M.T. Vinayan

1.2k total citations · 1 hit paper
30 papers, 538 citations indexed

About

M.T. Vinayan is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, M.T. Vinayan has authored 30 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 15 papers in Agronomy and Crop Science and 15 papers in Genetics. Recurrent topics in M.T. Vinayan's work include Genetics and Plant Breeding (23 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Crop Yield and Soil Fertility (14 papers). M.T. Vinayan is often cited by papers focused on Genetics and Plant Breeding (23 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Crop Yield and Soil Fertility (14 papers). M.T. Vinayan collaborates with scholars based in India, Mexico and Nigeria. M.T. Vinayan's co-authors include P.H. Zaidi, K. Seetharam, Michael Blümmel, J. P. Shahi, Raman Babu, B. Vivek, Kumari Shikha, Zerka Rashid, Sudha Nair and Jill E. Cairns and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

M.T. Vinayan

30 papers receiving 523 citations

Hit Papers

Beat the stress: breeding for climate resilience in maize... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.T. Vinayan India 12 463 228 174 43 38 30 538
J. Gethi Kenya 13 592 1.3× 280 1.2× 217 1.2× 59 1.4× 53 1.4× 17 687
João Cândido de Souza Brazil 14 530 1.1× 170 0.7× 213 1.2× 43 1.0× 20 0.5× 57 580
Volmir Sérgio Marchioro Brazil 13 787 1.7× 177 0.8× 259 1.5× 39 0.9× 33 0.9× 101 837
Fatih Özdemir Türkiye 10 566 1.2× 134 0.6× 186 1.1× 33 0.8× 30 0.8× 24 633
Dagnachew Lule Ethiopia 13 379 0.8× 179 0.8× 180 1.0× 18 0.4× 36 0.9× 48 501
Reza Haghparast Iran 12 599 1.3× 146 0.6× 205 1.2× 30 0.7× 40 1.1× 39 664
Ashok Kumar Are India 7 340 0.7× 122 0.5× 116 0.7× 44 1.0× 22 0.6× 11 409
Zakaria Kehel Morocco 15 605 1.3× 218 1.0× 149 0.9× 52 1.2× 16 0.4× 58 674
Cristiano Lemes da Silva Brazil 12 483 1.0× 144 0.6× 243 1.4× 19 0.4× 12 0.3× 21 529
Pichet Grudloyma United States 8 582 1.3× 400 1.8× 153 0.9× 31 0.7× 24 0.6× 9 655

Countries citing papers authored by M.T. Vinayan

Since Specialization
Citations

This map shows the geographic impact of M.T. Vinayan'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.T. Vinayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Vinayan more than expected).

Fields of papers citing papers by M.T. Vinayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.T. Vinayan

This figure shows the co-authorship network connecting the top 25 collaborators of M.T. Vinayan. A scholar is included among the top collaborators of M.T. Vinayan 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.T. Vinayan. M.T. Vinayan 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.
Zaidi, P.H., K. Seetharam, M.T. Vinayan, et al.. (2022). Contribution of root system architecture and function in the performance of tropical maize (Zea mays L.) genotypes under different moisture regimes. Australian Journal of Crop Science. 809–818. 2 indexed citations
2.
Prasanna, B. M., Jill E. Cairns, P.H. Zaidi, et al.. (2021). Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments. Theoretical and Applied Genetics. 134(6). 1729–1752. 131 indexed citations breakdown →
3.
Vinayan, M.T., K. Seetharam, Raman Babu, et al.. (2021). Genome wide association study and genomic prediction for stover quality traits in tropical maize (Zea mays L.). Scientific Reports. 11(1). 686–686. 11 indexed citations
4.
Shikha, Kumari, et al.. (2021). Genome-wide association mapping in maize: status and prospects. 3 Biotech. 11(5). 244–244. 29 indexed citations
5.
Shahi, J. P., et al.. (2021). Genotype × environment interaction and selection of maize (Zea mays L.) hybrids across moisture regimes. Field Crops Research. 270. 108224–108224. 77 indexed citations
6.
Dung, Do Van, et al.. (2020). Studies on applying SNP markers to breeding drought-tolerant maize hybrids. SHILAP Revista de lepidopterología. 62(1). 55–61. 1 indexed citations
7.
Zaidi, P.H., et al.. (2020). Genetic Gain in Testcrosses Derived from Heat Tolerant Multi-parental Synthetic Populations of Maize. International Journal of Current Microbiology and Applied Sciences. 9(1). 2195–2205. 2 indexed citations
8.
Kuchanur, P. H., et al.. (2019). Stability analysis of stress-resilient maize (Zea mays L.) hybrids across stressed and non-stressed environments. 2 indexed citations
9.
Kuchanur, P. H., et al.. (2018). Genetic Analysis of Heat Adaptive Traits in Tropical Maize (Zea mays L.). International Journal of Current Microbiology and Applied Sciences. 7(1). 3237–3246. 4 indexed citations
10.
Kuchanur, P. H., et al.. (2017). Combining ability and heterosis for heat stress tolerance in maize (Zea mays L.).. Journal of Farm Sciences. 30(3). 326–333. 4 indexed citations
11.
Mir, Z., P. K. Singh, P.H. Zaidi, et al.. (2017). Genetic analysis of resistance to post flowering stalk rot in tropical germplasm of maize ( Zea mays L.). Crop Protection. 106. 42–49. 14 indexed citations
12.
Kuchanur, P. H., et al.. (2017). Association and path analysis for grain yield and its attributing traits under heat stress condition in tropical maize (Zea mays L.). Electronic Journal of Plant Breeding. 8(1). 336–336. 8 indexed citations
13.
Zaidi, P.H., K. Seetharam, L. Krishnamurthy, et al.. (2016). Genomic Regions Associated with Root Traits under Drought Stress in Tropical Maize (Zea mays L.). PLoS ONE. 11(10). e0164340–e0164340. 55 indexed citations
14.
Zaidi, P.H., et al.. (2016). Line x testers analysis of tropical maize inbred lines under heat stress for grain yield and secondary traits. Maydica. 61(1). 4. 7 indexed citations
15.
Vinayan, M.T., et al.. (2016). Epistasis is an important genetic basis of grain size inpearl millet. International journal of applied research. 2(7). 16–24. 1 indexed citations
16.
Zaidi, P.H., Mainassara Zaman‐Allah, Samuel Trachsel, et al.. (2016). Phenotyping for Abiotic Stress Tolerance in Maize : Heat Stress. A field manual. CIMMYT eBooks. 15 indexed citations
17.
Zaidi, P.H., M.T. Vinayan, & K. Seetharam. (2016). Phenotyping for Abiotic Stress Tolerance in Maize : Waterlogging Stress. A field manual. 10 indexed citations
18.
Rashid, Zerka, et al.. (2012). Downy mildew resistance in maize (Zea mays L.) across Peronosclerospora species in lowland tropical Asia. Crop Protection. 43. 183–191. 19 indexed citations
19.
Zaidi, P.H., M.T. Vinayan, & Michael Blümmel. (2012). Genetic variability of tropical maize stover quality and the potential for genetic improvement of food-feed value in India. Field Crops Research. 153. 94–101. 27 indexed citations
20.
Vinayan, M.T., et al.. (2010). Relative efficiency of biparental mating, single capsule descent, selected bulk and random bulk selections in sesame (Sesamum indicum L.). Electronic Journal of Plant Breeding. 1(4). 666–674. 2 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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