Yunsuk Koh

699 total citations
35 papers, 344 citations indexed

About

Yunsuk Koh is a scholar working on Physiology, Rehabilitation and Epidemiology. According to data from OpenAlex, Yunsuk Koh has authored 35 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 9 papers in Rehabilitation and 8 papers in Epidemiology. Recurrent topics in Yunsuk Koh's work include Adipose Tissue and Metabolism (10 papers), Exercise and Physiological Responses (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Yunsuk Koh is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Exercise and Physiological Responses (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Yunsuk Koh collaborates with scholars based in United States, South Korea and United Kingdom. Yunsuk Koh's co-authors include Jonathan C. Jaoude, Kyung-Shin Park, Joseph A. Chromiak, Ben R. Abadie, Robert L. Brown, John Lamberth, David Nichols, Ronald A. Braswell, Jin Park and Rick Carter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and European Heart Journal.

In The Last Decade

Yunsuk Koh

31 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yunsuk Koh United States	11	125	58	54	54	52	35	344
Michael W. Schleh United States	8	214 1.7×	74 1.3×	55 1.0×	29 0.5×	47 0.9×	23	349
Nayoung Ahn South Korea	10	139 1.1×	36 0.6×	39 0.7×	30 0.6×	76 1.5×	40	293
Kevin J. Gries United States	10	185 1.5×	61 1.1×	65 1.2×	42 0.8×	57 1.1×	19	359
Sara Gregory United States	10	127 1.0×	44 0.8×	93 1.7×	28 0.5×	39 0.8×	15	465
Sérgio Eduardo de Andrade Perez Brazil	15	215 1.7×	75 1.3×	65 1.2×	106 2.0×	135 2.6×	33	621
J. S. Ruffino United Kingdom	9	204 1.6×	56 1.0×	41 0.8×	80 1.5×	56 1.1×	11	367
Oľga Kyselovičová Slovakia	7	317 2.5×	115 2.0×	78 1.4×	60 1.1×	103 2.0×	22	423
Daniel Alexander Bizjak Germany	11	144 1.2×	19 0.3×	48 0.9×	29 0.5×	46 0.9×	48	378
Mehrdad Fathi Iran	6	115 0.9×	46 0.8×	29 0.5×	37 0.7×	40 0.8×	22	323
Fernando Tadeu Trevisan Frajácomo Brazil	11	215 1.7×	36 0.6×	67 1.2×	99 1.8×	111 2.1×	25	567

Countries citing papers authored by Yunsuk Koh

Since Specialization

Citations

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

Fields of papers citing papers by Yunsuk Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsuk Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Yunsuk Koh. A scholar is included among the top collaborators of Yunsuk Koh 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 Yunsuk Koh. Yunsuk Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Koh, Yunsuk, et al.. (2024). Changes in brain-derived neurotropic factor following aerobic exercise. Sport Sciences for Health. 20(4). 1153–1167. 2 indexed citations

Koh, Yunsuk, et al.. (2024). A multifactorial lens on risk factors promoting the progression of Alzheimer’s disease. Brain Research. 1846. 149262–149262. 4 indexed citations

Allen, K. L., et al.. (2024). The effect of different breathing conditions on cerebral blood flow in young males during maximal aerobic exercise: A pilot study. SHILAP Revista de lepidopterología. 1(3). 195–203. 1 indexed citations

Mendez, Armando J., et al.. (2023). A framework of transient hypercapnia to achieve an increased cerebral blood flow induced by nasal breathing during aerobic exercise. SHILAP Revista de lepidopterología. 5. 100183–100183. 6 indexed citations

Ahn, Hyo‐Jeong, Eue‐Keun Choi, Yunsuk Koh, et al.. (2023). Clonal hematopoiesis of indeterminate potential in atrial fibrillation: prevalence and an association with progression. European Heart Journal. 44(Supplement_2). 1 indexed citations

Lee, Sang‐Hee, et al.. (2023). One-year Aerobic Interval Training Improves Endothelial Dysfunction in Patients with Atrial Fibrillation: A Randomized Trial. Internal Medicine. 62(17). 2465–2474. 6 indexed citations

Timon, Claire, et al.. (2022). A high carbohydrate-to-fiber ratio is associated with a low diet quality and high fat mass in young women. SHILAP Revista de lepidopterología. 30. 200163–200163. 2 indexed citations

Timon, Claire, et al.. (2022). Effects of Static Contemporary Western Yoga vs. a Dynamic Stretching Exercise Program on Body Composition, Balance, and Flexibility. The Journal of Strength and Conditioning Research. 37(5). 1064–1069. 1 indexed citations

Koh, Yunsuk, et al.. (2021). Acute Changes In Inflammatory Markers Following Exercise And Nonnutritive Sweeteners. Medicine & Science in Sports & Exercise. 53(8S). 266–266.

10.

Waldman, Hunter S., et al.. (2020). A 3-Week, Low-Carbohydrate, High-Fat Diet Improves Multiple Serum Inflammatory Markers in Endurance-Trained Males. The Journal of Strength and Conditioning Research. 36(9). 2502–2508. 4 indexed citations

11.

O’Neal, Eric K., et al.. (2019). Effects of a 3-week High-Fat-Low-Carbohydrate Diet on Lipid and Glucose Profiles in 8 Experienced, Middle-age Male Runners. International journal of exercise science. 12(2). 786–799. 11 indexed citations

12.

Koh, Yunsuk, et al.. (2018). Cell adhesion molecules and exercise. Journal of Inflammation Research. Volume 11. 297–306. 41 indexed citations

13.

Willoughby, Darryn S., et al.. (2018). Exercise-induced changes in stress hormones and cell adhesion molecules in obese men. Journal of Inflammation Research. Volume 11. 69–75. 4 indexed citations

14.

Koh, Yunsuk & Kyung-Shin Park. (2017). Responses of inflammatory cytokines following moderate intensity walking exercise in overweight or obese individuals. Journal of Exercise Rehabilitation. 13(4). 472–476. 31 indexed citations

15.

Schwarz, Neil A., et al.. (2015). Acute Changes in Soluble Cell Adhesion Molecules Following Different Intensities of Resistance Exercise. 5(6). 234–239. 2 indexed citations

16.

Alam, Farzana, et al.. (2015). The Positive Effects of Acute Resistance Exercise on Blood Lipid Profiles in College-Aged Men. TopSCHOLAR (Western Kentucky University). 2(7). 72.

17.

Schwarz, Neil A., et al.. (2015). Role of High-intensity Resistance Exercise in Vascular Inflammation in Recreationally Trained Men. TopSCHOLAR (Western Kentucky University). 2(7). 65. 1 indexed citations

18.

Koh, Yunsuk & Joshua Miller. (2013). Power-based Resistance Training Reduced Serum Oxidized Low-Density Lipoprotein in Athletes. 2(5). 61–67. 1 indexed citations

19.

Koh, Yunsuk, et al.. (2008). Effects of Dietary Caloric Restriction and Exercise on GLUT-2 in Liver and GLUT-4 and VAMP-2 in Muscle Tissue of Diabetic Rats. Medicine & Science in Sports & Exercise. 40(5). S347–S347. 4 indexed citations

20.

Chromiak, Joseph A., et al.. (2003). Resistance Training Exercises Acutely Reduce Intraocular Pressure in Physically Active Men and Women. The Journal of Strength and Conditioning Research. 17(4). 715–715. 23 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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