S. Mukesh Sankar

1.2k total citations
40 papers, 604 citations indexed

About

S. Mukesh Sankar is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, S. Mukesh Sankar has authored 40 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 8 papers in Genetics and 7 papers in Soil Science. Recurrent topics in S. Mukesh Sankar's work include Genetics and Plant Breeding (18 papers), Rice Cultivation and Yield Improvement (12 papers) and Plant Micronutrient Interactions and Effects (10 papers). S. Mukesh Sankar is often cited by papers focused on Genetics and Plant Breeding (18 papers), Rice Cultivation and Yield Improvement (12 papers) and Plant Micronutrient Interactions and Effects (10 papers). S. Mukesh Sankar collaborates with scholars based in India, United States and Australia. S. Mukesh Sankar's co-authors include C. Tara Satyavathi, S. P. Singh, C. Bharadwaj, Tripti Singhal, N Anuradha, Nepolean Thirunavukkarasu, Mahesh Chand Meena, Rakesh K. Srivastava, Suneha Goswami and Shelly Praveen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

S. Mukesh Sankar

33 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Mukesh Sankar India 12 535 98 96 61 59 40 604
K. Hariprasanna India 11 425 0.8× 98 1.0× 95 1.0× 47 0.8× 56 0.9× 40 492
Sonia Sheoran India 15 564 1.1× 117 1.2× 159 1.7× 104 1.7× 43 0.7× 49 644
Vikas Khandelwal India 8 241 0.5× 55 0.6× 61 0.6× 54 0.9× 67 1.1× 43 335
Parviz Fasahat Iran 10 394 0.7× 81 0.8× 96 1.0× 30 0.5× 39 0.7× 27 460
Faruk Toklu Türkiye 14 492 0.9× 86 0.9× 61 0.6× 39 0.6× 43 0.7× 31 536
Tirthankar Bandyopadhyay India 10 324 0.6× 44 0.4× 84 0.9× 70 1.1× 55 0.9× 17 400
Sompong Chankaew Thailand 17 749 1.4× 91 0.9× 134 1.4× 79 1.3× 55 0.9× 81 857
Prakash Gangashetty India 13 350 0.7× 69 0.7× 80 0.8× 44 0.7× 56 0.9× 53 426
Nelzo C. Ereful Philippines 8 381 0.7× 152 1.6× 63 0.7× 88 1.4× 40 0.7× 14 482
Z. Stehno Czechia 12 444 0.8× 144 1.5× 128 1.3× 24 0.4× 53 0.9× 46 504

Countries citing papers authored by S. Mukesh Sankar

Since Specialization
Citations

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

Fields of papers citing papers by S. Mukesh Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Mukesh Sankar. 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 S. Mukesh Sankar. The network helps show where S. Mukesh Sankar may publish in the future.

Co-authorship network of co-authors of S. Mukesh Sankar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Mukesh Sankar. A scholar is included among the top collaborators of S. Mukesh Sankar 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 S. Mukesh Sankar. S. Mukesh Sankar 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.
Sankar, S. Mukesh, et al.. (2025). Computational prediction of cyclotides from Viola odorata as potential inhibitors against the neuraminidase of Streptococcus pneumoniae. Molecular Diversity. 30(1). 991–1002. 1 indexed citations
2.
Sankar, S. Mukesh, et al.. (2025). Exploring farmers’ indigenous knowledge associated with millet cultivation: a case study of Millet Village in Attappady, Kerala, India. Genetic Resources and Crop Evolution. 72(7). 7795–7819.
3.
Singhal, Tripti, C. Tara Satyavathi, Saurabh Singh, et al.. (2024). Identification of High-Performing and Stable Pearl Millet Genotypes Using Multi-trait Stability Index. Agricultural Research. 15(1). 92–104. 2 indexed citations
4.
5.
6.
Sankar, S. Mukesh, et al.. (2023). Decision support systems in agricultural industry perspective. International Journal of Statistics and Applied Mathematics. 8(2S). 29–31. 2 indexed citations
7.
Yadav, Sunaina, Sukhwinder Singh, Tripti Singhal, et al.. (2023). Genetic elucidations of grain iron, zinc and agronomic traits by generation mean analysis in pearl millet [Pennisetum glaucum (L.) R. Br.]. Journal of Cereal Science. 113. 103751–103751. 1 indexed citations
8.
Sankar, S. Mukesh, et al.. (2023). Investigation on the prevalence of chicken anaemia virus in poultry flocks of Kerala, India. SHILAP Revista de lepidopterología. 54(3).
9.
Sankar, S. Mukesh, et al.. (2022). Stability analysis of yield and yield related traits in ricebean [Vigna umbellata (Thunb.) Ohwi and Ohashi]. Indian Journal of Genetics and Plant Breeding (The). 82(2). 208–216. 4 indexed citations
10.
Chandra, Subhash, et al.. (2022). Genetics of fertility restoration for the A1 cytoplasmic genic male sterility system in pearl millet (Pennisetum glaucum (L.) R. Br.). Indian Journal of Genetics and Plant Breeding (The). 82(1). 65–72. 1 indexed citations
11.
Singhal, Tripti, C. Tara Satyavathi, S. P. Singh, et al.. (2022). Achieving nutritional security in India through iron and zinc biofortification in pearl millet (Pennisetum glaucum (L.) R. Br.). Physiology and Molecular Biology of Plants. 28(4). 849–869. 8 indexed citations
12.
Bharadwaj, C., B. S. Patil, S. Mukesh Sankar, et al.. (2022). Evaluation and Identification of Stable Chickpea Lines for Yield-Contributing Traits from an Association Mapping Panel. Agronomy. 12(12). 3115–3115. 5 indexed citations
13.
Singh, Saurabh, et al.. (2020). Inheritance of fertility restoration of A4 cytoplasm in pearl millet [Pennisetum glaucum (L.) R. Br.]. Indian Journal of Genetics and Plant Breeding (The). 80(1). 2 indexed citations
14.
Singhal, Tripti, S. P. Singh, S. Mukesh Sankar, et al.. (2019). Identification of new stable and high iron rich fertility restorers in pearl millet. Indian Journal of Genetics and Plant Breeding (The). 79(3). 2 indexed citations
15.
Anuradha, N, et al.. (2018). Pearl millet genetic variability for grain yield and micronutrients in the arid zone of India. Journal of Pharmacognosy and Phytochemistry. 7(1). 875–878. 10 indexed citations
16.
Anuradha, N, C. Tara Satyavathi, Mahesh Chand Meena, et al.. (2017). Evaluation of pearl millet [ Pennisetum glaucum (L.) R. Br.] for grain iron and zinc content in different agro climatic zones of India. Indian Journal of Genetics and Plant Breeding (The). 77(1). 65–65. 17 indexed citations
17.
Satyavathi, C. Tara, S. Mukesh Sankar, Sarman Singh, et al.. (2015). Stability analysis of grain iron and zinc content in pearl millet (Pennisetum glaucum (L.) R.Br.).. International journal of tropical agriculture. 33. 1387–1394. 6 indexed citations
18.
Sankar, S. Mukesh, et al.. (2013). Genetic Variability and Association Studies in Pearl Millet for Grain Yield and High Temperature Stress Tolerance. Indian Journal of Dryland Agricultural Research and Development. 28(2). 71–76. 4 indexed citations
19.
Sankar, S. Mukesh. (2001). Broadening the Genetic Base of Common Bean Cultivars. Crop Science. 41(6). 1659–1675. 232 indexed citations
20.
Sankar, S. Mukesh, et al.. (1990). Choice of location for bacterial blight evaluation in common bean. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 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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