Sudip Bajpeyi

2.5k total citations
41 papers, 1.9k citations indexed

About

Sudip Bajpeyi is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Sudip Bajpeyi has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Physiology, 20 papers in Cell Biology and 15 papers in Molecular Biology. Recurrent topics in Sudip Bajpeyi's work include Adipose Tissue and Metabolism (26 papers), Muscle metabolism and nutrition (20 papers) and Lipid metabolism and biosynthesis (9 papers). Sudip Bajpeyi is often cited by papers focused on Adipose Tissue and Metabolism (26 papers), Muscle metabolism and nutrition (20 papers) and Lipid metabolism and biosynthesis (9 papers). Sudip Bajpeyi collaborates with scholars based in United States, Chile and Norway. Sudip Bajpeyi's co-authors include Steven R. Smith, Jeffrey D. Covington, Éric Ravussin, Cédric Moro, Kevin E. Conley, Magdalena Pasarica, José E. Galgani, Darcy L. Johannsen, Sharon A. Jubrias and William E. Kraus and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Sudip Bajpeyi

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudip Bajpeyi United States 23 1.3k 757 429 346 197 41 1.9k
Kirsten E. Bell Canada 14 982 0.8× 721 1.0× 368 0.9× 266 0.8× 108 0.5× 32 1.6k
Véronic Bézaire Canada 21 1.4k 1.1× 793 1.0× 474 1.1× 251 0.7× 257 1.3× 23 1.9k
Frode Norheim Norway 29 1.9k 1.5× 1.1k 1.4× 506 1.2× 821 2.4× 199 1.0× 50 2.9k
Mahalakshmi Shankaran United States 21 712 0.6× 470 0.6× 296 0.7× 516 1.5× 74 0.4× 53 1.9k
Lorraine P. Turcotte United States 28 2.0k 1.6× 1.6k 2.1× 1.0k 2.4× 314 0.9× 209 1.1× 72 3.2k
Anthony E. Civitarese United States 15 1.2k 0.9× 700 0.9× 227 0.5× 462 1.3× 45 0.2× 18 1.7k
Anna G. Holmes Australia 9 1.1k 0.8× 732 1.0× 287 0.7× 443 1.3× 121 0.6× 9 1.7k
Britt Christensen Denmark 24 596 0.5× 356 0.5× 266 0.6× 266 0.8× 43 0.2× 53 1.6k
Greg M. Kowalski Australia 23 797 0.6× 831 1.1× 281 0.7× 416 1.2× 185 0.9× 60 1.8k
Iman Momken France 19 720 0.6× 618 0.8× 229 0.5× 94 0.3× 39 0.2× 35 1.4k

Countries citing papers authored by Sudip Bajpeyi

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Bajpeyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Bajpeyi

This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Bajpeyi. A scholar is included among the top collaborators of Sudip Bajpeyi 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 Sudip Bajpeyi. Sudip Bajpeyi 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.
Lawan, Ahmed, et al.. (2025). MAP Kinase Phosphatase-5 Deficiency Improves Endurance Exercise Capacity. Cells. 14(6). 410–410. 1 indexed citations
2.
Narváez, Gabriel, et al.. (2025). The additive effect of neuromuscular electrical stimulation and resistance training on muscle mass and strength. European Journal of Applied Physiology. 125(6). 1687–1700. 2 indexed citations
3.
Min, Kisuk, et al.. (2023). Effects of neuromuscular electrical stimulation on glycemic control: a systematic review and meta-analysis. Frontiers in Endocrinology. 14. 1222532–1222532. 7 indexed citations
4.
Lawan, Ahmed, Jongwha Chang, Md Nurunnabi, et al.. (2023). The beneficial role of exercise in preventing doxorubicin-induced cardiotoxicity. Frontiers in Physiology. 14. 1133423–1133423. 9 indexed citations
5.
Bajpeyi, Sudip, et al.. (2023). Effect of an acute long-duration exercise bout on skeletal muscle lipid droplet morphology, GLUT 4 protein, and perilipin protein expression. European Journal of Applied Physiology. 123(12). 2771–2778. 5 indexed citations
6.
7.
Meza, Cesar, Shaan Naughton, Deanne H. Hryciw, et al.. (2017). High Fat Diet Induced Obesity Impairs Skeletal Muscle Glycogen and Lipid Preservation After Adiponectin Incubation. TopSCHOLAR (Western Kentucky University). 2(9). 28. 1 indexed citations
8.
Meza, Cesar, et al.. (2017). Eight Weeks of Combined Exercise Training Induced Improvements in Insulin Sensitivity is Associated with Improvement in Aerobic Capacity, but not with Improvement in Strength.. TopSCHOLAR (Western Kentucky University). 2(9). 48. 2 indexed citations
9.
10.
Toledo, Frederico G. S., Darcy L. Johannsen, Jeffrey D. Covington, et al.. (2017). Impact of prolonged overfeeding on skeletal muscle mitochondria in healthy individuals. Diabetologia. 61(2). 466–475. 16 indexed citations
11.
Bajpeyi, Sudip, Magdalena Pasarica, Kevin E. Conley, et al.. (2016). Pioglitazone-induced improvements in insulin sensitivity occur without concomitant changes in muscle mitochondrial function. Metabolism. 69. 24–32. 21 indexed citations
12.
Covington, Jeffrey D., Robert C. Noland, Steven R. Smith, et al.. (2015). Perilipin 3 Differentially Regulates Skeletal Muscle Lipid Oxidation in Active, Sedentary, and Type 2 Diabetic Males. The Journal of Clinical Endocrinology & Metabolism. 100(10). 3683–3692. 38 indexed citations
13.
Covington, Jeffrey D., Sudip Bajpeyi, Cédric Moro, et al.. (2014). Potential effects of aerobic exercise on the expression of perilipin 3 in the adipose tissue of women with polycystic ovary syndrome: a pilot study. European Journal of Endocrinology. 172(1). 47–58. 16 indexed citations
14.
Champagne, Catherine M., Hongmei Han, Sudip Bajpeyi, et al.. (2013). Day-to-Day Variation in Food Intake and Energy Expenditure in Healthy Women: The Dietitian II Study. Journal of the Academy of Nutrition and Dietetics. 113(11). 1532–1538. 36 indexed citations
15.
Aas, Vigdis, Siril S. Bakke, Yuan Feng, et al.. (2013). Are cultured human myotubes far from home?. Cell and Tissue Research. 354(3). 671–682. 74 indexed citations
16.
Sparks, Lauren M., Cédric Moro, Barbara Ukropcová, et al.. (2011). Remodeling Lipid Metabolism and Improving Insulin Responsiveness in Human Primary Myotubes. PLoS ONE. 6(7). e21068–e21068. 52 indexed citations
17.
Galgani, José E., Neil M. Johannsen, Sudip Bajpeyi, et al.. (2011). Role of Skeletal Muscle Mitochondrial Density on Exercise‐Stimulated Lipid Oxidation. Obesity. 20(7). 1387–1393. 21 indexed citations
18.
Bajpeyi, Sudip, Magdalena Pasarica, Cédric Moro, et al.. (2011). Skeletal Muscle Mitochondrial Capacity and Insulin Resistance in Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 96(4). 1160–1168. 61 indexed citations
19.
Anunciado‐Koza, Rea P., Jingying Zhang, Jozef Ukropec, et al.. (2011). Inactivation of the Mitochondrial Carrier SLC25A25 (ATP-Mg2+/Pi Transporter) Reduces Physical Endurance and Metabolic Efficiency in Mice. Journal of Biological Chemistry. 286(13). 11659–11671. 80 indexed citations
20.
Moro, Cédric, Sudip Bajpeyi, & Steven R. Smith. (2007). Determinants of intramyocellular triglyceride turnover: implications for insulin sensitivity. American Journal of Physiology-Endocrinology and Metabolism. 294(2). E203–E213. 137 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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