K. Sakthivel

681 total citations
21 papers, 457 citations indexed

About

K. Sakthivel is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, K. Sakthivel has authored 21 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 9 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in K. Sakthivel's work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Rice Cultivation and Yield Improvement (6 papers) and GABA and Rice Research (5 papers). K. Sakthivel is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (8 papers), Rice Cultivation and Yield Improvement (6 papers) and GABA and Rice Research (5 papers). K. Sakthivel collaborates with scholars based in India and Canada. K. Sakthivel's co-authors include S. M. Balachandran, R. M. Sundaram, C. N. Neeraja, N. Shobha Rani, M. Sheshu Madhav, B. C. Viraktamath, G. Ramkumar, A. K. P. Sivaranjani, Manish K. Pandey and G. S. V. Prasad and has published in prestigious journals such as Biotechnology Advances, Frontiers in Plant Science and Scientia Horticulturae.

In The Last Decade

K. Sakthivel

15 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Sakthivel India 10 412 117 114 58 46 21 457
Soo-Kwon Park South Korea 14 479 1.2× 80 0.7× 125 1.1× 7 0.1× 11 0.2× 49 564
A. Mercuri Italy 11 200 0.5× 73 0.6× 171 1.5× 12 0.2× 36 0.8× 42 310
Aduragbemi Amo China 8 464 1.1× 107 0.9× 157 1.4× 10 0.2× 19 0.4× 12 548
Sung Cheol Koo South Korea 13 439 1.1× 24 0.2× 255 2.2× 8 0.1× 13 0.3× 34 503
Guillermo Raúl Pratta Argentina 12 416 1.0× 65 0.6× 270 2.4× 8 0.1× 8 0.2× 67 490
Habibollah Samizadeh Lahiji Iran 11 279 0.7× 86 0.7× 117 1.0× 5 0.1× 9 0.2× 43 364
Kyong-Cheul Park South Korea 14 360 0.9× 86 0.7× 173 1.5× 7 0.1× 7 0.2× 45 456
You‐Chun Song South Korea 14 394 1.0× 106 0.9× 44 0.4× 4 0.1× 8 0.2× 45 431
Backki Kim South Korea 14 360 0.9× 156 1.3× 158 1.4× 8 0.1× 24 0.5× 40 429

Countries citing papers authored by K. Sakthivel

Since Specialization
Citations

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

Fields of papers citing papers by K. Sakthivel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Sakthivel

This figure shows the co-authorship network connecting the top 25 collaborators of K. Sakthivel. A scholar is included among the top collaborators of K. Sakthivel 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 K. Sakthivel. K. Sakthivel 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.
Nagendran, K., Shweta Kumari, R. Vinoth Kumar, et al.. (2025). Prevalence of chilli leaf curl virus and tomato leaf curl New Delhi virus with chilli leaf curl disease in India. Physiology and Molecular Biology of Plants. 31(8). 1363–1374.
3.
Sakthivel, K., et al.. (2024). Characterization of Fusarium falciforme inciting wilt in peace lily (Spathiphyllum wallisii). Scientia Horticulturae. 339. 113834–113834. 1 indexed citations
4.
Sakthivel, K., et al.. (2024). Unlocking Climate Resilience Through Omics in Underutilized Small Millets. Tropical Plant Biology. 18(1).
5.
Sakthivel, K., et al.. (2021). Optimisation of plant tissue culture conditions in a popular semi-dwarf indica rice cultivar ADT 39 for effective Agrobacterium-mediated transformation. Electronic Journal of Plant Breeding. 12(3). 849–854. 1 indexed citations
6.
Arumugam, A., et al.. (2019). Genetic diversity of ash gourd (Benincasa hispida (Thunb) Cogn.) genotypes. Journal of Pharmacognosy and Phytochemistry. 8(6). 1513–1517.
7.
Kumar, Naresh, et al.. (2016). ANR 38 (IC0613963; INGR15014), a Rice (Oryza sativa L.) Germplasm with Open Florets. Indian Journal of Plant Genetic Resources. 29(2). 201–201.
8.
Gupta, Suresh K., et al.. (2016). Nitric Oxide Overproduction in Tomato shr Mutant Shifts Metabolic Profiles and Suppresses Fruit Growth and Ripening. Frontiers in Plant Science. 7. 1714–1714. 38 indexed citations
9.
Sakthivel, K., et al.. (2016). Genetics of wide compatible gene and variability studies in rice (Oryza sativa L.). Journal of Genetics. 95(2). 463–467. 8 indexed citations
10.
Sakthivel, K., et al.. (2014). Mangroves and associates in the estuaries of Tamil Nadu coast of India. International Journal of Marine Science. 3 indexed citations
11.
Ramkumar, G., et al.. (2011). Suitability of non-lethal marker and marker-free systems for development of transgenic crop plants: Present status and future prospects. Biotechnology Advances. 29(6). 703–714. 28 indexed citations
12.
Sakthivel, K., R. M. Sundaram, C. N. Neeraja, et al.. (2010). Allele mining in crops: Prospects and potentials. Biotechnology Advances. 28(4). 451–461. 91 indexed citations
13.
Sakthivel, K., et al.. (2010). Alterations in inheritance pattern and level of cytosine DNA methylation, and their relationship with heterosis in rice. Euphytica. 175(3). 303–314. 15 indexed citations
14.
Sundaram, R. M., K. Sakthivel, M. S. Ramesha, et al.. (2010). Development and validation of a PCR-based functional marker system for the major wide-compatible gene locus S5 in rice. Molecular Breeding. 26(4). 719–727. 19 indexed citations
15.
Ramkumar, G., A. K. P. Sivaranjani, Manish K. Pandey, et al.. (2010). Development of a PCR-based SNP marker system for effective selection of kernel length and kernel elongation in rice. Molecular Breeding. 26(4). 735–740. 40 indexed citations
16.
Sakthivel, K., R. M. Sundaram, N. Shobha Rani, S. M. Balachandran, & C. N. Neeraja. (2009). Genetic and molecular basis of fragrance in rice. Biotechnology Advances. 27(4). 468–473. 96 indexed citations
17.
Rajendrakumar, P., M. S. Ramesha, B. C. Viraktamath, et al.. (2009). Prediction of heterosis for grain yield in rice using ‘key’ informative EST-SSR markers. Plant Breeding. 129(1). 108–111. 20 indexed citations
18.
Sakthivel, K., N. Shobha Rani, Manish K. Pandey, et al.. (2009). Development of a simple functional marker for fragrance in rice and its validation in Indian Basmati and non-Basmati fragrant rice varieties. Molecular Breeding. 24(2). 185–190. 44 indexed citations
19.
Rajendrakumar, P., Akshaya Kumar Biswal, K. Sakthivel, et al.. (2009). Development and validation of class I SSR markers targeting (GATA) n repeat motifs in rice. Euphytica. 169(2). 263–271. 5 indexed citations
20.
Jayaraj, J., N.V. Radhakrishnan, Kannan R. R. Rengasamy, et al.. (2004). Development of new formulations ofBacillus subtilisfor management of tomato damping-off caused byPythium aphanidermatum. Biocontrol Science and Technology. 15(1). 55–65. 48 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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