Sinnakaruppan Mathavan

2.6k total citations
59 papers, 2.0k citations indexed

About

Sinnakaruppan Mathavan is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Sinnakaruppan Mathavan has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 17 papers in Genetics and 14 papers in Insect Science. Recurrent topics in Sinnakaruppan Mathavan's work include Insect Resistance and Genetics (9 papers), Insect Utilization and Effects (8 papers) and Epigenetics and DNA Methylation (8 papers). Sinnakaruppan Mathavan is often cited by papers focused on Insect Resistance and Genetics (9 papers), Insect Utilization and Effects (8 papers) and Epigenetics and DNA Methylation (8 papers). Sinnakaruppan Mathavan collaborates with scholars based in India, Singapore and Norway. Sinnakaruppan Mathavan's co-authors include Cecilia Lanny Winata, Zhiyuan Gong, Siew Hong Lam, Philippe Collas, T. J. Pandian, Peter Aleström, Vladimir Korzh, Håvard Aanes, Choong Yong Ung and Leif C. Lindeman and has published in prestigious journals such as PLoS ONE, Development and Scientific Reports.

In The Last Decade

Sinnakaruppan Mathavan

55 papers receiving 1.9k citations

Peers

Sinnakaruppan Mathavan
Ricard Albalat Spain
Luís Fernando Marins Brazil
Stéphanie Bertrand France
Hwei‐Jan Hsu Taiwan
Ronald D. Ley United States
Kazuyuki Hoshijima United States
Thomas A. Gorr Switzerland
Shoji Oda Japan
Geanette Lam United States
Montserrat Corominas Spain
Ricard Albalat Spain
Sinnakaruppan Mathavan
Citations per year, relative to Sinnakaruppan Mathavan Sinnakaruppan Mathavan (= 1×) peers Ricard Albalat

Countries citing papers authored by Sinnakaruppan Mathavan

Since Specialization
Citations

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

Fields of papers citing papers by Sinnakaruppan Mathavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sinnakaruppan Mathavan

This figure shows the co-authorship network connecting the top 25 collaborators of Sinnakaruppan Mathavan. A scholar is included among the top collaborators of Sinnakaruppan Mathavan 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 Sinnakaruppan Mathavan. Sinnakaruppan Mathavan 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.
Sen, Parveen, Muna Bhende, Vikas Khetan, et al.. (2023). Next-generation sequencing-based genetic testing and phenotype correlation in retinitis pigmentosa patients from India. Indian Journal of Ophthalmology. 71(6). 2512–2520. 2 indexed citations
2.
Subramaniam, Mohana Devi, Mahalaxmi Iyer, Dhivya Venkatesan, et al.. (2020). Oxidative stress and mitochondrial transfer: A new dimension towards ocular diseases. Genes & Diseases. 9(3). 610–637. 31 indexed citations
3.
Biswas, Pooja, Kari Branham, Shyamanga Borooah, et al.. (2018). IFT88 mutations identified in individuals with non-syndromic recessive retinal degeneration result in abnormal ciliogenesis. Human Genetics. 137(6-7). 447–458. 11 indexed citations
4.
Aanes, Håvard, Cecilia Lanny Winata, Oľga Østrup, et al.. (2014). Normalization of RNA-Sequencing Data from Samples with Varying mRNA Levels. PLoS ONE. 9(2). e89158–e89158. 37 indexed citations
5.
Pandian, T. J., et al.. (2013). EFFECTS OF TEMPERATURE AND LEAF RATION ON THE WATER BUDGET OF THE FINAL INSTAR LARVA OF DANAUS CHRYSIPPUS L. (LEPIDOPTERA DANIDAE). Monitore Zoologico Italiano-Italian Journal of Zoology.
6.
Lam, Siew Hong, Choong Yong Ung, Mya Myintzu Hlaing, et al.. (2013). Molecular insights into 4-nitrophenol-induced hepatotoxicity in zebrafish: Transcriptomic, histological and targeted gene expression analyses. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(10). 4778–4789. 39 indexed citations
7.
Aanes, Håvard, Oľga Østrup, Ingrid S. Andersen, et al.. (2013). Differential transcript isoform usage pre- and post-zygotic genome activation in zebrafish. BMC Genomics. 14(1). 331–331. 30 indexed citations
8.
Aanes, Håvard, Cecilia Lanny Winata, Chi Ho Lin, et al.. (2011). Zebrafish mRNA sequencing deciphers novelties in transcriptome dynamics during maternal to zygotic transition. Genome Research. 21(8). 1328–1338. 223 indexed citations
9.
Zhang, Xiaoyan, et al.. (2011). Liver X receptor agonist T0901317 induced liver perturbation in zebrafish: Histological, gene set enrichment and expression analyses. Biochimica et Biophysica Acta (BBA) - General Subjects. 1820(1). 33–43. 14 indexed citations
10.
Lam, Siew Hong, Chin‐Yo Lin, Jane S. Thomsen, et al.. (2011). Molecular conservation of estrogen-response associated with cell cycle regulation, hormonal carcinogenesis and cancer in zebrafish and human cancer cell lines. BMC Medical Genomics. 4(1). 41–41. 30 indexed citations
11.
Linder, Bastian, Jan Brocher, Sinnakaruppan Mathavan, et al.. (2010). Systemic splicing factor deficiency causes tissue-specific defects: a zebrafish model for retinitis pigmentosa†. Human Molecular Genetics. 20(2). 368–377. 52 indexed citations
12.
Ung, Choong Yong, Siew Hong Lam, Mya Myintzu Hlaing, et al.. (2010). Mercury-induced hepatotoxicity in zebrafish: in vivo mechanistic insights from transcriptome analysis, phenotype anchoring and targeted gene expression validation. BMC Genomics. 11(1). 212–212. 134 indexed citations
13.
Lindeman, Leif C., Andrew H. Reiner, Sinnakaruppan Mathavan, Peter Aleström, & Philippe Collas. (2010). Tiling Histone H3 Lysine 4 and 27 Methylation in Zebrafish Using High-Density Microarrays. PLoS ONE. 5(12). e15651–e15651. 23 indexed citations
14.
Mathavan, Sinnakaruppan, Lance D. Miller, K. R. K. Murthy, et al.. (2005). Transcriptome Analysis of Zebrafish Embryogenesis Using Microarrays. PLoS Genetics. 1(2). e29–e29. 263 indexed citations
15.
Yusuff, Shamila & Sinnakaruppan Mathavan. (2000). Sperm/DNA interaction: DNA binding proteins in sperm cell of silkwormBombyx mori. Molecular Reproduction and Development. 56(S2). 289–291. 5 indexed citations
16.
Chen, Xinwen, Wilfred F. J. IJkel, Paolo Marinho de Andrade Zanotto, et al.. (1999). Identification, sequence analysis and phylogeny of the lef-2 gene of Helicoverpa armigera single-nucleocapsid baculovirus. Virus Research. 65(1). 21–32. 31 indexed citations
17.
Mathavan, Sinnakaruppan, et al.. (1995). High-level production of human parathyroid hormone in Bombyx mori larvae and BmN cells using recombinant baculovirus. Gene. 167(1-2). 33–39. 8 indexed citations
18.
Mathavan, Sinnakaruppan, et al.. (1976). Use of feeding rate as an indicator of caloric value in some lepidopterous larvae. Oecologia. 24(1). 91–94. 5 indexed citations
19.
Pandian, T. J. & Sinnakaruppan Mathavan. (1974). Patterns of energy utilization in the tropical dragonfly, Diplacodes trivialis (Rambur), and some other aquatic insects (Anisoptera: Libellulidae). Odonatologica. 3(4). 241–248. 4 indexed citations
20.
Mathavan, Sinnakaruppan & T. J. Pandian. (1974). Use of faecal weight as an indicator of food consumption in some lepidopterans. Oecologia. 15(2). 177–185. 23 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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