Baskaran Yogalakshmi

526 total citations
8 papers, 443 citations indexed

About

Baskaran Yogalakshmi is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cell Biology. According to data from OpenAlex, Baskaran Yogalakshmi has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Baskaran Yogalakshmi's work include Diet, Metabolism, and Disease (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Baskaran Yogalakshmi is often cited by papers focused on Diet, Metabolism, and Disease (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Baskaran Yogalakshmi collaborates with scholars based in India and United States. Baskaran Yogalakshmi's co-authors include Carani Venkatraman Anuradha, Periyasamy Viswanathan and Saravanan Bhuvaneswari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Toxicology and Molecular and Cellular Biochemistry.

In The Last Decade

Baskaran Yogalakshmi

8 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baskaran Yogalakshmi India 6 95 92 87 85 83 8 443
Junko Yokota Japan 12 179 1.9× 57 0.6× 49 0.6× 78 0.9× 89 1.1× 31 554
Aristatile Balakrishnan Saudi Arabia 14 164 1.7× 44 0.5× 95 1.1× 57 0.7× 105 1.3× 24 555
Heba M. I. Abdallah Egypt 14 150 1.6× 47 0.5× 51 0.6× 51 0.6× 99 1.2× 33 519
Periyasamy Viswanathan India 12 137 1.4× 103 1.1× 108 1.2× 120 1.4× 141 1.7× 12 671
Huihui Ke China 10 206 2.2× 102 1.1× 69 0.8× 100 1.2× 39 0.5× 17 471
Dongwen Hu China 7 144 1.5× 70 0.8× 66 0.8× 93 1.1× 33 0.4× 9 367
Yuwei Liu China 13 211 2.2× 59 0.6× 79 0.9× 92 1.1× 71 0.9× 33 646
Zunli Ke China 13 142 1.5× 87 0.9× 84 1.0× 125 1.5× 37 0.4× 22 410
Munavvar Zubaid Abdul Sattar Malaysia 11 135 1.4× 47 0.5× 92 1.1× 96 1.1× 35 0.4× 16 543
Hessah Mohammed Al-Muzafar Saudi Arabia 10 121 1.3× 85 0.9× 38 0.4× 35 0.4× 67 0.8× 20 402

Countries citing papers authored by Baskaran Yogalakshmi

Since Specialization
Citations

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

Fields of papers citing papers by Baskaran Yogalakshmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baskaran Yogalakshmi

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

All Works

8 of 8 papers shown
1.
Yogalakshmi, Baskaran, et al.. (2018). Grape seed proanthocyanidins and metformin combination attenuate hepatic endoplasmic reticulum stress in rats subjected to nutrition excess. Archives of Physiology and Biochemistry. 125(2). 174–183. 8 indexed citations
2.
Yogalakshmi, Baskaran, et al.. (2014). Dietary proteins differentially influence adipokines and insulin sensitivity in high fructose–fed rats. Mediterranean Journal of Nutrition and Metabolism. 7(2). 119–132. 1 indexed citations
3.
Yogalakshmi, Baskaran, et al.. (2013). Troxerutin suppresses lipid abnormalities in the heart of high-fat–high-fructose diet-fed mice. Molecular and Cellular Biochemistry. 387(1-2). 123–134. 39 indexed citations
4.
Yogalakshmi, Baskaran & Carani Venkatraman Anuradha. (2013). STUDY ON THE EFFECT OF GRAPE SEED PROANTHOCYANIDINS ON ADIPOCYTOKINE RECEPTORS IN DIET INDUCED FATTY LIVER DISEASE. International Research Journal of Pharmacy. 4(7). 197–202. 2 indexed citations
5.
Yogalakshmi, Baskaran, et al.. (2013). Grape seed proanthocyanidins and metformin act by different mechanisms to promote insulin signaling in rats fed high calorie diet. Journal of Cell Communication and Signaling. 8(1). 13–22. 33 indexed citations
6.
Bhuvaneswari, Saravanan, et al.. (2013). Astaxanthin reduces hepatic endoplasmic reticulum stress and nuclear factor-κB-mediated inflammation in high fructose and high fat diet-fed mice. Cell Stress and Chaperones. 19(2). 183–191. 82 indexed citations
7.
Yogalakshmi, Baskaran, et al.. (2013). Grape Seed Proanthocyanidin Rescues Rats from Steatosis: A Comparative and Combination Study with Metformin. SHILAP Revista de lepidopterología. 2013. 1–11. 30 indexed citations
8.
Yogalakshmi, Baskaran, Periyasamy Viswanathan, & Carani Venkatraman Anuradha. (2009). Investigation of antioxidant, anti-inflammatory and DNA-protective properties of eugenol in thioacetamide-induced liver injury in rats. Toxicology. 268(3). 204–212. 248 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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