Sumathy Ramasamy

524 total citations
8 papers, 389 citations indexed

About

Sumathy Ramasamy is a scholar working on Insect Science, Molecular Biology and Food Science. According to data from OpenAlex, Sumathy Ramasamy has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Insect Science, 2 papers in Molecular Biology and 2 papers in Food Science. Recurrent topics in Sumathy Ramasamy's work include Silkworms and Sericulture Research (2 papers), Insect-Plant Interactions and Control (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Sumathy Ramasamy is often cited by papers focused on Silkworms and Sericulture Research (2 papers), Insect-Plant Interactions and Control (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Sumathy Ramasamy collaborates with scholars based in India. Sumathy Ramasamy's co-authors include V. Girish Naik, B. B. Bindroo, Gajendra P. S. Raghava, Mamoon Rashid, V. Sivaprasad, Syed Musthapa Meeran, Velliyur Kanniappan Gopalakrishnan, Priya Mondal and Jagadish Natesh and has published in prestigious journals such as International Journal of Biological Macromolecules, Scientia Horticulturae and Current Protein and Peptide Science.

In The Last Decade

Sumathy Ramasamy

8 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumathy Ramasamy India	6	170	165	97	69	68	8	389
V. Girish Naik India	8	192 1.1×	267 1.6×	91 0.9×	84 1.2×	71 1.0×	22	477
Alexis Loetscher Switzerland	2	105 0.6×	69 0.4×	170 1.8×	66 1.0×	52 0.8×	2	312
Celso Luís Marino Brazil	13	152 0.9×	314 1.9×	130 1.3×	83 1.2×	62 0.9×	72	575
Arundhati Majumder United States	7	133 0.8×	100 0.6×	119 1.2×	37 0.5×	143 2.1×	11	336
Víctor Rocha‐Ramírez Mexico	12	83 0.5×	263 1.6×	127 1.3×	88 1.3×	47 0.7×	24	460
Arnaud Dowkiw France	10	81 0.5×	193 1.2×	138 1.4×	48 0.7×	73 1.1×	12	332
Zeng‐Qiang Qian China	12	240 1.4×	122 0.7×	216 2.2×	177 2.6×	38 0.6×	37	419
Gabriela Castellanos‐Morales Mexico	11	167 1.0×	131 0.8×	73 0.8×	103 1.5×	48 0.7×	27	331
Jeff Glaubitz United States	4	327 1.9×	369 2.2×	146 1.5×	61 0.9×	48 0.7×	4	585
Adama Faye Senegal	8	95 0.6×	170 1.0×	140 1.4×	130 1.9×	29 0.4×	20	356

Countries citing papers authored by Sumathy Ramasamy

Since Specialization

Citations

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

Fields of papers citing papers by Sumathy Ramasamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumathy Ramasamy

This figure shows the co-authorship network connecting the top 25 collaborators of Sumathy Ramasamy. A scholar is included among the top collaborators of Sumathy Ramasamy 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 Sumathy Ramasamy. Sumathy Ramasamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Mondal, Priya, et al.. (2024). Physicochemical characteristics of dietary fiber polysaccharides extracted from Murraya koenigii leaves and their functional role on gut homeostasis. International Journal of Biological Macromolecules. 293. 139198–139198. 8 indexed citations

Natesh, Jagadish, et al.. (2024). Development of a self-nanoemulsifying drug delivery system of diindolylmethane for enhanced bioaccessibility, bioavailability and anti-breast cancer efficacy. Journal of Drug Delivery Science and Technology. 93. 105435–105435. 3 indexed citations

Sivaprasad, V., et al.. (2019). Identification of Potential Probiotics in the Midgut of Mulberry Silkworm, Bombyx mori Through Metagenomic Approach. Probiotics and Antimicrobial Proteins. 12(2). 635–640. 22 indexed citations

Ramasamy, Sumathy, et al.. (2018). Growth performance in contrasting sets of mulberry ( Morus Spp.) genotypes explained by logistic and linear regression models using morphological and gas exchange parameters. Scientia Horticulturae. 235. 53–61. 5 indexed citations

Ramasamy, Sumathy, et al.. (2014). Insilico identification of protein-protein interactions in Silkworm, Bombyx mori. Bioinformation. 10(2). 56–62. 6 indexed citations

Ramasamy, Sumathy, et al.. (2014). STRUCTURE PLOT: a program for drawing elegant STRUCTURE bar plots in user friendly interface. SpringerPlus. 3(1). 431–431. 309 indexed citations

Ramasamy, Sumathy. (2012). Theoretical Modeling and Docking Studies of Silkworm Serotonin Receptor. Journal of Proteomics & Bioinformatics. 5(9). 4 indexed citations

Rashid, Mamoon, Sumathy Ramasamy, & Gajendra P. S. Raghava. (2010). A Simple Approach for Predicting Protein-Protein Interactions. Current Protein and Peptide Science. 11(7). 589–600. 32 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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