Chang‐Myung Oh

3.3k total citations · 1 hit paper
76 papers, 1.9k citations indexed

About

Chang‐Myung Oh is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chang‐Myung Oh has authored 76 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 21 papers in Molecular Biology and 16 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chang‐Myung Oh's work include Adipose Tissue and Metabolism (9 papers), Diet and metabolism studies (7 papers) and Diabetes Treatment and Management (7 papers). Chang‐Myung Oh is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Diet and metabolism studies (7 papers) and Diabetes Treatment and Management (7 papers). Chang‐Myung Oh collaborates with scholars based in South Korea, United States and Switzerland. Chang‐Myung Oh's co-authors include Hail Kim, Shinje Moon, Kyoo Ho Cho, Ha Yan Kim, Min Kyung Chu, Han Kyu Na, Hyeongseok Kim, Jae Myung Yu, Jun Namkung and Minho Shong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chang‐Myung Oh

71 papers receiving 1.9k citations

Hit Papers

Mitochondria-associated programmed cell death as a therap... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang‐Myung Oh South Korea 23 599 537 303 249 238 76 1.9k
Rong Ying United States 23 599 1.0× 558 1.0× 341 1.1× 234 0.9× 188 0.8× 41 2.6k
Olga Pivovarova‐Ramich Germany 25 857 1.4× 460 0.9× 425 1.4× 204 0.8× 388 1.6× 76 1.8k
Lisa S. Chow United States 25 1.2k 2.0× 445 0.8× 450 1.5× 255 1.0× 217 0.9× 83 2.3k
Francesca Bonomini Italy 26 520 0.9× 594 1.1× 176 0.6× 174 0.7× 247 1.0× 62 2.1k
Michael Morcos Germany 18 406 0.7× 489 0.9× 531 1.8× 120 0.5× 164 0.7× 41 2.5k
Martijn van Faassen Netherlands 22 371 0.6× 621 1.2× 221 0.7× 167 0.7× 160 0.7× 105 1.9k
Eun Roh South Korea 23 728 1.2× 361 0.7× 463 1.5× 329 1.3× 300 1.3× 81 1.9k
Saeid Golbidi Canada 23 746 1.2× 344 0.6× 206 0.7× 136 0.5× 255 1.1× 36 2.0k
Hitomi Ogata Japan 23 992 1.7× 409 0.8× 220 0.7× 127 0.5× 616 2.6× 60 1.9k
Rui Chen China 24 354 0.6× 683 1.3× 214 0.7× 125 0.5× 412 1.7× 87 2.1k

Countries citing papers authored by Chang‐Myung Oh

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Myung Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Myung Oh. 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 Chang‐Myung Oh. The network helps show where Chang‐Myung Oh may publish in the future.

Co-authorship network of co-authors of Chang‐Myung Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Myung Oh. A scholar is included among the top collaborators of Chang‐Myung Oh 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 Chang‐Myung Oh. Chang‐Myung Oh 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.
Choi, Won‐Il, Yooun Heo, Dong‐Gun Kim, et al.. (2025). Synthesis and Biological Evaluation of Peripheral 5HT2B Antagonists for Liver Fibrosis. Journal of Medicinal Chemistry. 68(6). 6493–6506. 2 indexed citations
2.
Wei, Shibo, Thai Thanh Hoang Thi, Jung‐Nyoung Heo, et al.. (2025). Hydrogen Peroxide-Releasing Hydrogel-Mediated Cellular Senescence Model for Aging Research. Biomaterials Research. 29. 161–161. 1 indexed citations
3.
Lee, Taesic, et al.. (2025). Metabolic outcomes in non-alcoholic and alcoholic steatotic liver disease among Korean and American adults. BMC Gastroenterology. 25(1). 110–110.
4.
Shin, Mi Hwa, et al.. (2025). Thrombospondin-1 modulation by Bifidobacterium spp. mitigates lung damage in an acute lung injury mouse model. Microbiological Research. 297. 128173–128173. 2 indexed citations
5.
Kim, Minhee, Jun Young Choi, Hail Kim, et al.. (2025). Synthesis and Biological Evaluation of Peripheral HTR2A Antagonists for Colorectal Cancer. Journal of Medicinal Chemistry. 68(2). 1716–1730. 1 indexed citations
6.
Kim, Minjeong, Su Hwan Kim, Juewon Kim, et al.. (2024). Ginsenoside-Re-rich ethanol extract of Panax ginseng berry enhances healthspan extension via mitostasis and NAD metabolism. Journal of Ginseng Research. 49(1). 92–102.
7.
Oh, Chang‐Myung, et al.. (2024). An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data. Diabetes & Metabolism Journal. 49(1). 92–104. 1 indexed citations
8.
Park, Jiwon, Shinje Moon, Sungsoo Cho, et al.. (2024). Cardiometabolic benefits of fenofibrate in heart failure related to obesity and diabetes. Cardiovascular Diabetology. 23(1). 343–343. 7 indexed citations
9.
Kim, Joon, Seung Hyun Yong, Raekil Park, et al.. (2024). Spatial profiling of non-small cell lung cancer provides insights into tumorigenesis and immunotherapy response. Communications Biology. 7(1). 930–930. 2 indexed citations
10.
Jang, Ji‐Yong, et al.. (2023). Assessment HOMA as a predictor for new onset diabetes mellitus and diabetic complications in non-diabetic adults: a KoGES prospective cohort study. SHILAP Revista de lepidopterología. 9(1). 12 indexed citations
11.
Kang, Jiseung, et al.. (2023). Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity. Frontiers in Endocrinology. 14. 1117259–1117259. 8 indexed citations
12.
Kim, Hyeonhui, et al.. (2023). LY6D is crucial for lipid accumulation and inflammation in nonalcoholic fatty liver disease. Experimental & Molecular Medicine. 55(7). 1479–1491. 6 indexed citations
13.
Kim, Joon, Chang‐Myung Oh, & Hyeongseok Kim. (2023). The Interplay of Adipokines and Pancreatic Beta Cells in Metabolic Regulation and Diabetes. Biomedicines. 11(9). 2589–2589. 22 indexed citations
14.
Nguyễn, Thanh Tùng, Shibo Wei, Ha Nguyen Thi Thu, et al.. (2023). Mitochondria-associated programmed cell death as a therapeutic target for age-related disease. Experimental & Molecular Medicine. 55(8). 1595–1619. 159 indexed citations breakdown →
15.
Shin, Soyeon, et al.. (2023). Mitochondrial Quality Control: Its Role in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). Journal of Obesity & Metabolic Syndrome. 32(4). 289–302. 28 indexed citations
16.
Cho, Sung Woo, et al.. (2023). Pharmacologic Activation of Angiotensin-Converting Enzyme II Alleviates Diabetic Cardiomyopathy in db/db Mice by Reducing Reactive Oxidative Stress. Diabetes & Metabolism Journal. 47(4). 487–499. 7 indexed citations
18.
Park, Jihwan, et al.. (2022). Apelin as a new therapeutic target for COVID-19 treatment. QJM. 116(3). 197–204. 7 indexed citations
19.
Oh, Chang‐Myung, et al.. (2011). A Case of POEMS Syndrome that Presented with a Moderate Pericardial Effusion. The Korean Journal of Internal Medicine. 81(2). 245–250.
20.
Nonoguchi, Hiroshi, Yasuji Terada, Jun Koike, et al.. (1994). 蛋白尿症のエンドセリン-1(ET-1)の尿中排泄の役割と慢性腎疾患患者のナトリウム排泄. Journal of the American Society of Nephrology. 5(3). 342. 1 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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