E. Lamalakshmi Devi

687 total citations
27 papers, 285 citations indexed

About

E. Lamalakshmi Devi is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, E. Lamalakshmi Devi has authored 27 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 9 papers in Genetics and 7 papers in Soil Science. Recurrent topics in E. Lamalakshmi Devi's work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetics and Plant Breeding (8 papers) and Rice Cultivation and Yield Improvement (6 papers). E. Lamalakshmi Devi is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetics and Plant Breeding (8 papers) and Rice Cultivation and Yield Improvement (6 papers). E. Lamalakshmi Devi collaborates with scholars based in India and Pakistan. E. Lamalakshmi Devi's co-authors include Vignesh Muthusamy, Rajkumar U. Zunjare, Rashmi Chhabra, Sunil Kumar Chongtham, Firoz Hossain, Ingudam Bhupenchandra, Sunil K. Jaiswal, Anil K. Choudhary, Adarsh Kumar and Manas Ranjan Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

E. Lamalakshmi Devi

20 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Lamalakshmi Devi India 10 224 66 43 37 31 27 285
Javed Iqbal Pakistan 10 215 1.0× 55 0.8× 44 1.0× 20 0.5× 33 1.1× 35 290
Masoud Esfahani Iran 10 367 1.6× 38 0.6× 44 1.0× 19 0.5× 37 1.2× 43 440
Seema Sheoran India 12 402 1.8× 55 0.8× 76 1.8× 91 2.5× 52 1.7× 20 510
B. Zayed Egypt 8 255 1.1× 70 1.1× 34 0.8× 14 0.4× 11 0.4× 27 306
Yanhua Zeng China 9 201 0.9× 87 1.3× 43 1.0× 26 0.7× 35 1.1× 18 277
Suong Cu Australia 8 239 1.1× 62 0.9× 92 2.1× 46 1.2× 11 0.4× 14 272
C. P. Singh India 9 204 0.9× 65 1.0× 58 1.3× 15 0.4× 25 0.8× 49 290
Rajeev Kumar India 9 264 1.2× 23 0.3× 58 1.3× 40 1.1× 49 1.6× 51 355
Cuicui You China 9 265 1.2× 35 0.5× 58 1.3× 31 0.8× 27 0.9× 21 296
Xiaofang Yu China 11 197 0.9× 80 1.2× 137 3.2× 33 0.9× 21 0.7× 31 291

Countries citing papers authored by E. Lamalakshmi Devi

Since Specialization
Citations

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

Fields of papers citing papers by E. Lamalakshmi Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Lamalakshmi Devi. 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 E. Lamalakshmi Devi. The network helps show where E. Lamalakshmi Devi may publish in the future.

Co-authorship network of co-authors of E. Lamalakshmi Devi

This figure shows the co-authorship network connecting the top 25 collaborators of E. Lamalakshmi Devi. A scholar is included among the top collaborators of E. Lamalakshmi Devi 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 E. Lamalakshmi Devi. E. Lamalakshmi Devi 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.
Chhabra, Rashmi, Vignesh Muthusamy, Suman Dutta, et al.. (2025). Molecular delineation and haplotype analysis of domain membrane protein (DMP) gene influencing in-vivo haploid induction in maize. Scientific Reports. 15(1). 7697–7697. 1 indexed citations
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Muthusamy, Vignesh, Rashmi Chhabra, Suman Dutta, et al.. (2025). Accelerated development of MTL and DMP gene-based subtropically-adapted maternal haploid inducer lines in maize using molecular breeding. Planta. 262(4). 88–88.
4.
Hossain, Firoz, Rajkumar U. Zunjare, Rashmi Chhabra, et al.. (2025). Genomics-assisted stacking of waxy1, opaque2, and crtRB1 genes for enhancing amylopectin in biofortified maize for industrial utilization and nutritional security. Functional & Integrative Genomics. 25(1). 18–18. 4 indexed citations
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Dutta, Suman, Rashmi Chhabra, Vignesh Muthusamy, et al.. (2024). Allelic variation and haplotype diversity of Matrilineal (MTL) gene governing in vivo maternal haploid induction in maize. Physiology and Molecular Biology of Plants. 30(5). 823–838. 3 indexed citations
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Devi, E. Lamalakshmi, Umakanta Ngangkham, Sunil Kumar Chongtham, et al.. (2023). Genetic diversity and population structure analysis in early generations maize inbreds derived from local germplasm of Eastern Himalayan regions using microsatellite markers. Plant Genetic Resources. 21(5). 418–425. 1 indexed citations
10.
Dutta, Sudip Kumar, Jayanta Layek, Ashish Yadav, et al.. (2023). Improvement of rooting and growth in kiwifruit (Actinidia deliciosa) cuttings with organic biostimulants. Heliyon. 9(7). e17815–e17815. 17 indexed citations
11.
Chongtham, Sunil Kumar, E. Lamalakshmi Devi, Kajal Samantara, et al.. (2022). Orphan legumes: harnessing their potential for food, nutritional and health security through genetic approaches. Planta. 256(2). 24–24. 12 indexed citations
12.
Bhupenchandra, Ingudam, Sunil Kumar Chongtham, E. Lamalakshmi Devi, et al.. (2022). Role of biostimulants in mitigating the effects of climate change on crop performance. Frontiers in Plant Science. 13. 967665–967665. 76 indexed citations
13.
Choudhary, Anil K., Ingudam Bhupenchandra, Anchal Dass, et al.. (2022). Double zero-tillage and foliar-P nutrition coupled with bio-inoculants enhance physiological photosynthetic characteristics and resilience to nutritional and environmental stresses in maize–wheat rotation. Frontiers in Plant Science. 13. 959541–959541. 26 indexed citations
14.
Chhabra, Rashmi, Rajkumar U. Zunjare, Suman Dutta, et al.. (2022). Variation in anthocyanin pigmentation by R1-navajo gene, development and validation of breeder-friendly markers specific to C1-Inhibitor locus for in-vivo haploid production in maize. Molecular Biology Reports. 50(3). 2221–2229. 17 indexed citations
15.
Bhupenchandra, Ingudam, Sunil Kumar Chongtham, Anup Das, et al.. (2022). Changes in soil properties, productivity and profitability as influenced by the adoption of site-specific integrated crop management technology in turmeric (Curcuma longa L.) in Eastern Himalayan acidic Inceptisol. Industrial Crops and Products. 180. 114745–114745. 8 indexed citations
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Kumar, Sudhir, E. Lamalakshmi Devi, N. B. Prakash, et al.. (2017). Rice breeding strategies of North Eastern India for resilience to biotic and abiotic stresses: A review. ORYZA- An International Journal on Rice. 54(1). 1–12. 6 indexed citations
18.
Devi, E. Lamalakshmi, Firoz Hossain, Vignesh Muthusamy, et al.. (2017). Microsatellite marker-based characterization of waxy maize inbreds for their utilization in hybrid breeding. 3 Biotech. 7(5). 316–316. 27 indexed citations
19.
Devi, E. Lamalakshmi, et al.. (2015). Genetic variability studies for yield and contributing traits under two plant densities and molecular diversity analysis in maize (Zea mays L).. Maydica. 60(4). 1 indexed citations
20.
Mahapatra, B. S., Ingudam Bhupenchandra, Ashwani Kumar, et al.. (2001). Aerobic Rice and its significant perspective for sustainable crop production. Indian Journal of Agronomy. 66(4). 383–392. 6 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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