of polymorphic molecular marker for selected waxy maize genotypes. Cereal Research Communications. 52(3). 1093–1105. 3 indexed citations

Singh, Alla, Chikkappa G. Karjagi, Sonu Gupta, et al.. (2023). Characterization of phi112, a Molecular Marker Tightly Linked to the o2 Gene of Maize, and Its Utilization in Multiplex PCR for Differentiating Normal Maize from QPM. Genes. 14(2). 531–531.

10.

Kumar, Ramesh, et al.. (2023). Stability of maize hybrids under drought, rainfed and optimum field conditions revealed through GGE analysis. Indian Journal of Genetics and Plant Breeding (The). 83(4). 499–507.

11.

Kaur, Sukhdeep, Bhupender Kumar, Vishal Singh, Abhijit Kumar Das, & Sujay Rakshit. (2023). Genetic dissection of popping quality traits in tropical popcorn (Zea mays L. var. everta). Journal of Cereal Science. 112. 103700–103700. 3 indexed citations

12.

Hossain, Firoz, Sunil K. Jaiswal, Vignesh Muthusamy, et al.. (2023). Enhancement of nutritional quality in maize kernel through marker-assisted breeding for vte4, crtRB1, and opaque2 genes. Journal of Applied Genetics. 64(3). 431–443. 11 indexed citations

13.

Kaur, Navjot, Ramesh Kumar, Alla Singh, et al.. (2022). Improvement in nutritional quality of traditional unleavened flat bread using Quality Protein Maize. Frontiers in Nutrition. 9. 963368–963368. 6 indexed citations

14.

Kaur, Harmanjot, et al.. (2021). Time course evaluation of provitamin A carotenoids stored under different storage regimens in maize. 59(2). 79–87. 1 indexed citations

15.

Das, Abhijit Kumar, Dharam Paul Chaudhary, Chikkappa G. Karjagi, et al.. (2021). Identification of potential donor for pro-vitamin A using functional markers in maize (Zea mays L). Indian Journal of Genetics and Plant Breeding (The). 81(1). 50–55. 1 indexed citations

16.

Das, Abhijit Kumar, Vignesh Muthusamy, Rajkumar U. Zunjare, et al.. (2021). Development of Maize Hybrids With Enhanced Vitamin-E, Vitamin-A, Lysine, and Tryptophan Through Molecular Breeding. Frontiers in Plant Science. 12. 659381–659381. 25 indexed citations

17.

Kaur, Sukhdeep, Sujay Rakshit, Mukesh Choudhary, Abhijit Kumar Das, & Ranjeet Ranjan Kumar. (2021). Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.). PLoS ONE. 16(8). e0256389–e0256389. 23 indexed citations

18.

Das, Abhijit Kumar, et al.. (2019). Influence of planting time and spacing for growth and yield of garlic (Allium sativum L.). Journal of Pharmacognosy and Phytochemistry. 8(1). 1054–1056. 4 indexed citations

19.

Mukri, Ganapati, Ramesh Kumar, Bhupender Kumar, et al.. (2018). Strategic selection of white maize inbred lines for tropical adaptation and their utilization in developing stable, medium to long duration maize hybrids. Maydica. 63(2). 8. 4 indexed citations

20.

Singh, D. K., et al.. (2014). Exploitation of heterosis and combining ability for earliness and vegetative traits in ridge gourd [luffaacutangula(roxb.) L.]. International Journal of Agriculture Environment and Biotechnology. 8(1). 153–153. 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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