Subramanyam Ragupathy

2.8k total citations
51 papers, 1.7k citations indexed

About

Subramanyam Ragupathy is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Subramanyam Ragupathy has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 23 papers in Plant Science and 14 papers in Food Science. Recurrent topics in Subramanyam Ragupathy's work include Identification and Quantification in Food (19 papers), Ethnobotanical and Medicinal Plants Studies (13 papers) and Genomics and Phylogenetic Studies (8 papers). Subramanyam Ragupathy is often cited by papers focused on Identification and Quantification in Food (19 papers), Ethnobotanical and Medicinal Plants Studies (13 papers) and Genomics and Phylogenetic Studies (8 papers). Subramanyam Ragupathy collaborates with scholars based in Canada, India and China. Subramanyam Ragupathy's co-authors include Steven G. Newmaster, Aron J. Fazekas, A. Mahadevan, S. Dhivya, G. Ravikanth, W. John Kress, Xi Wu, Jie Yu, Chang Liu and Gopalakrishnan Saroja Seethapathy and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Subramanyam Ragupathy

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subramanyam Ragupathy Canada 23 868 712 292 285 224 51 1.7k
Xinye Ma China 10 1.1k 1.3× 570 0.8× 174 0.6× 387 1.4× 357 1.6× 18 1.7k
Xiaocheng Jia China 6 849 1.0× 523 0.7× 119 0.4× 348 1.2× 261 1.2× 13 1.4k
Mark P. Widrlechner United States 23 529 0.6× 880 1.2× 235 0.8× 256 0.9× 155 0.7× 132 1.6k
Jiang Xu China 25 1.4k 1.7× 925 1.3× 144 0.5× 319 1.1× 162 0.7× 99 2.2k
Guang‐Wan Hu China 23 919 1.1× 609 0.9× 200 0.7× 656 2.3× 167 0.7× 172 1.7k
G. Ravikanth India 30 947 1.1× 960 1.3× 248 0.8× 472 1.7× 298 1.3× 130 2.7k
Uppeandra Dhar India 28 749 0.9× 1.5k 2.1× 362 1.2× 381 1.3× 48 0.2× 76 2.3k
Concepción Obón Spain 24 470 0.5× 1.3k 1.9× 666 2.3× 241 0.8× 137 0.6× 143 2.1k
Tao Zhou China 21 1.1k 1.3× 479 0.7× 114 0.4× 348 1.2× 335 1.5× 101 1.5k
Gloria E. Barboza Argentina 23 538 0.6× 1.2k 1.6× 276 0.9× 635 2.2× 139 0.6× 117 1.9k

Countries citing papers authored by Subramanyam Ragupathy

Since Specialization
Citations

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

Fields of papers citing papers by Subramanyam Ragupathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramanyam Ragupathy

This figure shows the co-authorship network connecting the top 25 collaborators of Subramanyam Ragupathy. A scholar is included among the top collaborators of Subramanyam Ragupathy 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 Subramanyam Ragupathy. Subramanyam Ragupathy 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
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Ragupathy, Subramanyam, et al.. (2024). Flower Species Ingredient Verification Using Orthogonal Molecular Methods. Foods. 13(12). 1862–1862. 4 indexed citations
5.
Shehata, Hanan R., Subramanyam Ragupathy, Thomas Henry, & Steven G. Newmaster. (2021). Niche specificity and functional diversity of the bacterial communities associated with Ginkgo biloba and Panax quinquefolius. Scientific Reports. 11(1). 10803–10803. 7 indexed citations
6.
Sadat, Azin, Yinan Huang, Aditi Arora, et al.. (2021). Detection of SARS-CoV-2 on surfaces in food retailers in Ontario. Current Research in Food Science. 4. 598–602. 16 indexed citations
7.
Yu, Jie, et al.. (2020). Progress in the use of DNA barcodes in the identification and classification of medicinal plants. Ecotoxicology and Environmental Safety. 208. 111691–111691. 103 indexed citations
8.
Kesanakurti, Prasad, et al.. (2020). Genome skimming and NMR chemical fingerprinting provide quality assurance biotechnology to validate Sarsaparilla identity and purity. Scientific Reports. 10(1). 19192–19192. 10 indexed citations
9.
Dhivya, S., et al.. (2020). Validation and Optimization of qPCR Method for Identification of Actaea racemosa (Black Cohosh) NHPs. Journal of AOAC International. 104(3). 836–846. 2 indexed citations
10.
Ragupathy, Subramanyam, S. Dhivya, Yanjun Zhang, et al.. (2019). DNA Quality and Quantity Analysis of Camellia sinensis Through Processing from Fresh Leaves to a Green Tea Extract. Journal of AOAC International. 102(6). 1798–1807. 12 indexed citations
11.
Ragupathy, Subramanyam, S. Dhivya, Prasad Kesanakurti, et al.. (2019). Exploring DNA quantity and quality from raw materials to botanical extracts. Heliyon. 5(6). e01935–e01935. 14 indexed citations
12.
Xin, Tianyi, Zhichao Xu, Jing Jia, et al.. (2017). Biomonitoring for traditional herbal medicinal products using DNA metabarcoding and single molecule, real-time sequencing. Acta Pharmaceutica Sinica B. 8(3). 488–497. 58 indexed citations
13.
Urumarudappa, Santhosh Kumar J., Navdeep Gogna, Steven G. Newmaster, et al.. (2016). DNA barcoding and NMR spectroscopy-based assessment of species adulteration in the raw herbal trade of Saraca asoca (Roxb.) Willd, an important medicinal plant. International Journal of Legal Medicine. 130(6). 1457–1470. 41 indexed citations
14.
Newmaster, Steven G., et al.. (2014). DNA Barcode Authentication of Wood Samples of Threatened and Commercial Timber Trees within the Tropical Dry Evergreen Forest of India. PLoS ONE. 9(9). e107669–e107669. 40 indexed citations
15.
Ragupathy, Subramanyam, et al.. (2011). Local Knowledge and Conservation of Seagrasses in the Tamil Nadu State of India. Journal of Ethnobiology and Ethnomedicine. 7(1). 37–37. 63 indexed citations
16.
Ragupathy, Subramanyam & Steven G. Newmaster. (2009). Valorizing the 'Irulas' traditional knowledge of medicinal plants in the Kodiakkarai Reserve Forest, India. Journal of Ethnobiology and Ethnomedicine. 5(1). 10–10. 61 indexed citations
17.
Ragupathy, Subramanyam, et al.. (2009). DNA barcoding discriminates a new cryptic grass species revealed in an ethnobotany study by the hill tribes of the Western Ghats in southern India. Molecular Ecology Resources. 9(s1). 164–171. 77 indexed citations
18.
Ragupathy, Subramanyam, et al.. (2009). Testing plant barcoding in a sister species complex of pantropical Acacia (Mimosoideae, Fabaceae). Molecular Ecology Resources. 9(s1). 172–180. 135 indexed citations
19.
Newmaster, Steven G., et al.. (2007). THE MULTI-MECHANISTIC TAXONOMY OF THE IRULAS IN TAMIL NADU, SOUTH INDIA. Journal of Ethnobiology. 27(2). 233–255. 20 indexed citations
20.
Ragupathy, Subramanyam, et al.. (1990). Occurrence of vesicular — Arbuscular mycorrhizae in tropical hydrophytes. Aquatic Botany. 36(3). 287–291. 24 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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