Mita Varghese

1.1k total citations
23 papers, 801 citations indexed

About

Mita Varghese is a scholar working on Epidemiology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mita Varghese has authored 23 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 14 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mita Varghese's work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (13 papers) and Cardiovascular Disease and Adiposity (4 papers). Mita Varghese is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (13 papers) and Cardiovascular Disease and Adiposity (4 papers). Mita Varghese collaborates with scholars based in United States and Australia. Mita Varghese's co-authors include Kanakadurga Singer, Eric T. Chang, Cameron Griffin, Simin Abrishami, Kaitlin McKernan, Jianrui Song, Ravi R Patel, Brigid Gregg, Hannah Hafner and Carey N. Lumeng and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Scientific Reports.

In The Last Decade

Mita Varghese

22 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mita Varghese United States 14 362 283 146 116 115 23 801
Teresa Vilariño‐García Spain 14 267 0.7× 296 1.0× 155 1.1× 119 1.0× 56 0.5× 26 913
Andrew Cheng United States 16 301 0.8× 280 1.0× 189 1.3× 95 0.8× 152 1.3× 31 991
Konstantinos Michalakis Greece 14 191 0.5× 254 0.9× 106 0.7× 56 0.5× 84 0.7× 24 884
Aleksandra Jotić Serbia 14 218 0.6× 176 0.6× 198 1.4× 59 0.5× 143 1.2× 56 956
Elva Pérez‐Luque Mexico 17 104 0.3× 211 0.7× 180 1.2× 94 0.8× 64 0.6× 35 839
Emanuele Miraglia del Giudice Italy 17 201 0.6× 214 0.8× 218 1.5× 27 0.2× 100 0.9× 65 842
Jeb S. Orr United States 18 497 1.4× 275 1.0× 124 0.8× 175 1.5× 357 3.1× 21 1.2k
Ayşe Demirkan Netherlands 19 223 0.6× 158 0.6× 492 3.4× 76 0.7× 127 1.1× 55 1.2k
Georgia Colleluori Italy 18 614 1.7× 271 1.0× 299 2.0× 35 0.3× 110 1.0× 42 1.1k
Mile Stanojcic Canada 20 260 0.7× 670 2.4× 215 1.5× 151 1.3× 69 0.6× 31 1.2k

Countries citing papers authored by Mita Varghese

Since Specialization
Citations

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

Fields of papers citing papers by Mita Varghese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mita Varghese

This figure shows the co-authorship network connecting the top 25 collaborators of Mita Varghese. A scholar is included among the top collaborators of Mita Varghese 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 Mita Varghese. Mita Varghese 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.
Varghese, Mita, et al.. (2025). Sex differences in the lipid profiles of visceral adipose tissue with obesity and gonadectomy. Journal of Lipid Research. 66(5). 100803–100803. 1 indexed citations
2.
Song, Jianrui, Diana Farris, Mita Varghese, et al.. (2023). Age‐associated adipose tissue inflammation promotes monocyte chemotaxis and enhances atherosclerosis. Aging Cell. 22(2). e13783–e13783. 24 indexed citations
3.
Kim, Katherine, Mita Varghese, Haijing Sun, et al.. (2023). The Influence of Maternal High Fat Diet During Lactation on Offspring Hematopoietic Priming. Endocrinology. 165(1). 3 indexed citations
4.
Varghese, Mita, et al.. (2022). Monocyte Trafficking and Polarization Contribute to Sex Differences in Meta-Inflammation. Frontiers in Endocrinology. 13. 826320–826320. 22 indexed citations
5.
Varghese, Mita, Cameron Griffin, Simin Abrishami, et al.. (2021). Sex hormones regulate metainflammation in diet-induced obesity in mice. Journal of Biological Chemistry. 297(5). 101229–101229. 34 indexed citations
6.
Varghese, Mita, Jianrui Song, & Kanakadurga Singer. (2021). Age and Sex: Impact on adipose tissue metabolism and inflammation. Mechanisms of Ageing and Development. 199. 111563–111563. 51 indexed citations
7.
Islam, M. R., et al.. (2021). Weight Gain, Glucose Tolerance, and the Gut Microbiome of Male C57BL/6J Mice Housed on Corncob or Paper Bedding and Fed Normal or High-Fat Diet. Journal of the American Association for Laboratory Animal Science. 60(4). 407–421. 2 indexed citations
8.
Varghese, Mita, et al.. (2020). Biodegradable, bile salt microparticles for localized fat dissolution. Science Advances. 6(49). 10 indexed citations
9.
Varghese, Mita, et al.. (2020). Female adipose tissue has improved adaptability and metabolic health compared to males in aged obesity. Aging. 12(2). 1725–1746. 29 indexed citations
10.
McKernan, Kaitlin, Mita Varghese, Ravi R Patel, & Kanakadurga Singer. (2020). Role of TLR4 in the induction of inflammatory changes in adipocytes and macrophages. Adipocyte. 9(1). 212–222. 47 indexed citations
11.
Griffin, Cameron, Chelsea R. Hutch, Simin Abrishami, et al.. (2019). Inflammatory responses to dietary and surgical weight loss in male and female mice. Biology of Sex Differences. 10(1). 16–16. 22 indexed citations
12.
Varghese, Mita, et al.. (2019). Adipocyte lipolysis affects Perilipin 5 and cristae organization at the cardiac lipid droplet-mitochondrial interface. Scientific Reports. 9(1). 4734–4734. 34 indexed citations
13.
Chang, Eric T., Hannah Hafner, Mita Varghese, et al.. (2019). Programming effects of maternal and gestational obesity on offspring metabolism and metabolic inflammation. Scientific Reports. 9(1). 16027–16027. 62 indexed citations
14.
Chang, Eric T., Mita Varghese, & Kanakadurga Singer. (2018). Gender and Sex Differences in Adipose Tissue. Current Diabetes Reports. 18(9). 69–69. 240 indexed citations
15.
Griffin, Cameron, Simin Abrishami, Mita Varghese, et al.. (2018). TLR4, TRIF, and MyD88 are essential for myelopoiesis and CD11c+ adipose tissue macrophage production in obese mice. Journal of Biological Chemistry. 293(23). 8775–8786. 66 indexed citations
16.
Varghese, Mita, Simin Abrishami, & Kanakadurga Singer. (2018). Adipocyte Lipolysis Triggers CD11c-ATM Inflammation in Lean Females and Obese Males and Females. Diabetes. 67(Supplement_1). 1 indexed citations
17.
Varghese, Mita, Cameron Griffin, & Kanakadurga Singer. (2017). The Role of Sex and Sex Hormones in Regulating Obesity-Induced Inflammation. Advances in experimental medicine and biology. 1043. 65–86. 46 indexed citations
18.
Varghese, Mita, et al.. (2012). Unraveling the Determinants of Protrusion Formation. International Journal of Cell Biology. 2012. 1–16. 4 indexed citations
19.
Heckman, Carol A., et al.. (2011). Origin of ruffles: Linkage to other protrusions, filopodia and lamellae. Cellular Signalling. 24(1). 189–198. 10 indexed citations
20.
Darian‐Smith, Corinna, et al.. (1989). An evolutionary link for developing mammalian lungs.. PubMed. 12(3). 153–5. 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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