Sung Sug Yoon

3.0k total citations · 1 hit paper
22 papers, 2.2k citations indexed

About

Sung Sug Yoon is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Sung Sug Yoon has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Epidemiology. Recurrent topics in Sung Sug Yoon's work include Blood Pressure and Hypertension Studies (7 papers), Acute Ischemic Stroke Management (6 papers) and Nutritional Studies and Diet (4 papers). Sung Sug Yoon is often cited by papers focused on Blood Pressure and Hypertension Studies (7 papers), Acute Ischemic Stroke Management (6 papers) and Nutritional Studies and Diet (4 papers). Sung Sug Yoon collaborates with scholars based in United States, South Korea and Australia. Sung Sug Yoon's co-authors include Tatiana Nwankwo, Vicki L. Burt, Jacqueline D. Wright, Yechiam Ostchega, Jong S. Kim, Jeffery P. Hughes, John Wiggers, Richard F Heller, Christopher Levi and Patrick Fitzgerald and has published in prestigious journals such as Circulation, Stroke and Hypertension.

In The Last Decade

Sung Sug Yoon

22 papers receiving 2.1k citations

Hit Papers

Hypertension among adults... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Sug Yoon United States 16 883 575 439 257 252 22 2.2k
Carma Ayala United States 29 1.1k 1.2× 548 1.0× 640 1.5× 372 1.4× 321 1.3× 77 2.9k
Suzanne Satterfield United States 27 752 0.9× 595 1.0× 389 0.9× 433 1.7× 141 0.6× 37 4.1k
Young Hoon Lee South Korea 26 508 0.6× 339 0.6× 272 0.6× 136 0.5× 287 1.1× 174 2.4k
Anna-Maija Rajakangas Denmark 9 1.5k 1.7× 728 1.3× 440 1.0× 256 1.0× 120 0.5× 9 3.0k
Hui Ting Chan Taiwan 8 610 0.7× 341 0.6× 648 1.5× 270 1.1× 83 0.3× 10 2.8k
Maria‐Chiara Corti Italy 17 601 0.7× 284 0.5× 172 0.4× 160 0.6× 107 0.4× 21 2.2k
Michèle Montaye France 29 905 1.0× 362 0.6× 554 1.3× 295 1.1× 215 0.9× 73 2.5k
Walerian Piotrowski Poland 22 947 1.1× 354 0.6× 353 0.8× 107 0.4× 59 0.2× 101 1.9k
Sylvia Wassertheil‐Smoller United States 19 1.1k 1.3× 1.0k 1.8× 213 0.5× 188 0.7× 74 0.3× 24 2.5k

Countries citing papers authored by Sung Sug Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sung Sug Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Sug Yoon. 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 Sug Yoon. The network helps show where Sung Sug Yoon may publish in the future.

Co-authorship network of co-authors of Sung Sug Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Sug Yoon. A scholar is included among the top collaborators of Sung Sug Yoon 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 Sug Yoon. Sung Sug Yoon 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.
Correa‐de‐Araujo, Rosaly & Sung Sug Yoon. (2020). Clinical Outcomes in High-Risk Pregnancies Due to Advanced Maternal Age. Journal of Women s Health. 30(2). 160–167. 90 indexed citations
2.
Yoon, Sung Sug, Charles Dillon, Kachi Illoh, & Margaret D. Carroll. (2016). Trends in the Prevalence of Coronary Heart Disease in the U.S.. American Journal of Preventive Medicine. 51(4). 437–445. 38 indexed citations
3.
Aoki, Yutaka, et al.. (2014). Hypertension, abnormal cholesterol, and high body mass index among non-Hispanic Asian adults: United States, 2011-2012.. PubMed. 1–8. 26 indexed citations
4.
Yoon, Sung Sug, Qiuping Gu, Tatiana Nwankwo, et al.. (2014). Trends in Blood Pressure Among Adults With Hypertension. Hypertension. 65(1). 54–61. 199 indexed citations
5.
Yoon, Sung Sug, Qiuping Gu, Tatiana Nwankwo, et al.. (2014). Abstract 12030: Trends in Blood Pressure Among Adults With Hypertension: United States, 2003-2012. Circulation. 130(suppl_2). 1 indexed citations
7.
Crim, Matthew T, Sung Sug Yoon, Eduardo Ortíz, et al.. (2012). National Surveillance Definitions for Hypertension Prevalence and Control Among Adults. Circulation Cardiovascular Quality and Outcomes. 5(3). 343–351. 86 indexed citations
9.
Wright, Jacqueline D., Jeffery P. Hughes, Yechiam Ostchega, Sung Sug Yoon, & Tatiana Nwankwo. (2011). Mean systolic and diastolic blood pressure in adults aged 18 and over in the United States, 2001-2008.. PubMed. 1–22, 24. 115 indexed citations
10.
Yoon, Sung Sug, Charles Dillon, Margaret D. Carroll, Kachi Illoh, & Yechiam Ostchega. (2010). Effects of Statins on Serum Inflammatory Markers: The U.S. National Health and Nutrition Examination Survey 1999-2004. Journal of Atherosclerosis and Thrombosis. 17(11). 1176–1182. 32 indexed citations
11.
Ostchega, Yechiam, et al.. (2008). Hypertension awareness, treatment, and control: Continued disparities in adults: United States, 2005-2006. PsycEXTRA Dataset. 1–8. 206 indexed citations
12.
Yoon, Sung Sug, Mary G. George, Sharon L. Myers, et al.. (2006). Analysis of Data-Collection Methods for an Acute Stroke Care Registry. American Journal of Preventive Medicine. 31(6). S196–S201. 15 indexed citations
13.
Yoon, Sung Sug & Zhi‐Jie Zheng. (2005). Elevated total white blood cell count with high blood glucose is associated with poor outcome after ischemic stroke. Journal of Stroke and Cerebrovascular Diseases. 14(2). 88–93. 12 indexed citations
14.
Yoon, Sung Sug, Julio A. Chalela, Mustapha A. Ezzeddine, et al.. (2004). Rising statin use and effect on ischemic stroke outcome. BMC Medicine. 2(1). 4–4. 55 indexed citations
15.
Yoon, Sung Sug, Richard F Heller, Christopher Levi, & John Wiggers. (2001). Knowledge and perception about stroke among an Australian urban population. BMC Public Health. 1(1). 14–14. 42 indexed citations
16.
Yoon, Sung Sug, Richard F Heller, Christopher Levi, John Wiggers, & Patrick Fitzgerald. (2001). Knowledge of Stroke Risk Factors, Warning Symptoms, and Treatment Among an Australian Urban Population. Stroke. 32(8). 1926–1930. 282 indexed citations
17.
Kim, Jong S., et al.. (1998). Type A Behavior and Stroke: High Tenseness Dimension May Be a Risk Factor for Cerebral Infarction. European Neurology. 39(3). 168–173. 9 indexed citations
18.
Kim, Yong‐Jae & Sung Sug Yoon. (1998). Stroke subtypes and risk factors in patients living in Southern Seoul, Korea: The impact of hypertension control on stroke subtypes. Journal of Stroke and Cerebrovascular Diseases. 7(3). 205–210. 4 indexed citations
19.
Kim, Jong S. & Sung Sug Yoon. (1997). Perspectives of Stroke in Persons Living in Seoul, South Korea. Stroke. 28(6). 1165–1169. 70 indexed citations
20.
Kim, Jong S., et al.. (1996). Serial Measurement of Interleukin-6, Transforming Growth Factor-β, and S-100 Protein in Patients With Acute Stroke. Stroke. 27(9). 1553–1557. 176 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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