Savitha Subramanian

3.2k total citations · 1 hit paper
54 papers, 2.4k citations indexed

About

Savitha Subramanian is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Savitha Subramanian has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 21 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Surgery. Recurrent topics in Savitha Subramanian's work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Liver Disease Diagnosis and Treatment (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Savitha Subramanian is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (15 papers), Liver Disease Diagnosis and Treatment (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Savitha Subramanian collaborates with scholars based in United States, Australia and India. Savitha Subramanian's co-authors include Alan Chait, Kevin D. O’Brien, Shari Wang, Leela Goodspeed, George N. Ioannou, Chang Yeop Han, Matthew M. Yeh, Mohamed Omer, Janet B. McGill and Irl B. Hirsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Savitha Subramanian

53 papers receiving 2.4k citations

Hit Papers

New advances in type 1 diabetes 2024 2026 2025 2024 10 20 30

Peers

Savitha Subramanian
Shannon J. McCall United States
Farooq Syed United States
R. Poledne Czechia
J.H.M. Levels Netherlands
Lisa R. Tannock United States
Savitha Subramanian
Citations per year, relative to Savitha Subramanian Savitha Subramanian (= 1×) peers Adriaan G. Holleboom

Countries citing papers authored by Savitha Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Savitha Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Savitha Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Savitha Subramanian. A scholar is included among the top collaborators of Savitha Subramanian 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 Savitha Subramanian. Savitha Subramanian 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.
Subramanian, Savitha, et al.. (2024). Therapy for Hyperlipidemia. Medical Clinics of North America. 108(5). 881–894. 4 indexed citations
2.
Warshaw, Hope, Alison B. Evert, Jason L. Schwartz, et al.. (2024). Incretin-Based Therapies and Lifestyle Interventions: The Evolving Role of Registered Dietitian Nutritionists in Obesity Care. Journal of the Academy of Nutrition and Dietetics. 125(3). 408–421. 16 indexed citations
3.
Kothari, Vishal, Christopher Savard, Jingjing Tang, et al.. (2023). sTREM2 is a plasma biomarker for human NASH and promotes hepatocyte lipid accumulation. Hepatology Communications. 7(11). 13 indexed citations
4.
Wright, Eugene E. & Savitha Subramanian. (2023). Is Continuous Glucose Monitoring a Tool, an Intervention, or Both?. Diabetes Technology & Therapeutics. 25(3_suppl). S48–S55. 4 indexed citations
5.
Subramanian, Savitha. (2021). Rice-fish culture: status and potential for increased production in the southwestern states of India. AquaDocs (United Nations Educational, Scientific and Cultural Organization).
6.
Subramanian, Savitha, Ranjit Mohan Anjana, Muthuswamy Balasubramanyam, et al.. (2020). Decreased Sestrin levels in patients with type 2 diabetes and dyslipidemia and their association with the severity of atherogenic index. Journal of Endocrinological Investigation. 44(7). 1395–1405. 24 indexed citations
7.
Han, Chang Yeop, Inkyung Kang, Ingrid A. Harten, et al.. (2020). Adipocyte-Derived Versican and Macrophage-Derived Biglycan Control Adipose Tissue Inflammation in Obesity. Cell Reports. 31(13). 107818–107818. 43 indexed citations
8.
Subramanian, Savitha & Irl B. Hirsch. (2018). Diabetic Kidney Disease: Is There a Role for Glycemic Variability?. Current Diabetes Reports. 18(3). 13–13. 18 indexed citations
9.
Chait, Alan, Savitha Subramanian, & John D. Brunzell. (2015). Genetic Disorders of Triglyceride Metabolism. 3 indexed citations
10.
McIntyre, Rebecca L., et al.. (2015). Polybrominated diphenyl ether congener, BDE-47, impairs insulin sensitivity in mice with liver-specific Pten deficiency. BMC Obesity. 2(1). 3–3. 15 indexed citations
11.
Subramanian, Savitha, Leela Goodspeed, Mohamed Omer, et al.. (2015). Anti-HMGB1 antibody reduces weight gain in mice fed a high-fat diet. Nutrition and Diabetes. 5(6). e161–e161. 35 indexed citations
12.
Hao, Wei, Michelle M. Averill, Timothy S. McMillen, et al.. (2014). Modulation of adipose tissue lipolysis and body weight by high-density lipoproteins in mice. Nutrition and Diabetes. 4(2). e108–e108. 29 indexed citations
13.
Averill, Michelle M., Eung Ju Kim, Leela Goodspeed, et al.. (2014). The Apolipoprotein-AI Mimetic Peptide L4F at a Modest Dose Does Not Attenuate Weight Gain, Inflammation, or Atherosclerosis in LDLR-Null Mice. PLoS ONE. 9(10). e109252–e109252. 8 indexed citations
14.
Hartigh, Laura J. den, Shari Wang, Leela Goodspeed, et al.. (2014). Deletion of Serum Amyloid A3 Improves High Fat High Sucrose Diet-Induced Adipose Tissue Inflammation and Hyperlipidemia in Female Mice. PLoS ONE. 9(9). e108564–e108564. 60 indexed citations
15.
Turner, Michael S., Savitha Subramanian, Yilei Ding, et al.. (2013). T Cell Activation Inhibitors Reduce CD8+ T Cell and Pro-Inflammatory Macrophage Accumulation in Adipose Tissue of Obese Mice. PLoS ONE. 8(7). e67709–e67709. 33 indexed citations
16.
Savard, Christopher, Erica V. Tartaglione, Rahul Kuver, et al.. (2012). Synergistic interaction of dietary cholesterol and dietary fat in inducing experimental steatohepatitis. Hepatology. 57(1). 81–92. 229 indexed citations
17.
Subramanian, Savitha, Leela Goodspeed, Shari Wang, et al.. (2011). Dietary cholesterol exacerbates hepatic steatosis and inflammation in obese LDL receptor-deficient mice. Journal of Lipid Research. 52(9). 1626–1635. 199 indexed citations
18.
Subramanian, Savitha & Alan Chait. (2008). The effect of dietary cholesterol on macrophage accumulation in adipose tissue: implications for systemic inflammation and atherosclerosis. Current Opinion in Lipidology. 20(1). 39–44. 41 indexed citations
19.
Goenka, Niru, et al.. (2007). Non‐alcoholic fatty liver disease: more than ‘just a bit of fatty liver’. Practical Diabetes International. 24(6). 305–308. 2 indexed citations
20.
Subramanian, Savitha & Dace Trence. (2007). Immunosuppressive Agents: Effects on Glucose and Lipid Metabolism. Endocrinology and Metabolism Clinics of North America. 36(4). 891–905. 52 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026