Sunghwan Suh

3.8k total citations
100 papers, 2.3k citations indexed

About

Sunghwan Suh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Sunghwan Suh has authored 100 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Endocrinology, Diabetes and Metabolism, 33 papers in Surgery and 25 papers in Molecular Biology. Recurrent topics in Sunghwan Suh's work include Diabetes Treatment and Management (18 papers), Diabetes Management and Research (17 papers) and Metabolism, Diabetes, and Cancer (17 papers). Sunghwan Suh is often cited by papers focused on Diabetes Treatment and Management (18 papers), Diabetes Management and Research (17 papers) and Metabolism, Diabetes, and Cancer (17 papers). Sunghwan Suh collaborates with scholars based in South Korea, United States and Ethiopia. Sunghwan Suh's co-authors include Jae Hyeon Kim, Kwang‐Won Kim, Mi Kyoung Park, Sang‐Man Jin, Ji Cheol Bae, Moon‐Kyu Lee, Yong‐Ki Min, Se Won Kim, Kyu Yeon Hur and Duk Kyu Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sunghwan Suh

95 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunghwan Suh South Korea 26 1.4k 603 467 349 277 100 2.3k
Marek Bolanowski Poland 23 1.1k 0.8× 486 0.8× 447 1.0× 282 0.8× 177 0.6× 206 2.3k
In Joo Kim South Korea 26 1.0k 0.8× 474 0.8× 479 1.0× 220 0.6× 191 0.7× 136 2.6k
Benedetta Maria Bonora Italy 23 1.2k 0.9× 503 0.8× 592 1.3× 179 0.5× 337 1.2× 52 2.0k
Manjula K. Gupta United States 30 1.1k 0.8× 563 0.9× 512 1.1× 309 0.9× 248 0.9× 93 2.5k
Jens Aberle Germany 24 1.4k 1.1× 1.0k 1.7× 471 1.0× 332 1.0× 278 1.0× 133 2.9k
Jingqiang Zhu China 26 1.2k 0.8× 921 1.5× 404 0.9× 137 0.4× 153 0.6× 140 2.3k
Marina Scavini Italy 31 1.2k 0.9× 974 1.6× 499 1.1× 328 0.9× 806 2.9× 116 3.0k
Andromachi Vryonidou Greece 22 805 0.6× 339 0.6× 292 0.6× 293 0.8× 138 0.5× 67 1.9k
Ilaria Dicembrini Italy 35 2.5k 1.8× 857 1.4× 1.2k 2.6× 372 1.1× 252 0.9× 87 3.3k
Satinath Mukhopadhyay India 26 961 0.7× 601 1.0× 862 1.8× 909 2.6× 304 1.1× 150 3.2k

Countries citing papers authored by Sunghwan Suh

Since Specialization
Citations

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

Fields of papers citing papers by Sunghwan Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunghwan Suh. 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 Sunghwan Suh. The network helps show where Sunghwan Suh may publish in the future.

Co-authorship network of co-authors of Sunghwan Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghwan Suh. A scholar is included among the top collaborators of Sunghwan Suh 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 Sunghwan Suh. Sunghwan Suh 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.
2.
Kim, Hye In, Jae J. Kim, Jung Hwan Cho, et al.. (2024). Triiodothyronine Is Associated with Incidence/Resolution of Steatotic Liver Disease: Longitudinal Study in Euthyroid Korean. Endocrinology and Metabolism. 40(1). 135–145.
3.
Cho, Jung Hwan & Sunghwan Suh. (2024). Glucocorticoid-Induced Hyperglycemia: A Neglected Problem. Endocrinology and Metabolism. 39(2). 222–238. 15 indexed citations
4.
5.
Song, Sun Ok, Min Jin Kang, & Sunghwan Suh. (2024). Intensity of statin therapy and primary prevention of cardiovascular in Korean patients with dyslipidemia. Medicine. 103(11). e37536–e37536.
6.
Bae, Ji Cheol, et al.. (2023). Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey. Endocrinology and Metabolism. 38(5). 538–544. 1 indexed citations
7.
Seok, Ju Won, Keunyoung Kim, Hye Young Kim, et al.. (2022). Effectiveness of prophylactic calcium and vitamin D supplementation for preventing post-thyroidectomy hypocalcemia: a meta-analysis. SHILAP Revista de lepidopterología. 37(3). 213–219. 1 indexed citations
8.
Suh, Sunghwan, et al.. (2022). Adult-Onset Type 1 Diabetes Development Following COVID-19 mRNA Vaccination. Journal of Korean Medical Science. 38(2). e12–e12. 13 indexed citations
9.
Bae, Ji Cheol, Soo Heon Kwak, Hyun Jin Kim, et al.. (2021). Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study). Diabetes & Metabolism Journal. 46(1). 81–92. 9 indexed citations
10.
Suh, Sunghwan, Tae Sik Goh, Yun Hak Kim, et al.. (2020). Development and Validation of a Risk Scoring System Derived from Meta-Analyses of Papillary Thyroid Cancer. Endocrinology and Metabolism. 35(2). 435–442. 3 indexed citations
11.
Kwak, Soo Heon, You‐Cheol Hwang, Jong Chul Won, et al.. (2019). Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open‐label, active‐controlled, 12‐week study (STABLE II study). Diabetes Obesity and Metabolism. 22(2). 173–181. 16 indexed citations
12.
Cho, Nam H., Young‐Rak Cho, Mi Kyoung Park, et al.. (2019). Effect of Blood Pressure on Cardiovascular Diseases at 10-Year Follow-Up. The American Journal of Cardiology. 123(10). 1654–1659. 2 indexed citations
13.
Suh, Sunghwan & Kwang‐Won Kim. (2019). Diabetes and Cancer: Cancer Should Be Screened in Routine Diabetes Assessment. Diabetes & Metabolism Journal. 43(6). 733–733. 116 indexed citations
14.
Ahn, Seong Hee, Jae Hyeon Kim, Seung Hee Baek, et al.. (2018). Characteristics of Adrenal Incidentalomas in a Large, Prospective Computed Tomography-Based Multicenter Study: The COAR Study in Korea. Yonsei Medical Journal. 59(4). 501–501. 27 indexed citations
15.
Suh, Sunghwan, Yun Hak Kim, Tae Sik Goh, et al.. (2018). mRNA Expression of SLC5A5 and SLC2A Family Genes in Papillary Thyroid Cancer: An Analysis of The Cancer Genome Atlas. Yonsei Medical Journal. 59(6). 746–746. 7 indexed citations
16.
Suh, Sunghwan, Ji Cheol Bae, Sang‐Man Jin, et al.. (2017). Serum calcium changes and risk of type 2 diabetes mellitus in Asian population. Diabetes Research and Clinical Practice. 133. 109–114. 14 indexed citations
17.
Suh, Sunghwan & Mi Kyoung Park. (2017). Glucocorticoid-Induced Diabetes Mellitus: An Important but Overlooked Problem. Endocrinology and Metabolism. 32(2). 180–180. 148 indexed citations
18.
Suh, Sunghwan, Yun Hak Kim, Tae Sik Goh, et al.. (2017). Outcome prediction with the revised American joint committee on cancer staging system and American thyroid association guidelines for thyroid cancer. Endocrine. 58(3). 495–502. 32 indexed citations
19.
Lee, Seung Hun, Kee‐Ho Song, Jinju Kim, et al.. (2016). New diagnostic criteria for subclinical hypercortisolism using postsurgical hypocortisolism: the Co-work of Adrenal Research study. Clinical Endocrinology. 86(1). 10–18. 23 indexed citations
20.
Park, Soo-Kyung, Sunghwan Suh, Daecheol Kim, et al.. (2005). A Case of Granulocytic Sarcoma Relapsed in Both Breasts After Complete Remission of Acute Myelogeous Leukemia. The Korean Journal of Laboratory Medicine. 25(4). 223–226. 2 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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