D. Sivaraman

470 total citations
41 papers, 306 citations indexed

About

D. Sivaraman is a scholar working on Pharmacology, Molecular Biology and Plant Science. According to data from OpenAlex, D. Sivaraman has authored 41 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmacology, 11 papers in Molecular Biology and 10 papers in Plant Science. Recurrent topics in D. Sivaraman's work include Pharmacological Effects of Natural Compounds (6 papers), Natural Antidiabetic Agents Studies (6 papers) and Medicinal Plants and Neuroprotection (5 papers). D. Sivaraman is often cited by papers focused on Pharmacological Effects of Natural Compounds (6 papers), Natural Antidiabetic Agents Studies (6 papers) and Medicinal Plants and Neuroprotection (5 papers). D. Sivaraman collaborates with scholars based in India, Malaysia and Australia. D. Sivaraman's co-authors include P. Panneerselvam, ArunSundar MohanaSundaram, V. Devi Rajeswari, S. Sundar Manoharan, Boopalan Ramasamy, Raja Selvaraj, V. Ravichandiran, Shashank Kumar, Govindaraj Perumal and Habibur Rahman and has published in prestigious journals such as Scientific Reports, Nanomedicine Nanotechnology Biology and Medicine and Applied Biochemistry and Biotechnology.

In The Last Decade

D. Sivaraman

35 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Sivaraman India 11 83 67 63 55 41 41 306
Mohammad Khushtar India 10 84 1.0× 63 0.9× 95 1.5× 63 1.1× 39 1.0× 24 369
Hemlata Kaurav India 11 89 1.1× 76 1.1× 73 1.2× 49 0.9× 38 0.9× 43 363
Raghavendra L. S. Hallur India 11 100 1.2× 36 0.5× 82 1.3× 46 0.8× 28 0.7× 45 326
Manash Pratim Pathak India 13 73 0.9× 43 0.6× 127 2.0× 59 1.1× 60 1.5× 55 562
Narendra Kumar Singh India 12 95 1.1× 76 1.1× 71 1.1× 76 1.4× 51 1.2× 35 319
Mahdi H. Alsugoor Saudi Arabia 10 69 0.8× 32 0.5× 94 1.5× 28 0.5× 29 0.7× 27 304
Yankui Yi China 13 42 0.5× 45 0.7× 95 1.5× 95 1.7× 21 0.5× 36 347
Smita Shenoy India 11 122 1.5× 71 1.1× 118 1.9× 87 1.6× 42 1.0× 58 466
S. Sathesh Kumar India 12 87 1.0× 63 0.9× 103 1.6× 116 2.1× 56 1.4× 55 484
Saurabh Verma India 10 52 0.6× 69 1.0× 131 2.1× 25 0.5× 70 1.7× 40 410

Countries citing papers authored by D. Sivaraman

Since Specialization
Citations

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

Fields of papers citing papers by D. Sivaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Sivaraman

This figure shows the co-authorship network connecting the top 25 collaborators of D. Sivaraman. A scholar is included among the top collaborators of D. Sivaraman 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 D. Sivaraman. D. Sivaraman 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.
Choudhury, Abbas Alam, Mohanapriya Arumugam, D. Sivaraman, et al.. (2024). Anti-diabetic drug discovery using the bioactive compounds of Momordica charantia by molecular docking and molecular dynamics analysis. Journal of Biomolecular Structure and Dynamics. 43(15). 8370–8384. 8 indexed citations
2.
Thamaraikani, Tamilanban, et al.. (2024). Carbamazepine-induced Stevens-Johnson Syndrome: A Case Report with Review of the Literature. Current Drug Safety. 20(3). 382–387.
3.
Rajeswari, V. Devi, et al.. (2024). Gut Microbiome and Polycystic Ovary Syndrome: Interplay of Associated Microbial-Metabolite Pathways and Therapeutic Strategies. Reproductive Sciences. 31(6). 1508–1520. 8 indexed citations
4.
Sivaraman, D., S. Sundar Manoharan, Srikanth Jeyabalan, et al.. (2024). Regulation of NS5B Polymerase Activity of Hepatitis C Virus by Target Specific Phytotherapeutics: An In-Silico Molecular Dynamics Approach. Cell Biochemistry and Biophysics. 82(3). 2473–2492.
5.
Rajeswari, V. Devi, et al.. (2023). Current updates on metabolites and its interlinked pathways as biomarkers for diabetic kidney disease: A systematic review. Translational research. 265. 71–87. 11 indexed citations
6.
Kumar, Santosh, Md. Ahsanul Haq, D. Sivaraman, et al.. (2023). Use of Injectable Platelet-Rich Fibrin Accompanied by Bone Graft in Socket Endurance: A Radiographic and Histological Study. Cureus. 15(10). e46909–e46909. 2 indexed citations
7.
8.
Perumal, Govindaraj, et al.. (2020). Bilayer nanostructure coated AZ31 magnesium alloy implants: in vivo reconstruction of critical-sized rabbit femoral segmental bone defect. Nanomedicine Nanotechnology Biology and Medicine. 29. 102232–102232. 17 indexed citations
9.
10.
Sivaraman, D., et al.. (2020). Current Strategies and Approaches in Combating SARS-CoV-2 Virus that Causes COVID-19. Letters in Drug Design & Discovery. 17(5). 672–674. 6 indexed citations
11.
Sivaraman, D., et al.. (2019). Potential antioxidant and anti-inflammatory action of Hypericum hookerianum extracts in a liposome system evaluated with zebrafish embryos. Journal of Microencapsulation. 36(6). 513–522. 7 indexed citations
12.
Sivaraman, D., et al.. (2011). Effect of Hemidesmus indicus on Cerebral Infract Ischemia-reperfusion Injured Rats by Four Vessel Occlusion Method. Pharmacologia. 3(4). 91–102. 3 indexed citations
13.
Rahman, Habibur, et al.. (2010). Continuous sleep deprivation for 5 days produces loss of memory in mice and may be a cause of Alzheimer’s disease.. Annals of biological research. 1(4). 1–9. 5 indexed citations
14.
Sivaraman, D., et al.. (2010). Anti-ulcerogenic evaluation of root extract of Ficus hispida Linn. in aspirin ulcerated rats.. African Journal of Pharmacy and Pharmacology. 4(2). 79–82. 14 indexed citations
15.
Sivaraman, D., et al.. (2010). Nootropic effect of Ipomoea aquatica Forsk in rat hippocampus.. International Journal of PharmTech Research. 2(1). 475–479. 3 indexed citations
16.
Sivaraman, D., et al.. (2010). Evaluation of anti-microbial and anti-inflammatory activity of methanol leaf extract of Ipomoea aquatica Forsk.. Research Journal of Pharmaceutical Biological and Chemical Sciences. 1(2). 258–264. 10 indexed citations
17.
Sivaraman, D., et al.. (2010). Evaluation of anti-microbial and anti-inflammatory activity of Morinda tinctoria Roxb.. 1(1). 8–13. 6 indexed citations
18.
Sivaraman, D., et al.. (2009). Antihyperglycemic and antidiabetic effects of Morinda tinctoria Roxb using streptozotocin-induced diabetic rats. Asian Biomedicine. 3(4). 433–437. 5 indexed citations
19.
Sivaraman, D., et al.. (2008). Influence of alpha lipoic acid on antioxidant status in D-galactosamine-induced hepatic injury. Toxicology and Industrial Health. 24(10). 635–642. 18 indexed citations
20.
MohanaSundaram, ArunSundar, et al.. (2008). Cardioprotective Effect of Ficus hispida Linn. on Cyclophosphamide Provoked Oxidative Myocardial Injury in a Rat Model. International Journal of Pharmacology. 4(2). 78–87. 38 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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