M. Maheswari

1.4k total citations
37 papers, 905 citations indexed

About

M. Maheswari is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, M. Maheswari has authored 37 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 8 papers in Molecular Biology and 7 papers in Agronomy and Crop Science. Recurrent topics in M. Maheswari's work include Plant Stress Responses and Tolerance (10 papers), Plant Genetic and Mutation Studies (9 papers) and Agricultural pest management studies (7 papers). M. Maheswari is often cited by papers focused on Plant Stress Responses and Tolerance (10 papers), Plant Genetic and Mutation Studies (9 papers) and Agricultural pest management studies (7 papers). M. Maheswari collaborates with scholars based in India and United States. M. Maheswari's co-authors include Arun K. Shanker, S. K. Yadav, Divya Bhanu, B. Venkateswarlu, Suseelendra Desai, Girish Kumar Rasineni, A. Ramachandra Reddy, P. S. Reddy, P. B. Kavi Kishor and Rajeev K. Varshney and has published in prestigious journals such as Frontiers in Plant Science, Environmental and Experimental Botany and Plant Physiology and Biochemistry.

In The Last Decade

M. Maheswari

36 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Maheswari India 14 778 230 115 51 50 37 905
Junjiang Wu China 20 1.1k 1.4× 323 1.4× 101 0.9× 84 1.6× 32 0.6× 45 1.2k
Christy M. Motes United States 14 964 1.2× 355 1.5× 67 0.6× 61 1.2× 29 0.6× 14 1.1k
Agnès Massonneau France 12 881 1.1× 321 1.4× 71 0.6× 64 1.3× 16 0.3× 13 985
Jianming Fu United States 16 712 0.9× 325 1.4× 128 1.1× 13 0.3× 47 0.9× 26 853
Т.Н. Архипова Russia 9 777 1.0× 185 0.8× 66 0.6× 64 1.3× 36 0.7× 26 859
Amarjit S. Basra India 17 958 1.2× 360 1.6× 57 0.5× 49 1.0× 53 1.1× 45 1.1k
Shiro Mitsuya Japan 21 1.0k 1.3× 345 1.5× 45 0.4× 62 1.2× 29 0.6× 53 1.2k
M. Vanaja India 16 589 0.8× 108 0.5× 105 0.9× 82 1.6× 75 1.5× 85 724
Alexander B. Zwart Australia 12 566 0.7× 118 0.5× 157 1.4× 73 1.4× 55 1.1× 24 724
Irina Vaseva Bulgaria 17 881 1.1× 340 1.5× 84 0.7× 20 0.4× 53 1.1× 46 1.0k

Countries citing papers authored by M. Maheswari

Since Specialization
Citations

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

Fields of papers citing papers by M. Maheswari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Maheswari

This figure shows the co-authorship network connecting the top 25 collaborators of M. Maheswari. A scholar is included among the top collaborators of M. Maheswari 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 M. Maheswari. M. Maheswari 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.
Prabhakar, Mathyam, et al.. (2023). Mapping of QTLs for morphophysiological and yield traits under water-deficit stress and well-watered conditions in maize. Frontiers in Plant Science. 14. 1124619–1124619. 9 indexed citations
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Vanaja, M., N. Jyothi Lakshmi, M. Prabhakar, et al.. (2022). Stress Reactions of Maize Genotypes to Drought Stress at Different Phenophases and Recovery. Russian Journal of Plant Physiology. 69(3). 4 indexed citations
5.
Maheswari, M., Sushil Kumar Yadav, T. Vijayalakshmi, et al.. (2021). Tolerance mechanisms in maize identified through phenotyping and transcriptome analysis in response to water deficit stress. Physiology and Molecular Biology of Plants. 27(6). 1377–1394. 5 indexed citations
6.
Shanker, Arun K., Divya Bhanu, & M. Maheswari. (2020). Epigenetics and transgenerational memory in plants under heat stress. Plant Physiology Reports. 25(4). 583–593. 18 indexed citations
7.
Maheswari, M., et al.. (2017). Genetic Diversity among Pigeonpea (Cajanus cajan L. Millsp.) Genotypes Using Genic SSRs with Putative Function for Drought Tolerance. International Journal of Current Microbiology and Applied Sciences. 6(4). 1804–1814. 6 indexed citations
8.
Bodhankar, Shrey, Minakshi Grover, Gopal Reddy, et al.. (2017). Maize seed endophytic bacteria: dominance of antagonistic, lytic enzyme-producing Bacillus spp.. 3 Biotech. 7(4). 232–232. 64 indexed citations
9.
Reddy, L. Ananda, et al.. (2015). In planta transformation of sorghum (Sorghum bicolor (L.) Moench) using TPS1 gene for enhancing tolerance to abiotic stresses. Journal of Genetics. 94(3). 425–434. 18 indexed citations
10.
Reddy, P. S., Girish Kumar Rasineni, M. Maheswari, et al.. (2015). Proline over-accumulation alleviates salt stress and protects photosynthetic and antioxidant enzyme activities in transgenic sorghum [Sorghum bicolor (L.) Moench]. Plant Physiology and Biochemistry. 94. 104–113. 191 indexed citations
11.
Vanaja, M., M. Maheswari, N. Jyothi Lakshmi, et al.. (2015). Genotypic variability in physiological, biomass and yield response to drought stress in pigeonpea. Physiology and Molecular Biology of Plants. 21(4). 541–549. 6 indexed citations
12.
Shanker, Arun K., M. Maheswari, S. K. Yadav, et al.. (2014). Drought stress responses in crops. Functional & Integrative Genomics. 14(1). 11–22. 172 indexed citations
13.
Vennila, S., et al.. (2014). Estimation of number of generations of Spodoptera litura Fab. on peanut in India during near and distant future climate change scenarios. Scientific Research and Essays. 9(7). 195–203. 6 indexed citations
14.
Vijayalakshmi, T., et al.. (2012). Physiological and Biochemical Basis of Water-Deficit Stress Tolerance in Pearl Millet Hybrid and Parents. American Journal of Plant Sciences. 3(12). 1730–1740. 25 indexed citations
15.
Yadav, Sushil, et al.. (2012). Optimization of Agrobacterium mediated genetic transformation of cotyledonary node explants of Vigna radiata. SpringerPlus. 1(1). 59–59. 30 indexed citations
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Maheswari, M., et al.. (2010). Osmotic adjustment, drought tolerance and yield in castor (Ricinus communis L.) hybrids. Environmental and Experimental Botany. 69(3). 243–249. 117 indexed citations
18.
Nagarajan, S., Jagadish Rane, M. Maheswari, & P. N. Gambhir. (1999). Effect of Post‐Anthesis Water Stress on Accumulation of Dry Matter, Carbon and Nitrogen and Their Partitioning in Wheat Varieties Differing in Drought Tolerance. Journal of Agronomy and Crop Science. 183(2). 129–136. 20 indexed citations
19.
Subramanian, V. Bala & M. Maheswari. (1990). Stomatal conductance, photosynthesis and transpiration in green gram during, and after relief of, water stress.. Indian Journal of Experimental Biology. 28(6). 542–544. 3 indexed citations
20.
Subramanian, V. Bala & M. Maheswari. (1990). Physiological responses of groundnut to water stress.. Indian Journal of Plant Physiology. 33(2). 130–135. 11 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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