Maya Kumari

780 total citations
24 papers, 510 citations indexed

About

Maya Kumari is a scholar working on Plant Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Maya Kumari has authored 24 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 9 papers in Molecular Biology and 4 papers in Global and Planetary Change. Recurrent topics in Maya Kumari's work include Plant Stress Responses and Tolerance (5 papers), Seed Germination and Physiology (5 papers) and Plant tissue culture and regeneration (4 papers). Maya Kumari is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Seed Germination and Physiology (5 papers) and Plant tissue culture and regeneration (4 papers). Maya Kumari collaborates with scholars based in India, Germany and Egypt. Maya Kumari's co-authors include Zakwan Ahmed, Arun Kumar Joshi, Ramesh Namdeo Pudake, Marion S. Röder, V. P. Singh, Rajneesh Paliwal, Sundeep Kumar, Uttam Kumar, Vikas Yadav Patade and Sanjay Mohan Gupta and has published in prestigious journals such as Scientific Reports, Euphytica and Environmental Geochemistry and Health.

In The Last Decade

Maya Kumari

23 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Kumari India 10 433 105 96 48 41 24 510
Konstantin A. Shestibratov Russia 11 276 0.6× 162 1.5× 42 0.4× 63 1.3× 24 0.6× 46 412
Zhanyuan Lu China 11 372 0.9× 115 1.1× 76 0.8× 88 1.8× 39 1.0× 44 454
Sai Zhang China 5 409 0.9× 160 1.5× 91 0.9× 31 0.6× 104 2.5× 16 557
Rajesh Kalladan Germany 7 659 1.5× 257 2.4× 54 0.6× 75 1.6× 36 0.9× 7 745
Ranjita Sinha United States 15 547 1.3× 148 1.4× 45 0.5× 21 0.4× 45 1.1× 22 661
Guillermo A. A. Dosio Argentina 13 508 1.2× 171 1.6× 96 1.0× 17 0.4× 21 0.5× 22 576
Sailaja Bhogireddy India 6 568 1.3× 155 1.5× 114 1.2× 32 0.7× 29 0.7× 6 656
Maren E. Veatch‐Blohm United States 9 369 0.9× 107 1.0× 36 0.4× 66 1.4× 34 0.8× 22 472
Sandra Patussi Brammer Brazil 10 585 1.4× 139 1.3× 82 0.9× 43 0.9× 28 0.7× 44 649

Countries citing papers authored by Maya Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Maya Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Kumari. A scholar is included among the top collaborators of Maya Kumari 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 Maya Kumari. Maya Kumari 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.
Kumari, Maya, et al.. (2025). Geospatial monitoring of environmental sustainability: A remote sensing-based approach for assessing mining-induced impacts in Eastern India. Results in Engineering. 26. 104692–104692. 3 indexed citations
2.
Kumari, Preeti, Rahul Kumar, Pavan Kumar, et al.. (2025). Seasonal patterns of air pollution in Delhi: interplay between meteorological conditions and emission sources. Environmental Geochemistry and Health. 47(5). 175–175. 1 indexed citations
3.
Joshi, Kamaldeep, Maya Kumari, Varun Narayan Mishra, Rajendra Prasad, & Mohamed Zhran. (2025). Geoinformatics based evaluation of heat mitigation strategies through urban green spaces in a rapidly growing city of India: implications for urban resilience. Theoretical and Applied Climatology. 156(3). 5 indexed citations
4.
Mishra, Varun Narayan, et al.. (2024). Spatially explicit simulation and forecasting of urban growth using weights of evidence based cellular automata model in a millennium city of India. Physics and Chemistry of the Earth Parts A/B/C. 136. 103739–103739. 8 indexed citations
5.
Pudake, Ramesh Namdeo, et al.. (2023). Millet Rhizosphere. 1 indexed citations
6.
Pudake, Ramesh Namdeo, Binod Bihari Sahu, Maya Kumari, & Anil Kumar Sharma. (2021). Omics Science for Rhizosphere Biology. 5 indexed citations
7.
Dey, Prajjal, Maya Kumari, Ralf Oelmüller, et al.. (2020). An endophyte from salt-adapted Pokkali rice confers salt-tolerance to a salt-sensitive rice variety and targets a unique pattern of genes in its new host. Scientific Reports. 10(1). 3237–3237. 74 indexed citations
8.
Kumari, Maya, et al.. (2016). Biochemical and physiological analysis of zinc tolerance in Jatropha curcas.. Journal of Experimental Biology and Agricultural Sciences. 4(1). 7–15. 3 indexed citations
9.
Kumari, Maya, et al.. (2016). Biochemical and physiological analysis of zinc tolerance in Jatropha curca. Journal of Experimental Biology and Agricultural Sciences. 4(1). 7–15. 1 indexed citations
10.
Patade, Vikas Yadav, et al.. (2014). RNAi Mediated curcin precursor gene silencing in Jatropha (Jatropha curcas L.). Molecular Biology Reports. 41(7). 4305–4312. 10 indexed citations
11.
Patade, Vikas Yadav, et al.. (2014). Simple, Efficient and High-Throughput Method for Transgenic Confirmation. National Academy Science Letters. 37(1). 87–90. 1 indexed citations
12.
Grover, Atul, Maya Kumari, Sadhana Singh, et al.. (2013). Analysis of Jatropha curcas transcriptome for oil enhancement and genic markers. Physiology and Molecular Biology of Plants. 20(1). 139–142. 12 indexed citations
14.
Kumari, Maya, Ramesh Namdeo Pudake, & V. P. Singh. (2012). Identification of microsatellite markers associated with staygreen trait in wheat RILs. Indian Journal of Genetics and Plant Breeding (The). 72(4). 415–420. 1 indexed citations
15.
Kumari, Maya, Ramesh Namdeo Pudake, V. P. Singh, & Arun Kumar Joshi. (2012). Association of staygreen trait with canopy temperature depression and yield traits under terminal heat stress in wheat (Triticum aestivum L.). Euphytica. 190(1). 87–97. 64 indexed citations
16.
Patade, Vikas Yadav, et al.. (2012). Cold tolerance in thiourea primed capsicum seedlings is associated with transcript regulation of stress responsive genes. Molecular Biology Reports. 39(12). 10603–10613. 20 indexed citations
17.
Kumari, Maya, et al.. (2012). Chemical Seed Priming as an Efficient Approach for Developing Cold Tolerance in Jatropha. Journal of Crop Improvement. 26(1). 140–149. 10 indexed citations
18.
Yadav, Priya, Maya Kumari, & Zakwan Ahmed. (2011). Occurrence of vivipary in Capsicum annuum L. cv. California Wonder. Current Science. 100(8). 2 indexed citations
19.
Kumari, Maya, Vikas Yadav Patade, Mohammad Arif, & Zakwan Ahmed. (2010). Effect of IBA on seed germination, sprouting and rooting in cuttings for mass propagation of Jatropha curcus L strain DARL-2.. Research Journal of Agriculture and Biological Sciences. 6(6). 691–696. 7 indexed citations
20.
Kumar, Uttam, Arun Kumar Joshi, Maya Kumari, et al.. (2010). Identification of QTLs for stay green trait in wheat (Triticum aestivum L.) in the ‘Chirya 3’ × ‘Sonalika’ population. Euphytica. 174(3). 437–445. 96 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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