Sung‐Jin Bae

1.1k total citations
37 papers, 749 citations indexed

About

Sung‐Jin Bae is a scholar working on Physiology, Surgery and Epidemiology. According to data from OpenAlex, Sung‐Jin Bae has authored 37 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Sung‐Jin Bae's work include Nutrition and Health in Aging (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Body Composition Measurement Techniques (7 papers). Sung‐Jin Bae is often cited by papers focused on Nutrition and Health in Aging (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Body Composition Measurement Techniques (7 papers). Sung‐Jin Bae collaborates with scholars based in South Korea, Switzerland and Canada. Sung‐Jin Bae's co-authors include Hong‐Kyu Kim, Min Jung Lee, Jaewon Choe, Jung‐Min Koh, Young‐Ho Khang, Ghi Su Kim, Duk Jae Kim, Chul‐Hee Kim, Joong‐Yeol Park and Eun Hee Kim and has published in prestigious journals such as Scientific Reports, The Journals of Gerontology Series A and Osteoporosis International.

In The Last Decade

Sung‐Jin Bae

35 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Jin Bae South Korea 14 367 154 137 133 126 37 749
Yu‐Hsien Lai Taiwan 16 268 0.7× 103 0.7× 51 0.4× 106 0.8× 73 0.6× 76 739
Dyah Purnamasari Indonesia 12 214 0.6× 135 0.9× 44 0.3× 207 1.6× 279 2.2× 60 838
Aziz A. Alkatib United States 10 133 0.4× 127 0.8× 209 1.5× 41 0.3× 117 0.9× 14 967
Nisrin O. Abu Elnour United States 6 159 0.4× 264 1.7× 392 2.9× 46 0.3× 226 1.8× 6 1.1k
María Remedios Alemán Valls Spain 16 144 0.4× 100 0.6× 91 0.7× 265 2.0× 48 0.4× 43 772
Ya Zhang China 15 150 0.4× 65 0.4× 80 0.6× 209 1.6× 68 0.5× 36 679
Alexander J. Rodríguez Australia 17 125 0.3× 91 0.6× 184 1.3× 68 0.5× 42 0.3× 43 698
Gregory Kotler United States 13 114 0.3× 101 0.7× 111 0.8× 63 0.5× 55 0.4× 21 873
Yuan‐Yuei Chen Taiwan 14 155 0.4× 60 0.4× 43 0.3× 62 0.5× 41 0.3× 47 536
Alfonso Vidal‐Casariego Spain 16 414 1.1× 47 0.3× 35 0.3× 46 0.3× 78 0.6× 78 772

Countries citing papers authored by Sung‐Jin Bae

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Jin Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Jin Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Jin Bae. A scholar is included among the top collaborators of Sung‐Jin Bae 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 Sung‐Jin Bae. Sung‐Jin Bae 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.
Lim, Ji Yeon, et al.. (2025). The clinical frailty scale improves risk prediction in older emergency department patients: a comparison with qSOFA, NEWS2, and REMS. Scientific Reports. 15(1). 12584–12584. 3 indexed citations
2.
Bae, Sung‐Jin, et al.. (2025). Comparison of early warning scores for predicting outcomes in adult and older patients in emergency department: Multicenter study. The American Journal of Emergency Medicine. 96. 91–97. 1 indexed citations
3.
Lim, Ji Yeon, et al.. (2024). Comparative Clinical Characteristics of Frail Older Adults in the Emergency Department: Long-Term Care Hospital versus Community Residence. Journal of Personalized Medicine. 14(10). 1026–1026. 1 indexed citations
4.
Bae, Sung‐Jin, et al.. (2024). Lactate to albumin ratio as a prognosis predictor in gastrointestinal bleeding in the emergency department. Internal and Emergency Medicine. 20(3). 877–885. 2 indexed citations
5.
Seo, Je Hyun, Jung‐Min Koh, Hanjun Kim, et al.. (2024). Sphingolipid metabolites as potential circulating biomarkers for sarcopenia in men. Journal of Cachexia Sarcopenia and Muscle. 15(6). 2476–2486. 4 indexed citations
6.
7.
Lee, Dong Hoon, et al.. (2024). Predictors for emergency readmission in patients with ureteral calculi: a focus on pain management and stone location. World Journal of Urology. 42(1). 119–119.
8.
Park, Sujin, Eun Ok Kim, Eun-Ju Chang, et al.. (2023). The seasonality of carbapenemase-producing Enterobacterales in South Korea. Journal of Hospital Infection. 140. 87–89. 1 indexed citations
9.
Kim, Hong‐Kyu, Sung‐Jin Bae, Min Jung Lee, et al.. (2023). Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity. Clinical and Molecular Hepatology. 29(4). 987–1001. 27 indexed citations
10.
Lee, Dong Hoon, Sung‐Jin Bae, Ji Young Park, et al.. (2022). A Comparison of Emergency Department Revisit Rates of Pediatric Patients between Pre-COVID-19 and COVID-19 Periods. Children. 9(7). 1003–1003. 2 indexed citations
11.
Kim, Eun Hee, Hong‐Kyu Kim, Min Jung Lee, et al.. (2021). Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus. Diabetes & Metabolism Journal. 46(3). 486–498. 45 indexed citations
12.
Kim, Hong‐Kyu, Kyung Won Kim, Eun Hee Kim, et al.. (2021). Age-related changes in muscle quality and development of diagnostic cutoff points for myosteatosis in lumbar skeletal muscles measured by CT scan. Clinical Nutrition. 40(6). 4022–4028. 49 indexed citations
13.
Green, Alex E., Sung‐Jin Bae, Ki‐Tae Ha, et al.. (2020). Sarcopenia and Muscle Aging: A Brief Overview. Endocrinology and Metabolism. 35(4). 716–732. 156 indexed citations
14.
Kim, Eun Hee, Hong‐Kyu Kim, Sung‐Jin Bae, et al.. (2018). Gender differences of visceral fat area for predicting incident type 2 diabetes in Koreans. Diabetes Research and Clinical Practice. 146. 93–100. 16 indexed citations
15.
Kim, Chul‐Hee, Hong‐Kyu Kim, Eunhee Kim, et al.. (2016). Risk of progression to diabetes from prediabetes defined by HbA1c or fasting plasma glucose criteria in Koreans. Diabetes Research and Clinical Practice. 118. 105–111. 23 indexed citations
16.
Kim, Chul‐Hee, et al.. (2014). Association of restrictive ventilatory dysfunction with the development of prediabetes and type 2 diabetes in Koreans. Acta Diabetologica. 52(2). 357–363. 11 indexed citations
17.
Bae, Sung‐Jin, et al.. (2012). Visceral-to-subcutaneous fat ratio using fat measurement CT is essential for the assessment of risk for diabetes, hypertension and early atherosclerosis. 15th International & 14th European Congress of Endocrinology. 29. 1 indexed citations
18.
Kim, Chul‐Hee, Hong‐Kyu Kim, Sung‐Jin Bae, Eunhee Kim, & Joong‐Yeol Park. (2012). Independent Impact of Body Mass Index and Metabolic Syndrome on the Risk of Type 2 Diabetes in Koreans. Metabolic Syndrome and Related Disorders. 10(5). 321–325. 16 indexed citations
19.
Kim, Hong‐Kyu, Chul‐Hee Kim, Eunhee Kim, Sung‐Jin Bae, & Joong‐Yeol Park. (2011). Usefulness of hemoglobin A1c as a criterion of dysglycemia in the definition of metabolic syndrome in Koreans. Diabetes Research and Clinical Practice. 95(3). 333–339. 8 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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