Jin‐Ho Koh

552 total citations
22 papers, 406 citations indexed

About

Jin‐Ho Koh is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Jin‐Ho Koh has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 15 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Jin‐Ho Koh's work include Adipose Tissue and Metabolism (17 papers), Muscle metabolism and nutrition (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). Jin‐Ho Koh is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Muscle metabolism and nutrition (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). Jin‐Ho Koh collaborates with scholars based in South Korea, United States and Canada. Jin‐Ho Koh's co-authors include John O. Holloszy, Jong‐Yeon Kim, Dong-Ho Han, Chad R. Hancock, Kazuhiko Higashida, K. Sreekumaran Nair, Surendra Dasari, Shin Terada, Dae Yun Seo and Gregory N. Ruegsegger and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

Jin‐Ho Koh

20 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Ho Koh South Korea 12 235 214 72 66 44 22 406
Zhiyin Liao China 12 271 1.2× 249 1.2× 72 1.0× 44 0.7× 51 1.2× 18 485
Meghan C. Hughes Canada 14 323 1.4× 303 1.4× 78 1.1× 94 1.4× 65 1.5× 24 579
Sílvia Paula-Gomes Brazil 11 262 1.1× 167 0.8× 62 0.9× 76 1.2× 51 1.2× 20 460
Patrick J. Ferrara United States 14 248 1.1× 222 1.0× 45 0.6× 77 1.2× 57 1.3× 27 427
Eric A.F. Herbst Canada 16 324 1.4× 375 1.8× 62 0.9× 136 2.1× 52 1.2× 21 623
María-Nieves Sanz France 6 288 1.2× 238 1.1× 67 0.9× 71 1.1× 43 1.0× 8 467
Bruce C. Frier Canada 11 150 0.6× 189 0.9× 57 0.8× 42 0.6× 52 1.2× 13 341
Michaela Rath Germany 11 196 0.8× 221 1.0× 71 1.0× 67 1.0× 65 1.5× 16 477
Kornelia Johann Germany 8 266 1.1× 310 1.4× 91 1.3× 77 1.2× 40 0.9× 16 536
Giulia Uguccioni Canada 8 399 1.7× 380 1.8× 88 1.2× 103 1.6× 91 2.1× 8 581

Countries citing papers authored by Jin‐Ho Koh

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Ho Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Ho Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Ho Koh. A scholar is included among the top collaborators of Jin‐Ho 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 Jin‐Ho Koh. Jin‐Ho Koh 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.
Bae, Seongryu, Sunga Kong, Chul‐Hyun Kim, et al.. (2025). Position statement: Evidence-Based Exercise Guidelines for Sarcopenia in Older Adults: Insights from the Korean Working Group on Sarcopenia. Annals of Geriatric Medicine and Research. 29(3). 278–294.
2.
Park, So‐Young, Hye-Na Cha, Sanghee Park, et al.. (2024). Inhibitory Regulation of FOXO1 in PPARδ Expression Drives Mitochondrial Dysfunction and Insulin Resistance. Diabetes. 73(7). 1084–1098. 8 indexed citations
3.
Song, Taejeong, Sanghee Park, HeeJoo Kim, et al.. (2024). Free essential amino acid feeding improves endurance during resistance training via DRP1‐dependent mitochondrial remodelling. Journal of Cachexia Sarcopenia and Muscle. 15(5). 1651–1663. 2 indexed citations
4.
Gu, Yu, et al.. (2024). Exercise improves muscle mitochondrial dysfunction-associated lipid profile under circadian rhythm disturbance. Korean Journal of Physiology and Pharmacology. 28(6). 515–526. 2 indexed citations
5.
Kim, Jong‐Yeon, et al.. (2024). Lactate promotes fatty acid oxidation by the tricarboxylic acid cycle and mitochondrial respiration in muscles of obese mice. American Journal of Physiology-Cell Physiology. 327(3). C619–C633. 4 indexed citations
6.
Koh, Jin‐Ho, Mark W. Pataky, Surendra Dasari, et al.. (2022). Enhancement of anaerobic glycolysis – a role of PGC-1α4 in resistance exercise. Nature Communications. 13(1). 2324–2324. 37 indexed citations
7.
8.
Koh, Jin‐Ho, HeeJoo Kim, Sanghee Park, et al.. (2022). Balanced Free Essential Amino Acids and Resistance Exercise Training Synergistically Improve Dexamethasone-Induced Impairments in Muscle Strength, Endurance, and Insulin Sensitivity in Mice. International Journal of Molecular Sciences. 23(17). 9735–9735. 11 indexed citations
9.
Koh, Jin‐Ho, et al.. (2021). Lithium enhances exercise-induced glycogen breakdown and insulin-induced AKT activation to facilitate glucose uptake in rodent skeletal muscle. Pflügers Archiv - European Journal of Physiology. 473(4). 673–682. 6 indexed citations
10.
Koh, Jin‐Ho, Yong‐Woon Kim, Dae Yun Seo, & Tae Seo Sohn. (2021). Mitochondrial TFAM as a Signaling Regulator between Cellular Organelles: A Perspective on Metabolic Diseases. Diabetes & Metabolism Journal. 45(6). 853–865. 31 indexed citations
11.
Koh, Jin‐Ho & Jong‐Yeon Kim. (2021). Role of PGC-1α in the Mitochondrial NAD+ Pool in Metabolic Diseases. International Journal of Molecular Sciences. 22(9). 4558–4558. 29 indexed citations
12.
Seo, Dae Yun, Hyo‐Bum Kwak, Tae Nyun Kim, et al.. (2021). Hepatokines as a Molecular Transducer of Exercise. Journal of Clinical Medicine. 10(3). 385–385. 22 indexed citations
13.
14.
Holloszy, John O., et al.. (2020). Exercise Training-Induced PPARβ Increases PGC-1α Protein Stability and Improves Insulin-Induced Glucose Uptake in Rodent Muscles. Nutrients. 12(3). 652–652. 19 indexed citations
15.
Koh, Jin‐Ho, Chad R. Hancock, Dong-Ho Han, et al.. (2019). AMPK and PPARβ positive feedback loop regulates endurance exercise training-mediated GLUT4 expression in skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 316(5). E931–E939. 31 indexed citations
16.
Koh, Jin‐Ho, Matthew L. Johnson, Surendra Dasari, et al.. (2019). TFAM Enhances Fat Oxidation and Attenuates High-Fat Diet–Induced Insulin Resistance in Skeletal Muscle. Diabetes. 68(8). 1552–1564. 67 indexed citations
17.
Koh, Jin‐Ho, Chad R. Hancock, Shin Terada, et al.. (2017). PPARβ Is Essential for Maintaining Normal Levels of PGC-1α and Mitochondria and for the Increase in Muscle Mitochondria Induced by Exercise. Cell Metabolism. 25(5). 1176–1185.e5. 77 indexed citations
18.
Koh, Jin‐Ho & Ki‐Jin Kim. (2017). The Effects of Tfam Expression by Endurance Exercise on AMPK, PPARβ/δ and PGC-1α in Mouse Skeletal Muscle. Han'gug che'yug hag'hoeji. Inmun sa'hoe gwa'hag'pyeon/Hanguk cheyuk hakoeji. 56(2). 517–526.
19.
Koh, Jin‐Ho, et al.. (2017). Effect of Lithium on the Mechanism of Glucose Transport in Skeletal Muscles. Journal of Nutritional Science and Vitaminology. 63(6). 365–371. 9 indexed citations
20.
Kim, Kijin, et al.. (2015). Association of angiotensin-converting enzyme I/D and α-actinin-3 R577X genotypes with metabolic syndrome risk factors in Korean children. Obesity Research & Clinical Practice. 10. S125–S132. 8 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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