Young Min Cho

13.6k total citations
280 papers, 8.1k citations indexed

About

Young Min Cho is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Young Min Cho has authored 280 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Endocrinology, Diabetes and Metabolism, 92 papers in Molecular Biology and 75 papers in Surgery. Recurrent topics in Young Min Cho's work include Diabetes Treatment and Management (72 papers), Diabetes Management and Research (45 papers) and Pancreatic function and diabetes (44 papers). Young Min Cho is often cited by papers focused on Diabetes Treatment and Management (72 papers), Diabetes Management and Research (45 papers) and Pancreatic function and diabetes (44 papers). Young Min Cho collaborates with scholars based in South Korea, United States and Ethiopia. Young Min Cho's co-authors include Kyong Soo Park, Hong Kyu Lee, Soo Heon Kwak, Timothy J. Kieffer, Hak Chul Jang, Soo Lim, Hye Seung Jung, Tae Jung Oh, Byung‐Soo Youn and Sung Hee Choi and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Young Min Cho

262 papers receiving 7.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Min Cho South Korea 46 3.0k 2.1k 1.6k 1.5k 1.3k 280 8.1k
Xin Gao China 47 2.7k 0.9× 1.8k 0.8× 1.3k 0.8× 1.1k 0.7× 2.4k 1.8× 466 9.1k
Jiajun Zhao China 43 2.8k 0.9× 2.7k 1.3× 991 0.6× 1.0k 0.7× 1.2k 0.9× 335 7.5k
Carla Giordano Italy 49 1.6k 0.6× 3.4k 1.6× 1.3k 0.9× 1.7k 1.2× 1.5k 1.1× 297 9.4k
Francesco Bèguinot Italy 49 4.2k 1.4× 1.3k 0.6× 1.1k 0.7× 2.2k 1.5× 1.5k 1.2× 200 9.2k
William L. Lowe United States 48 2.4k 0.8× 2.0k 1.0× 1.4k 0.9× 738 0.5× 317 0.2× 165 6.3k
Ling Li China 38 1.7k 0.6× 1.1k 0.5× 699 0.5× 686 0.5× 675 0.5× 236 4.9k
Gangyi Yang China 44 2.1k 0.7× 1.3k 0.6× 770 0.5× 1.4k 0.9× 1.4k 1.1× 237 6.0k
Roy Taylor United Kingdom 59 2.2k 0.7× 4.3k 2.0× 3.1k 2.0× 4.5k 3.1× 2.7k 2.1× 287 12.1k
Hiroyuki Morita Japan 47 2.2k 0.8× 1.7k 0.8× 1.5k 1.0× 1.0k 0.7× 732 0.6× 549 9.5k
Xiangmei Chen China 52 3.3k 1.1× 658 0.3× 1.3k 0.8× 1.2k 0.8× 1.1k 0.8× 578 10.8k

Countries citing papers authored by Young Min Cho

Since Specialization
Citations

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

Fields of papers citing papers by Young Min Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Min Cho. 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 Young Min Cho. The network helps show where Young Min Cho may publish in the future.

Co-authorship network of co-authors of Young Min Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Young Min Cho. A scholar is included among the top collaborators of Young Min Cho 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 Young Min Cho. Young Min Cho 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.
Guntuku, Sharath Chandra, Garrick Sherman, Tingting Liu, et al.. (2025). Understanding gender and age differences in language use: cross-cultural insights from Weibo and Facebook. Humanities and Social Sciences Communications. 12(1).
2.
Cho, Young Min, Stuti Thapa, Garrick Sherman, et al.. (2025). Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination. 5586–5600. 1 indexed citations
3.
Jeong, Kyung Hwan, Sun Joon Moon, Vega Pradana Rachim, et al.. (2025). Enhanced Post-Prandial Glycemic Response Prediction in Type 2 Diabetes with Microbiome Data and Deep Learning. IEEE Journal of Biomedical and Health Informatics. 30(1). 643–654.
4.
Stamatis, Caitlin A., Jonah Meyerhoff, Young Min Cho, et al.. (2024). Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study. SHILAP Revista de lepidopterología. 3(1). 1–1. 19 indexed citations
5.
6.
Bea, Sungho, Han Eol Jeong, Kristian B. Filion, et al.. (2023). Outcomes of SGLT-2i and GLP-1RA Therapy Among Patients With Type 2 Diabetes and Varying NAFLD Status. JAMA Network Open. 6(12). e2349856–e2349856. 9 indexed citations
7.
Cho, Young Min, et al.. (2023). Tongue necrosis secondary to giant cell arteritis, successfully treated with tocilizumab: a case report. BMC Musculoskeletal Disorders. 24(1). 382–382. 2 indexed citations
8.
Park, Ji‐Hyeon, Yeon‐Ju Huh, Yun‐Suhk Suh, et al.. (2023). Clinical Outcomes of Resectional Roux-en-Y Gastric Bypass, Compared to Sleeve Gastrectomy for Severe Obesity. Obesity Surgery. 33(5). 1338–1346. 2 indexed citations
9.
Malik, Jagannath, et al.. (2022). Minimally Invasive Implant Type Electromagnetic Biosensor for Continuous Glucose Monitoring System: In Vivo Evaluation. IEEE Transactions on Biomedical Engineering. 70(3). 1000–1011. 15 indexed citations
10.
11.
Cho, Young Min, et al.. (2022). Multi-Task Disentangled Autoencoder for Time-Series Data in Glucose Dynamics. IEEE Journal of Biomedical and Health Informatics. 26(9). 4702–4713. 7 indexed citations
12.
Yun, Young Ho, EunKyo Kang, Young Min Cho, et al.. (2019). Efficacy of an Electronic Health Management Program for Patients With Cardiovascular Risk: Randomized Controlled Trial. Journal of Medical Internet Research. 22(1). e15057–e15057. 14 indexed citations
13.
Kang, Yu Mi, Chang Hee Jung, Seung‐Hwan Lee, et al.. (2019). Effectiveness and Safety of Adding Basal Insulin Glargine in Patients with Type 2 Diabetes Mellitus Exhibiting Inadequate Response to Metformin and DPP-4 Inhibitors with or without Sulfonylurea. Diabetes & Metabolism Journal. 43(4). 432–432. 2 indexed citations
14.
Cho, Young Min, et al.. (2019). The role of edge-oxidized graphene to improve the thermopower of p-type bismuth telluride-based thick films. Applied Surface Science. 476. 533–538. 10 indexed citations
15.
Yang, Ye, Eun Roh, Chang Ho Ahn, et al.. (2018). Fimasartan increases glucose‐stimulated insulin secretion in patients with type 2 diabetes and hypertension compared with amlodipine. Diabetes Obesity and Metabolism. 20(7). 1670–1677. 6 indexed citations
16.
Cho, Young Min. (2017). Characteristics of the pathophysiology of type 2 diabetes in Asians. Annals of Laparoscopic and Endoscopic Surgery. 2(2). 14–14. 7 indexed citations
17.
Oh, Tae Jung, Jung Chan Lee, Myung-Joon Kim, et al.. (2016). In-Silico Trials for Glucose Control in Hospitalized Patients with Type 2 Diabetes. Journal of Korean Medical Science. 31(2). 231–231. 2 indexed citations
18.
Oh, Tae Jung, et al.. (2016). Application of the Oral Minimal Model to Korean Subjects with Normal Glucose Tolerance and Type 2 Diabetes Mellitus. Diabetes & Metabolism Journal. 40(4). 308–308. 2 indexed citations
19.
Lee, Yong‐ho, Jae Hyeon Kim, So Ra Kim, et al.. (2016). Lobeglitazone, a Novel Thiazolidinedione, Improves Non-Alcoholic Fatty Liver Disease in Type 2 Diabetes: Its Efficacy and Predictive Factors Related to Responsiveness. Journal of Korean Medical Science. 32(1). 60–60. 84 indexed citations
20.
Oh, Tae Jung, Jung Chan Lee, Min Young Kim, et al.. (2014). Simulation of Oral Glucose Tolerance Tests and the Corresponding Isoglycemic Intravenous Glucose Infusion Studies for Calculation of the Incretin Effect. Journal of Korean Medical Science. 29(3). 378–378. 10 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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