M. Maheswaran

736 total citations
31 papers, 555 citations indexed

About

M. Maheswaran is a scholar working on Plant Science, Genetics and Insect Science. According to data from OpenAlex, M. Maheswaran has authored 31 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 13 papers in Genetics and 5 papers in Insect Science. Recurrent topics in M. Maheswaran's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetics and Plant Breeding (10 papers) and Rice Cultivation and Yield Improvement (9 papers). M. Maheswaran is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetics and Plant Breeding (10 papers) and Rice Cultivation and Yield Improvement (9 papers). M. Maheswaran collaborates with scholars based in India, Philippines and Singapore. M. Maheswaran's co-authors include S. Geethanjali, K. K. Vinod, Yu-Ting Huang, S. Nandi, Prasanta K. Subudhi, Arnold Parco, Daichang Yang, P. Kadirvel, P. Govindaraj and P. Malarvizhi and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

M. Maheswaran

27 papers receiving 487 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. Maheswaran India 11 486 303 84 64 29 31 555
Dharminder Bhatia India 14 718 1.5× 219 0.7× 134 1.6× 44 0.7× 21 0.7× 72 762
P. Rajendrakumar India 12 284 0.6× 152 0.5× 142 1.7× 21 0.3× 27 0.9× 26 391
N. Manikanda Boopathi India 11 526 1.1× 169 0.6× 59 0.7× 28 0.4× 56 1.9× 83 584
Lothar Frese Germany 11 332 0.7× 110 0.4× 84 1.0× 19 0.3× 15 0.5× 46 394
Katherine Houchins United States 11 537 1.1× 385 1.3× 192 2.3× 23 0.4× 37 1.3× 11 676
Ramesh Buyyarapu United States 5 482 1.0× 178 0.6× 154 1.8× 16 0.3× 32 1.1× 6 566
Hugues Barbier United States 8 565 1.2× 227 0.7× 157 1.9× 121 1.9× 49 1.7× 9 643
L. Kuntze Germany 7 527 1.1× 133 0.4× 152 1.8× 12 0.2× 31 1.1× 11 583
Rajat Aggarwal United States 10 481 1.0× 187 0.6× 185 2.2× 99 1.5× 23 0.8× 12 633

Countries citing papers authored by M. Maheswaran

Since Specialization
Citations

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

Fields of papers citing papers by M. Maheswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Maheswaran. A scholar is included among the top collaborators of M. Maheswaran 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. Maheswaran. M. Maheswaran 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.
Vanitha, J., et al.. (2023). Assessing Genetic Diversity and Population Structure of Rice Genotypes using ISSR Markers. Agricultural Science Digest - A Research Journal.
2.
Maheswaran, M., Michael Blümmel, P. Sumathi, et al.. (2021). Understanding Heterosis, Genetic Effects, and Genome Wide Associations for Forage Quantity and Quality Traits in Multi-Cut Pearl Millet. Frontiers in Plant Science. 12. 687859–687859. 5 indexed citations
3.
Mohan, S., et al.. (2017). Characterization of rice (Oryza sativa L.) landraces and cultivars using agro morphological traits. ORYZA- An International Journal on Rice. 54(1). 89–96. 1 indexed citations
4.
Maheswaran, M., et al.. (2014). Phenotypic Screening of Rice (Oryza sativa L.) Varieties for Brown Planthopper [Nilaparvata lugens (Stål)] Resistance. Indian Journal of Animal Nutrition. 7(16). 2257–2266. 2 indexed citations
5.
Maheswaran, M., et al.. (2013). M2 Generation Evaluation under Field Conditions for Quantitative Characters. Trends in Biosciences. 6(5). 693–696. 1 indexed citations
6.
Maheswaran, M., et al.. (2013). Induced Viable Mutation Studies in M2 Generations of Rathu Heenati and PTB33. Trends in Biosciences. 6(5). 526–528. 1 indexed citations
7.
Raguchander, T., et al.. (2013). Combining ability analysis and estimates of heterosis for grain yield and nutritional traits in finger millet (Eleusine coracana (L.) Geartn).. Madras Agricultural Journal. 100(2). 15–19.
8.
Maheswaran, M., et al.. (2013). Screening and Characterization of Marine Seaweeds and its Antimicrobial Potential against Fish Pathogens. International Journal of Fisheries and Aquatic Studies. 1(1). 1–13. 5 indexed citations
9.
10.
Suresh, S., et al.. (2011). Nature of plant resistance in recombinant inbred lines of Basmati370/ASD16 cross to rice brown planthopper (Nilaparvata lugens Stal.).. Annals of Plant Protection Sciences. 19(2). 261–265. 1 indexed citations
11.
Krishnasamy, V., et al.. (2010). Genetic diversity analysis of sugarcane (Saccharum sp.) clones using simple sequence repeat markers of sugarcane and rice.. Electronic Journal of Plant Breeding. 1(4). 517–526. 4 indexed citations
12.
Maheswaran, M., et al.. (2009). GENETIC DIVERSITY ANALYSIS OF MAIZE (ZEA MAYS L.) INBREDS DETERMINED WITH MORPHOMETRIC TRAITS AND SIMPLE SEQUENCE REPEAT MARKERS. Maydica. 54(1). 113–123. 14 indexed citations
13.
Senthilvel, S., K. K. Vinod, P. Malarvizhi, & M. Maheswaran. (2008). QTL and QTL × Environment Effects on Agronomic and Nitrogen Acquisition Traits in Rice. Journal of Integrative Plant Biology. 50(9). 1108–1117. 50 indexed citations
14.
Sangha, Jatinder S., Yolanda H. Chen, P. Kadirvel, et al.. (2008). Categories and Inheritance of Resistance to <I>Nilaparvata lugens</I> (Hemiptera: Delphacidae) in Mutants of Indica Rice ‘IR64’. Journal of Economic Entomology. 101(2). 575–583. 8 indexed citations
15.
Sangha, Jatinder S., et al.. (2008). Categories and Inheritance of Resistance to Nilaparvata lugens (Hemiptera: Delphacidae) in Mutants of Indica Rice 'IR64'. Journal of Economic Entomology. 101(2). 575–583. 1 indexed citations
16.
Venkatesan, T., et al.. (2007). Inheritance of anthocyanin pigmentation in rice (Oryza sativa L.).. PLANT ARCHIVES. 7(2). 549–552.
17.
18.
Geethanjali, S., et al.. (2003). Molecular Marker based Genetic Diversity Analysis in Rice (Oryza sativa L.) using RAPD and SSR markers. Euphytica. 133(2). 243–252. 112 indexed citations
19.
Kadirvel, P., et al.. (2003). Detection of simple sequence repeat markers associated with resistance to whitebacked planthopper, Sogatella furcifera (Horvath), in rice. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
20.
Maheswaran, M., Prasanta K. Subudhi, S. Nandi, et al.. (1997). Polymorphism, distribution, and segregation of AFLP markers in a doubled haploid rice population. Theoretical and Applied Genetics. 94(1). 39–45. 129 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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