Radhika Muzumdar

5.6k total citations · 1 hit paper
75 papers, 4.2k citations indexed

About

Radhika Muzumdar is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Radhika Muzumdar has authored 75 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 23 papers in Molecular Biology and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Radhika Muzumdar's work include Adipose Tissue and Metabolism (13 papers), GDF15 and Related Biomarkers (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (11 papers). Radhika Muzumdar is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), GDF15 and Related Biomarkers (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (11 papers). Radhika Muzumdar collaborates with scholars based in United States, China and Canada. Radhika Muzumdar's co-authors include Nir Barzilai, Derek M. Huffman, Zhenwei Gong, Gil Atzmon, Andrzej Bartke, Francine Einstein, Emir Tas, Sigal Fishman, Lingguang Cui and Xiaohui Ma and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Radhika Muzumdar

71 papers receiving 4.1k citations

Hit Papers

The Critical Role of Metabolic Pathways in Aging 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radhika Muzumdar United States 37 1.7k 1.5k 885 875 643 75 4.2k
Zhongjie Sun United States 40 1.0k 0.6× 1.5k 1.0× 618 0.7× 353 0.4× 204 0.3× 130 5.6k
Michał M. Masternak United States 39 2.8k 1.6× 2.0k 1.3× 1.2k 1.3× 538 0.6× 83 0.1× 179 5.7k
Heidi K. Ortmeyer United States 26 1.3k 0.8× 758 0.5× 447 0.5× 903 1.0× 92 0.1× 65 2.8k
Wilhelm Krone Germany 41 2.6k 1.5× 2.7k 1.8× 1.8k 2.0× 1.1k 1.2× 193 0.3× 182 7.8k
Jonas T. Treebak Denmark 42 3.2k 1.8× 3.5k 2.3× 478 0.5× 765 0.9× 115 0.2× 103 6.2k
Noni L. Bodkin United States 29 1.9k 1.1× 1.7k 1.2× 889 1.0× 1.1k 1.2× 64 0.1× 53 4.3k
Dorothy D. Sears United States 37 2.7k 1.6× 1.8k 1.2× 515 0.6× 1.1k 1.2× 67 0.1× 121 5.1k
Fábio Bessa Lima Brazil 34 1.5k 0.8× 503 0.3× 428 0.5× 631 0.7× 352 0.5× 97 3.3k
Frederico G. S. Toledo United States 39 3.1k 1.8× 2.1k 1.4× 972 1.1× 851 1.0× 224 0.3× 92 5.7k
Francisco Ortega Spain 44 2.8k 1.6× 2.9k 1.9× 618 0.7× 2.0k 2.3× 182 0.3× 149 7.0k

Countries citing papers authored by Radhika Muzumdar

Since Specialization
Citations

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

Fields of papers citing papers by Radhika Muzumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radhika Muzumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Radhika Muzumdar. A scholar is included among the top collaborators of Radhika Muzumdar 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 Radhika Muzumdar. Radhika Muzumdar 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.
Tas, Emir, Ingrid Libman, Radhika Muzumdar, et al.. (2025). The association between hepatic steatosis, vitamin D status, and insulin resistance in adolescents with obesity. PubMed. 14. 100173–100173.
2.
Gong, Zhenwei, Manisha Dixit, Zhiming He, et al.. (2024). Deletion of absent in melanoma-2 (AIM2) drives bone marrow adipogenesis and impairs bone microarchitecture. GeroScience. 47(1). 795–807.
3.
Tas, Emir, Yesenia Garcia‐Reyes, Haseeb Rahat, et al.. (2024). Diagnostic Accuracy of Transient Elastography in Hepatosteatosis in Youth With Obesity. Journal of the Endocrine Society. 8(7). bvae110–bvae110. 3 indexed citations
4.
Wang, Huabo, Taylor A. Stevens, Jie Lu, et al.. (2024). Body‐Wide Inactivation of the Myc‐Like Mlx Transcription Factor Network Accelerates Aging and Increases the Lifetime Cancer Incidence. Advanced Science. 11(34). e2401593–e2401593. 2 indexed citations
5.
Tas, Emir, et al.. (2024). Relationship between liver and cardiometabolic health in type 1 diabetes. Frontiers in Endocrinology. 15. 1505430–1505430. 1 indexed citations
6.
Goetzman, Eric S., et al.. (2023). Complex II Biology in Aging, Health, and Disease. Antioxidants. 12(7). 1477–1477. 29 indexed citations
8.
Bharathi, Sivakama S., Yuxun Zhang, Zhenwei Gong, Radhika Muzumdar, & Eric S. Goetzman. (2020). Role of mitochondrial acyl-CoA dehydrogenases in the metabolism of dicarboxylic fatty acids. Biochemical and Biophysical Research Communications. 527(1). 162–166. 17 indexed citations
9.
Sereika, Susan M., et al.. (2019). Sleep in Parental Caregivers and Children With Type 1 Diabetes. The Journal of School Nursing. 37(4). 259–269. 17 indexed citations
10.
Goetzman, Eric S., Zhenwei Gong, Manuel Schiff, Yan Wang, & Radhika Muzumdar. (2017). Metabolic pathways at the crossroads of diabetes and inborn errors. Journal of Inherited Metabolic Disease. 41(1). 5–17. 8 indexed citations
11.
Gong, Zhenwei, Inmaculada Tasset, Antonio Díaz, et al.. (2017). Humanin is an endogenous activator of chaperone-mediated autophagy. The Journal of Cell Biology. 217(2). 635–647. 74 indexed citations
12.
Zhang, Ting, Dae Hyun Kim, Xiangwei Xiao, et al.. (2016). FoxO1 Plays an Important Role in Regulating β-Cell Compensation for Insulin Resistance in Male Mice. Endocrinology. 157(3). 1055–1070. 65 indexed citations
13.
Gong, Zhenwei, Emir Tas, Shoshana Yakar, & Radhika Muzumdar. (2016). Hepatic lipid metabolism and non-alcoholic fatty liver disease in aging. Molecular and Cellular Endocrinology. 455. 115–130. 112 indexed citations
14.
Cobb, Laura J., Changhan Lee, Jialin Xiao, et al.. (2016). Naturally occurring mitochondrial-derived peptides are age-dependent regulators of apoptosis, insulin sensitivity, and inflammatory markers. Aging. 8(4). 796–809. 208 indexed citations
15.
Kennedy, Oran D., Hui Sun, Yingjie Wu, et al.. (2013). Reductions in serum IGF ‐1 during aging impair health span. Aging Cell. 13(3). 408–418. 62 indexed citations
16.
Barzilai, Nir, Derek M. Huffman, Radhika Muzumdar, & Andrzej Bartke. (2012). The Critical Role of Metabolic Pathways in Aging. Diabetes. 61(6). 1315–1322. 590 indexed citations breakdown →
17.
Muzumdar, Radhika, Derek M. Huffman, Gil Atzmon, et al.. (2009). Humanin: A Novel Central Regulator of Peripheral Insulin Action. PLoS ONE. 4(7). e6334–e6334. 202 indexed citations
18.
Einstein, Francine, Sigal Fishman, Reid F. Thompson, et al.. (2008). Enhanced activation of a “nutrient‐sensing” pathway with age contributes to insulin resistance. The FASEB Journal. 22(10). 3450–3457. 47 indexed citations
19.
Muzumdar, Radhika, et al.. (2003). Presentation and 5-Year Follow-Up of Type 2 Diabetes mellitus in African-American and Caribbean-Hispanic Adolescents. Hormone Research in Paediatrics. 60(3). 121–126. 66 indexed citations
20.
Muzumdar, Radhika, et al.. (2002). Aging Is Associated With Resistance to Effects of Leptin on Fat Distribution and Insulin Action. The Journals of Gerontology Series A. 57(6). B225–B231. 66 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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