Usha Balasundaram

521 total citations
21 papers, 305 citations indexed

About

Usha Balasundaram is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Usha Balasundaram has authored 21 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Plant Science. Recurrent topics in Usha Balasundaram's work include Biological Stains and Phytochemicals (7 papers), Ovarian function and disorders (4 papers) and Plant-Microbe Interactions and Immunity (4 papers). Usha Balasundaram is often cited by papers focused on Biological Stains and Phytochemicals (7 papers), Ovarian function and disorders (4 papers) and Plant-Microbe Interactions and Immunity (4 papers). Usha Balasundaram collaborates with scholars based in India, Sweden and Italy. Usha Balasundaram's co-authors include Baburaj Baskar, Mohankumar Ramasamy, Rameshthangam Palanivel, Chitra Jeyaraj Pandian, Thilagavathi Ramamoorthy, K. Ilango, Rex Arunraj, Gayatri Venkataraman, Suja George and Thirumurthy Madhavan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and International Journal of Biological Macromolecules.

In The Last Decade

Usha Balasundaram

19 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usha Balasundaram India 9 120 100 81 68 21 21 305
Francis Ikechukwu Duru Nigeria 12 84 0.7× 85 0.8× 33 0.4× 53 0.8× 20 1.0× 36 341
Agnieszka Greń Slovakia 9 121 1.0× 42 0.4× 62 0.8× 32 0.5× 7 0.3× 48 323
Sameh M H Khalaf Saudi Arabia 8 62 0.5× 47 0.5× 50 0.6× 53 0.8× 34 1.6× 15 326
Ali Mahran Egypt 7 90 0.8× 100 1.0× 74 0.9× 49 0.7× 11 0.5× 18 286
Majid Pourentezari Iran 10 180 1.5× 35 0.3× 108 1.3× 42 0.6× 12 0.6× 30 342
Shiqi Weng China 12 168 1.4× 48 0.5× 127 1.6× 83 1.2× 21 1.0× 19 354
Fábio Gallas Leivas Brazil 11 112 0.9× 32 0.3× 140 1.7× 53 0.8× 7 0.3× 33 344
Enver Kerem Dirican Türkiye 9 250 2.1× 120 1.2× 252 3.1× 57 0.8× 6 0.3× 17 553
Amira Sallem Tunisia 12 307 2.6× 47 0.5× 323 4.0× 58 0.9× 5 0.2× 24 558
Widjiati Widjiati Indonesia 6 94 0.8× 42 0.4× 50 0.6× 38 0.6× 14 0.7× 133 248

Countries citing papers authored by Usha Balasundaram

Since Specialization
Citations

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

Fields of papers citing papers by Usha Balasundaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usha Balasundaram

This figure shows the co-authorship network connecting the top 25 collaborators of Usha Balasundaram. A scholar is included among the top collaborators of Usha Balasundaram 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 Usha Balasundaram. Usha Balasundaram 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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Balasundaram, Usha, et al.. (2024). Assessment of Smartphone Medical Applications as a Self-Directed Learning Tool for Medical Students and Compulsory Rotatory Residential Internship—A KAP Survey. SHILAP Revista de lepidopterología. 11. 2357626438–2357626438. 2 indexed citations
5.
Balasundaram, Usha, et al.. (2024). Aromatase inhibitors identified from Saraca asoca to treat infertility in women with polycystic ovary syndrome via in silico and in vivo studies. Journal of Biomolecular Structure and Dynamics. 43(12). 5645–5660. 1 indexed citations
6.
Madhavan, Thirumurthy, et al.. (2023). IN-SILICO SCREENING OF PHYTOCHEMICAL COMPOUNDS IN CAESALPINIA BONDUCELLA L. SEEDS AGAINST THE GENE TARGETS OF OVARIAN STEROIDOGENESIS PATHWAY. Journal of Microbiology Biotechnology and Food Sciences. e6124–e6124. 2 indexed citations
7.
Baskar, Baburaj, et al.. (2023). Glutathione elicits enhanced biosynthesis of bonducellin, a homoisoflavonoid, in Caesalpinia bonducella leaf callus. Plant Cell Tissue and Organ Culture (PCTOC). 155(1). 57–65. 3 indexed citations
8.
Balasundaram, Usha, et al.. (2022). Whole exome and targeted sequencing reveal novel mutations associated with inherited PCOS condition in an Indian cohort. Journal of Human Genetics. 68(1). 39–46. 7 indexed citations
9.
Balasundaram, Usha, et al.. (2022). Reshaping the Gut Microbiota Through Lifestyle Interventions in Women with PCOS: A Review. Indian Journal of Microbiology. 62(3). 351–363. 11 indexed citations
10.
Balasundaram, Usha, et al.. (2021). Caesalpinia bonduc (L.) Roxb. as a promising source of pharmacological compounds to treat Poly Cystic Ovary Syndrome (PCOS): A review. Journal of Ethnopharmacology. 279. 114375–114375. 26 indexed citations
11.
Balasundaram, Usha, et al.. (2020). Rhizomicrobiomics of Caesalpinia bonducella, a wonder plant for PCOS treatment. Physiology and Molecular Biology of Plants. 26(12). 2453–2463. 4 indexed citations
12.
Ramasamy, Mohankumar, et al.. (2020). Root exudation of organic acids as affected by plant growth-promoting rhizobacteria Bacillus subtilis RR4 in rice. Journal of Crop Improvement. 34(4). 571–586. 15 indexed citations
13.
Ramamoorthy, Thilagavathi, et al.. (2019). Association of GWAS identified INSR variants (rs2059807 & rs1799817) with polycystic ovarian syndrome in Indian women. International Journal of Biological Macromolecules. 144. 663–670. 20 indexed citations
15.
Ilango, K., et al.. (2018). Transcriptome profiling of rice roots in early response to Bacillus subtilis (RR4) colonization. Botany. 96(11). 749–765. 14 indexed citations
16.
Balasundaram, Usha, et al.. (2018). Study of echocardiography in thalassemia (major/intermedia) patients at tertiary care center. Indian Journal of Child Health. 5(8). 533–536. 1 indexed citations
17.
Pandian, Chitra Jeyaraj, Rameshthangam Palanivel, & Usha Balasundaram. (2017). Green synthesized nickel nanoparticles for targeted detection and killing of S. typhimurium. Journal of Photochemistry and Photobiology B Biology. 174. 58–69. 15 indexed citations
18.
Balasundaram, Usha, et al.. (2017). Enantioselective reduction of aryl and hetero aryl methyl ketones using plant cell suspension cultures of Vigna radiata. Biocatalysis and Biotransformation. 35(3). 223–229. 5 indexed citations
19.
Baskar, Baburaj, et al.. (2017). Plant-growth-promoting rhizobacteria Bacillus subtilis RR4 isolated from rice rhizosphere induces malic acid biosynthesis in rice roots. Canadian Journal of Microbiology. 64(1). 20–27. 55 indexed citations
20.
Balasundaram, Usha, et al.. (2014). Metallothioneins from a Hyperaccumulating PlantProsopis julifloraShow Difference in Heavy Metal Accumulation in Transgenic Tobacco. International Journal of Agriculture Environment and Biotechnology. 7(2). 241–241. 3 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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