Steven K. Malin

4.3k total citations
145 papers, 3.3k citations indexed

About

Steven K. Malin is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Steven K. Malin has authored 145 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Physiology, 38 papers in Cardiology and Cardiovascular Medicine and 32 papers in Molecular Biology. Recurrent topics in Steven K. Malin's work include Diet and metabolism studies (39 papers), Adipose Tissue and Metabolism (38 papers) and Metabolism, Diabetes, and Cancer (23 papers). Steven K. Malin is often cited by papers focused on Diet and metabolism studies (39 papers), Adipose Tissue and Metabolism (38 papers) and Metabolism, Diabetes, and Cancer (23 papers). Steven K. Malin collaborates with scholars based in United States, Denmark and Switzerland. Steven K. Malin's co-authors include John P. Kirwan, Barry Braun, Sangeeta Kashyap, Stuart R. Chipkin, Jacob M. Haus, Emily M. Heiston, Sangeeta R. Kashyap, Arthur Weltman, Thomas P. J. Solomon and Natalie Z.M. Eichner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Steven K. Malin

138 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven K. Malin United States 32 1.8k 819 749 572 549 145 3.3k
Thomas P. J. Solomon Denmark 41 2.2k 1.2× 1.2k 1.5× 796 1.1× 454 0.8× 436 0.8× 96 3.9k
Rachael E. Van Pelt United States 34 1.6k 0.9× 1.3k 1.6× 563 0.8× 447 0.8× 555 1.0× 59 4.1k
Charles J. Tanner United States 30 2.6k 1.5× 556 0.7× 995 1.3× 487 0.9× 513 0.9× 50 4.0k
S. John Weisnagel Canada 30 1.4k 0.8× 993 1.2× 725 1.0× 536 0.9× 360 0.7× 92 3.9k
Richard L. Seip United States 36 1.5k 0.8× 596 0.7× 544 0.7× 494 0.9× 902 1.6× 124 4.0k
Craig S. Stump United States 30 1.4k 0.8× 757 0.9× 1.1k 1.4× 385 0.7× 785 1.4× 68 3.3k
John J. Dubé United States 28 2.0k 1.1× 445 0.5× 1.1k 1.5× 356 0.6× 419 0.8× 50 3.9k
Catherine R. Mikus United States 20 1.3k 0.7× 616 0.8× 376 0.5× 204 0.4× 438 0.8× 31 2.3k
Kristian Karstoft Denmark 26 1.4k 0.8× 703 0.9× 425 0.6× 233 0.4× 326 0.6× 93 2.5k
Kenneth R. Wilund United States 38 1.3k 0.7× 503 0.6× 650 0.9× 1.2k 2.2× 1.1k 2.0× 128 4.6k

Countries citing papers authored by Steven K. Malin

Since Specialization
Citations

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

Fields of papers citing papers by Steven K. Malin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven K. Malin. 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 Steven K. Malin. The network helps show where Steven K. Malin may publish in the future.

Co-authorship network of co-authors of Steven K. Malin

This figure shows the co-authorship network connecting the top 25 collaborators of Steven K. Malin. A scholar is included among the top collaborators of Steven K. Malin 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 Steven K. Malin. Steven K. Malin 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
3.
Malin, Steven K., et al.. (2025). Pancreatic β‐cell Function is Higher in Morning Versus Intermediate Chronotypes With Obesity. Obesity Science & Practice. 11(2). e70064–e70064. 2 indexed citations
4.
Malin, Steven K.. (2025). Circadian rhythms and gastrointestinal hormone-related appetite regulation. Current Opinion in Endocrinology Diabetes and Obesity. 32(3). 97–101.
5.
Malin, Steven K., et al.. (2024). Exercise increases TCA intermediate concentrations during low‐calorie diet independent of insulin resistance among women with obesity. Physiological Reports. 12(7). e15987–e15987. 2 indexed citations
6.
Malin, Steven K., et al.. (2024). Exercise Training Independent of Intensity Lowers Plasma Bile Acids in Prediabetes. Medicine & Science in Sports & Exercise. 56(6). 1009–1017. 2 indexed citations
7.
Malin, Steven K., et al.. (2024). Intermediate versus morning chronotype has lower vascular insulin sensitivity in adults with obesity. Diabetes Obesity and Metabolism. 26(5). 1582–1592. 8 indexed citations
8.
Malin, Steven K., et al.. (2023). Plasma LEAP-2 Following a Low-Calorie Diet with or without Interval Exercise in Women with Obesity. Nutrients. 15(3). 655–655. 9 indexed citations
9.
Sciarrillo, Christina M., et al.. (2023). Cardiorespiratory fitness and submaximal exercise dynamics in normal-weight obesity and metabolically healthy obesity. European Journal of Applied Physiology. 124(4). 1131–1142. 3 indexed citations
10.
Yao, Nengliang, et al.. (2022). Exercise and Reduced Nicotine Content Cigarettes in Adult Female Smokers: A Pilot Trial. International Journal of Environmental Research and Public Health. 19(11). 6647–6647. 3 indexed citations
11.
Heiston, Emily M., Anna Ballantyne, Nathan R. Stewart, et al.. (2022). Insulin infusion decreases medium-sized extracellular vesicles in adults with metabolic syndrome. American Journal of Physiology-Endocrinology and Metabolism. 323(4). E378–E388. 9 indexed citations
12.
Malin, Steven K. & Nathan R. Stewart. (2020). Metformin May Contribute to Inter-individual Variability for Glycemic Responses to Exercise. Frontiers in Endocrinology. 11. 519–519. 21 indexed citations
13.
Hagobian, Todd, Andrew Schaffner, Christopher L. Kitts, et al.. (2020). Rationale and design of a randomized controlled trial examining oral administration of bisphenol A on hepatic glucose production and skeletal muscle insulin sensitivity in adults. Contemporary Clinical Trials Communications. 17. 100549–100549. 3 indexed citations
14.
Gilbertson, Nicole M., Sibylle Kranz, Arthur Weltman, et al.. (2017). Bariatric Surgery Resistance: Using Preoperative Lifestyle Medicine and/or Pharmacology for Metabolic Responsiveness. Obesity Surgery. 27(12). 3281–3291. 13 indexed citations
15.
Kirwan, John P., Steven K. Malin, Amanda R. Scelsi, et al.. (2016). A Whole-Grain Diet Reduces Cardiovascular Risk Factors in Overweight and Obese Adults: A Randomized Controlled Trial. Journal of Nutrition. 146(11). 2244–2251. 88 indexed citations
16.
Malin, Steven K., et al.. (2014). Exercise-Induced Lowering of Fetuin-A May Increase Hepatic Insulin Sensitivity. Medicine & Science in Sports & Exercise. 46(11). 2085–2090. 65 indexed citations
17.
Malin, Steven K., et al.. (2013). Independent and combined effects of exercise training and metformin on insulin sensitivity in individuals with prediabetes. Diabetes Technology & Therapeutics. 15. 4 indexed citations
18.
Malin, Steven K., et al.. (2013). β-Cell Dysfunction Is Associated with Metabolic Syndrome Severity in Adults. Metabolic Syndrome and Related Disorders. 12(2). 79–85. 36 indexed citations
19.
Malin, Steven K., John P. Kirwan, Chang Ling Sia, & Frank González. (2013). Glucose-Stimulated Oxidative Stress in Mononuclear Cells Is Related to Pancreatic β-Cell Dysfunction in Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 99(1). 322–329. 24 indexed citations
20.

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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