Yeon‐Ah Sung

3.1k total citations
111 papers, 2.3k citations indexed

About

Yeon‐Ah Sung is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yeon‐Ah Sung has authored 111 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Reproductive Medicine, 42 papers in Endocrinology, Diabetes and Metabolism and 36 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yeon‐Ah Sung's work include Ovarian function and disorders (46 papers), Reproductive Biology and Fertility (28 papers) and Lipid metabolism and disorders (18 papers). Yeon‐Ah Sung is often cited by papers focused on Ovarian function and disorders (46 papers), Reproductive Biology and Fertility (28 papers) and Lipid metabolism and disorders (18 papers). Yeon‐Ah Sung collaborates with scholars based in South Korea, United States and Czechia. Yeon‐Ah Sung's co-authors include Hyejin Lee, Jee-Young Oh, Young Sun Hong, Jee‐Young Oh, Hye Jin Lee, Do Kyeong Song, Elizabeth Barrett‐Connor, Eun‐Hee Ha, Hyung‐Lae Kim and Hyejin Lee and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Yeon‐Ah Sung

105 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
Yeon‐Ah Sung South Korea 29 783 769 661 387 376 111 2.3k
Fahrı Bayram Türkiye 34 644 0.8× 1.4k 1.8× 528 0.8× 482 1.2× 312 0.8× 149 3.0k
Zdravko Kamenov Bulgaria 20 504 0.6× 509 0.7× 400 0.6× 298 0.8× 182 0.5× 130 1.7k
Ilias Katsikis Greece 32 2.4k 3.1× 721 0.9× 1.3k 2.0× 252 0.7× 498 1.3× 71 3.0k
F. Jockenhövel Germany 29 592 0.8× 1.2k 1.6× 222 0.3× 475 1.2× 251 0.7× 73 2.3k
Meir J. Stampfer United States 7 500 0.6× 608 0.8× 1.1k 1.7× 160 0.4× 335 0.9× 7 2.7k
Emanuela A. Greco Italy 28 456 0.6× 1.4k 1.8× 306 0.5× 760 2.0× 150 0.4× 90 3.2k
Andrzej Milewicz Poland 24 266 0.3× 599 0.8× 286 0.4× 297 0.8× 164 0.4× 121 2.0k
R Giorgino Italy 30 266 0.3× 968 1.3× 270 0.4× 324 0.8× 462 1.2× 82 3.1k
Kathleen M. Hoeger United States 28 3.5k 4.5× 815 1.1× 2.3k 3.5× 376 1.0× 376 1.0× 65 4.4k
İlhan Tarkun Türkiye 18 414 0.5× 1.0k 1.3× 157 0.2× 124 0.3× 287 0.8× 51 1.8k

Countries citing papers authored by Yeon‐Ah Sung

Since Specialization
Citations

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

Fields of papers citing papers by Yeon‐Ah Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeon‐Ah Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Yeon‐Ah Sung. A scholar is included among the top collaborators of Yeon‐Ah Sung 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 Yeon‐Ah Sung. Yeon‐Ah Sung 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.
Song, Do Kyeong, et al.. (2025). Differences in GIP Receptor Expression by Feeding Status in the Mouse Brain. International Journal of Molecular Sciences. 26(3). 1142–1142.
3.
Park, So Yun, Kyungah Jeong, Hye Won Chung, et al.. (2020). The Association of Ovarian Reserve with Exposure to Bisphenol A and Phthalate in Reproductive-aged Women. Journal of Korean Medical Science. 36(2). e1–e1. 33 indexed citations
4.
Kim, Song E., Han‐Na Kim, Yeo-Jun Yun, et al.. (2017). Meta-analysis of genome-wide SNP- and pathway-based associations for facets of neuroticism. Journal of Human Genetics. 62(10). 903–909. 30 indexed citations
5.
Kim, Han‐Na, Mi Kyeong Lee, Sarah Yang, et al.. (2015). GWA meta-analysis of personality in Korean cohorts. Journal of Human Genetics. 60(8). 455–460. 11 indexed citations
6.
Hwang, You‐Cheol, Chul Woo Ahn, Jong Suk Park, et al.. (2013). Efficacy and safety of glimepiride/metformin sustained release once daily vs. glimepiride/metformin twice daily in patients with type 2 diabetes. International Journal of Clinical Practice. 67(3). 236–243. 10 indexed citations
7.
Sung, Yeon‐Ah. (2011). HbA1c for Diagnosis of Type 2 Diabetes in Korea. The Korean Journal of Internal Medicine. 80(3). 288–290. 3 indexed citations
8.
Sung, Yeon‐Ah, Dongsun Kim, Soon Jib Yoo, et al.. (2010). The prevalence and phenotypes of polycystic ovary syndrome in Korean women. 22. 3 indexed citations
9.
Oh, Jee‐Young, Jee‐Young Oh, Yeon‐Ah Sung, et al.. (2009). Optimal Waist Circumference for Prediction of Metabolic Syndrome in Young Korean Women With Polycystic Ovary Syndrome. Obesity. 18(3). 593–597. 13 indexed citations
10.
Oh, Jee Young, et al.. (2007). The clinical characteristics of Korean women with polycystic ovary syndrome. The Korean Journal of Internal Medicine. 73(2). 169–175. 7 indexed citations
11.
Sohn, Tae Seo, et al.. (2007). 원저 : 제2형 당뇨병환자에게 알맞은 운동 거리 및 운동 시간에 대한 다기관 연구. 31(2). 157–162. 1 indexed citations
12.
Lee, Hyejin, et al.. (2006). Prevalence of Metabolic Syndrome in Young Korean Women with Polycystic Ovary Syndrome. 30(4). 285–285. 3 indexed citations
13.
Oh, Jee-Young, Young Ju Choi, Hyo Jung Kim, et al.. (2005). Therapeutic Effects of Metformin and Rosiglitazone in Korean Women with Polycystic Ovary Syndrome. Journal of Korean Endocrine Society. 20(5). 467–467. 1 indexed citations
14.
Oh, Jee Young, Hye Jin Lee, Young Sun Hong, Hye Won Chung, & Yeon‐Ah Sung. (2004). Association of High Intracellular Calcium Levels with Insulin Resistance in Women with Polycystic Ovary Syndrome. 28(2). 101–110. 1 indexed citations
15.
Choi, Young Ju, Jee Young Oh, Young Sun Hong, & Yeon‐Ah Sung. (2004). Sex Hormone-Binding Globulin and Oxidative Stress in Korean Premenopausal Women.. Journal of Korean Endocrine Society. 19(1). 48–57. 1 indexed citations
16.
Oh, Jee Young, et al.. (2003). The Prevalence and Incidence of Diabetes in Mokdong, Seoul.. Korean Diabetes Journal. 27(1). 73–83. 14 indexed citations
17.
Lee, Young Sook, Hye Jin Lee, Jee Young Oh, Young Sun Hong, & Yeon‐Ah Sung. (2003). Sex Hormone Binding Globulin, Body Fat Distribution and Insulin Resistance in Premenopausal Women.. Korean Diabetes Journal. 27(1). 63–72. 2 indexed citations
18.
Park, Hyesook, et al.. (2003). The association between depressive symptoms and glycemic control in the patients with diabetes mellitus. The Korean Journal of Internal Medicine. 64(2). 204–210. 4 indexed citations
19.
Hong, Young Sun, et al.. (2001). A Case of Pheochromocytoma associated with Ectopic ACTH Syndrome.. Journal of Korean Endocrine Society. 12(1). 99–104. 4 indexed citations
20.
Sung, Yeon‐Ah, et al.. (1997). Mechanism of Angiotensin 2-Stimulated Aldosterone Secretion in Adrenal Glomerulosa Cells of Diabetic Rats ; Normal Phospholipase Activity and Intracellular Calcium Mobilization. Journal of Korean Endocrine Society. 12(2). 230–244. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026