Su‐Min Jeong

4.2k total citations · 2 hit papers
117 papers, 2.8k citations indexed

About

Su‐Min Jeong is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Su‐Min Jeong has authored 117 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 24 papers in Cardiology and Cardiovascular Medicine and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Su‐Min Jeong's work include Liver Disease Diagnosis and Treatment (13 papers), Cancer, Lipids, and Metabolism (11 papers) and Cerebrovascular and Carotid Artery Diseases (9 papers). Su‐Min Jeong is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Cancer, Lipids, and Metabolism (11 papers) and Cerebrovascular and Carotid Artery Diseases (9 papers). Su‐Min Jeong collaborates with scholars based in South Korea, United States and Ethiopia. Su‐Min Jeong's co-authors include Dong Wook Shin, Kyungdo Han, Jin‐Ho Park, Ki‐Woong Nam, Sang Min Park, Joung Sik Son, Gyeongsil Lee, Kyuwoong Kim, Seulggie Choi and Hyung‐Min Kwon and has published in prestigious journals such as JAMA, PLoS ONE and Neurology.

In The Last Decade

Su‐Min Jeong

105 papers receiving 2.8k citations

Hit Papers

Disease-modifying therapeutic strategies in osteoarthriti... 2021 2026 2022 2024 2021 2024 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
Su‐Min Jeong South Korea 28 506 502 377 367 345 117 2.8k
Renzhe Cui Japan 27 770 1.5× 496 1.0× 479 1.3× 412 1.1× 211 0.6× 124 2.4k
Yu Fan China 31 412 0.8× 336 0.7× 194 0.5× 266 0.7× 682 2.0× 146 2.9k
Hamid Najafipour Iran 26 368 0.7× 322 0.6× 465 1.2× 398 1.1× 483 1.4× 181 2.5k
Apostolos Hatzitolios Greece 31 699 1.4× 846 1.7× 562 1.5× 416 1.1× 371 1.1× 171 3.3k
Alessandro Di Minno Italy 31 737 1.5× 379 0.8× 263 0.7× 247 0.7× 580 1.7× 125 3.0k
Hung‐Yuan Li Taiwan 32 411 0.8× 570 1.1× 759 2.0× 304 0.8× 747 2.2× 175 3.1k
Masaki Nagai Japan 33 306 0.6× 849 1.7× 226 0.6× 505 1.4× 435 1.3× 108 3.4k
Susanna Morano Italy 35 533 1.1× 320 0.6× 1.1k 2.9× 460 1.3× 681 2.0× 132 3.6k
Niclas Håkansson Sweden 35 267 0.5× 400 0.8× 186 0.5× 661 1.8× 542 1.6× 82 3.5k
Gregorio Caimi Italy 28 656 1.3× 502 1.0× 401 1.1× 851 2.3× 498 1.4× 222 3.1k

Countries citing papers authored by Su‐Min Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Min Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Min Jeong. 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 Su‐Min Jeong. The network helps show where Su‐Min Jeong may publish in the future.

Co-authorship network of co-authors of Su‐Min Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Min Jeong. A scholar is included among the top collaborators of Su‐Min Jeong 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 Su‐Min Jeong. Su‐Min Jeong 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.
Jeong, Su‐Min, et al.. (2025). Effects of the Interactions Between Food Additive Titanium Dioxide and Matrices on Genotoxicity. International Journal of Molecular Sciences. 26(2). 617–617.
3.
Han, Kyungdo, Jin‐Hyung Jung, Su‐Min Jeong, & Mee Kyoung Kim. (2024). Epidemiology and Trends of Obesity and Bariatric Surgery in Korea. Endocrinology and Metabolism. 39(5). 678–685. 2 indexed citations
4.
Cho, Mi Hee, Kyungdo Han, Seung Woo Lee, et al.. (2023). Blood pressure and dementia risk by physical frailty in the elderly: a nationwide cohort study. Alzheimer s Research & Therapy. 15(1). 56–56. 6 indexed citations
5.
Jeong, Su‐Min, Jung Eun Yoo, Keun Hye Jeon, et al.. (2023). Associations of reproductive factors with incidence of myocardial infarction and ischemic stroke in postmenopausal women: a cohort study. BMC Medicine. 21(1). 64–64. 12 indexed citations
6.
Cho, Eun Ju, Su‐Min Jeong, Goh Eun Chung, et al.. (2023). Gamma-glutamyl transferase and risk of all-cause and disease-specific mortality: a nationwide cohort study. Scientific Reports. 13(1). 1751–1751. 20 indexed citations
8.
Lee, Ji Won, Yohwan Yeo, Hee Young Ju, et al.. (2023). Current Status and Physicians’ Perspectives of Childhood Cancer Survivorship in Korea: A Nationwide Survey of Pediatric Hematologists/Oncologists. Journal of Korean Medical Science. 38(29). e230–e230. 2 indexed citations
9.
Chun, Sohyun, Kyungdo Han, Seung‐Woo Lee, et al.. (2022). Impact of Frailty on the Relationship between Blood Pressure and Cardiovascular Diseases and Mortality in Young-Old Adults. Journal of Personalized Medicine. 12(3). 418–418. 8 indexed citations
10.
Yeo, Yohwan, Dong Wook Shin, Kyungdo Han, et al.. (2022). Smoking, Alcohol Consumption, and the Risk of Thyroid Cancer: A Population-Based Korean Cohort Study of 10 Million People. Thyroid. 32(4). 440–448. 17 indexed citations
11.
Nam, Ki‐Woong, Hyung‐Min Kwon, Han‐Yeong Jeong, et al.. (2020). Visceral adiposity index is associated with silent brain infarct in a healthy population. Scientific Reports. 10(1). 9 indexed citations
12.
Cho, Mi Hee, Tae Gon Yoo, Su‐Min Jeong, & Dong Wook Shin. (2020). Association of Aspirin, Metformin, and Statin Use with Gastric Cancer Incidence and Mortality: A Nationwide Cohort Study. Cancer Prevention Research. 14(1). 95–104. 36 indexed citations
14.
Nam, Ki‐Woong, et al.. (2020). Pooled cohort risk equation and subclinical cerebrovascular diseases. European Journal of Neurology. 27(5). 793–799. 2 indexed citations
15.
Nam, Ki‐Woong, Hyuktae Kwon, Hyung‐Min Kwon, et al.. (2019). Abdominal fatness and cerebral white matter hyperintensity. Journal of the Neurological Sciences. 404. 52–57. 12 indexed citations
16.
Kim, Kyuwoong, Seulggie Choi, Gyeongsil Lee, et al.. (2019). Cancer risk among young men with weight gain after smoking cessation: A population-based cohort study. Cancer Epidemiology. 60. 86–92. 5 indexed citations
17.
Jeong, Su‐Min, Seulggie Choi, Kyuwoong Kim, et al.. (2018). Association of change in total cholesterol level with mortality: A population-based study. PLoS ONE. 13(4). e0196030–e0196030. 26 indexed citations
18.
Shin, Dong Wook, Mi Hee Cho, Shin-Hye Kim, et al.. (2017). Regional variations in frequency of glycosylated hemoglobin (HbA1c) monitoring in Korea: A multilevel analysis of nationwide data. Diabetes Research and Clinical Practice. 131. 61–69. 7 indexed citations
19.
Jeong, Su‐Min, et al.. (2015). Depression and Its Severity Are Strongly Associated with Both Storage and Voiding Lower Urinary Tract Symptoms Independently of Prostate Volume. Journal of Korean Medical Science. 30(11). 1646–1646. 12 indexed citations
20.
Jeong, Su‐Min, et al.. (2004). Effect of Seed Roasting Conditions on the Antioxidant Activity of Defatted Sesame Meal Extracts. Journal of Food Science. 69(5). 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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