Jae Woong Sull

2.8k total citations · 1 hit paper
60 papers, 2.1k citations indexed

About

Jae Woong Sull is a scholar working on Epidemiology, Physiology and Genetics. According to data from OpenAlex, Jae Woong Sull has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 17 papers in Physiology and 13 papers in Genetics. Recurrent topics in Jae Woong Sull's work include Alcohol Consumption and Health Effects (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Liver Disease Diagnosis and Treatment (7 papers). Jae Woong Sull is often cited by papers focused on Alcohol Consumption and Health Effects (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Liver Disease Diagnosis and Treatment (7 papers). Jae Woong Sull collaborates with scholars based in South Korea, United States and Taiwan. Jae Woong Sull's co-authors include Sun Ha Jee, Heechoul Ohrr, Eliseo Güallar, Jonathan M. Samet, Jungyong Park, Sang‐Yi Lee, Chung Mo Nam, Sang‐Wook Yi, Ji Eun Yun and Eun Jung Park and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jae Woong Sull

57 papers receiving 2.0k citations

Hit Papers

Body-Mass Index and Morta... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Woong Sull South Korea 22 545 448 367 309 281 60 2.1k
Ji Eun Yun South Korea 23 584 1.1× 323 0.7× 231 0.6× 353 1.1× 272 1.0× 64 1.8k
Aaron R. Folsom United States 16 423 0.8× 309 0.7× 381 1.0× 182 0.6× 248 0.9× 18 1.7k
Jung Sub Lim South Korea 25 646 1.2× 431 1.0× 323 0.9× 349 1.1× 279 1.0× 94 2.2k
Fiona Bragg United Kingdom 22 459 0.8× 266 0.6× 297 0.8× 299 1.0× 205 0.7× 60 1.8k
Cara L. Carty United States 27 248 0.5× 311 0.7× 327 0.9× 472 1.5× 388 1.4× 49 1.9k
Heejin Kimm South Korea 22 430 0.8× 403 0.9× 319 0.9× 360 1.2× 77 0.3× 86 1.9k
Lisa M. Pastore United States 28 322 0.6× 202 0.5× 640 1.7× 271 0.9× 214 0.8× 79 2.6k
Jeppe Zacho Denmark 24 547 1.0× 269 0.6× 266 0.7× 576 1.9× 139 0.5× 35 2.4k
DeAnn Lazovich United States 31 334 0.6× 519 1.2× 684 1.9× 258 0.8× 1.2k 4.2× 88 3.4k
Nihal Thomas India 28 391 0.7× 425 0.9× 388 1.1× 443 1.4× 257 0.9× 241 3.0k

Countries citing papers authored by Jae Woong Sull

Since Specialization
Citations

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

Fields of papers citing papers by Jae Woong Sull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Woong Sull. 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 Jae Woong Sull. The network helps show where Jae Woong Sull may publish in the future.

Co-authorship network of co-authors of Jae Woong Sull

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Woong Sull. A scholar is included among the top collaborators of Jae Woong Sull 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 Jae Woong Sull. Jae Woong Sull 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.
Jee, Sun Ha, et al.. (2018). Relationship between binge drinking experience and suicide attempts in Korean adolescents: based on the 2013 Korean Youth Risk Behavior Web-based Survey. Epidemiology and Health. 40. e2018046–e2018046. 15 indexed citations
3.
Sull, Jae Woong, Eugene Choi, Ji-Sook Lee, et al.. (2018). Thymus and activation-regulated chemokine (TARC)/CCL17 and IgE are associated with elderly asthmatics. Immunity & Ageing. 15(1). 13–13. 12 indexed citations
4.
Jeon, Christina, et al.. (2018). Association between smoking and gout: a meta-analysis. Clinical Rheumatology. 37(7). 1895–1902. 10 indexed citations
5.
Sull, Jae Woong, et al.. (2017). Association of Uric Acid Levels with Arterial Stiffness in Korean Women and Non-smoking Men. Journal of Experimental & Biomedical Sciences/Biomedical Science Letters. 23(3). 201–207. 1 indexed citations
6.
Kim, Tae Kyoung, Jin Hyun Jun, Eun‐Kyung Kim, et al.. (2016). Melatonin modulates adiponectin expression on murine colitis with sleep deprivation. World Journal of Gastroenterology. 22(33). 7559–7559. 12 indexed citations
7.
Hong, Seri, Sang‐Wook Yi, Jae Woong Sull, et al.. (2015). Body Mass Index and Mortality among Korean Elderly in Rural Communities: Kangwha Cohort Study. PLoS ONE. 10(2). e0117731–e0117731. 18 indexed citations
8.
Sull, Jae Woong, et al.. (2013). Association between SMAD2 Gene and Serum Liver Enzyme Levels in the Korean Population. 대한의생명과학회지. 19(2). 124–131.
9.
Heon, Byung, Gombojav Bayasgalan, Jae Woong Sull, & Heechoul Ohrr. (2012). Smoking After Age 65 Years and Mortality: The Kangwha Cohort Study. SHILAP Revista de lepidopterología. 6(2). 127–130. 1 indexed citations
10.
Kimm, Heejin, Jae Woong Sull, Gombojav Bayasgalan, Sang‐Wook Yi, & Heechoul Ohrr. (2012). Life satisfaction and mortality in elderly people: The Kangwha Cohort Study. BMC Public Health. 12(1). 54–54. 58 indexed citations
11.
Sull, Jae Woong, Sang‐Wook Yi, Chung Mo Nam, Kwi-Sook Choi, & Heechoul Ohrr. (2010). Binge Drinking and Hypertension on Cardiovascular Disease Mortality in Korean Men and Women. Stroke. 41(10). 2157–2162. 34 indexed citations
12.
Yi, Sang‐Wook, Jae Woong Sull, Jae Seok Hong, John A. Linton, & Heechoul Ohrr. (2009). Association Between Ginseng Intake and Mortality: Kangwha Cohort Study. The Journal of Alternative and Complementary Medicine. 15(8). 921–928. 14 indexed citations
13.
Sull, Jae Woong, Hee Jin Kim, Ji Eun Yun, et al.. (2009). Serum adiponectin is associated with smoking status in healthy Korean men.. 56(1). 73–78. 1 indexed citations
14.
Sull, Jae Woong, Ji Eun Yun, Heechoul Ohrr, et al.. (2009). Body Mass Index and Serum Aminotransferase Levels in Korean Men and Women. Journal of Clinical Gastroenterology. 43(9). 869–875. 15 indexed citations
15.
Yun, Ji Eun, Jae Woong Sull, Eun‐Jung Park, et al.. (2009). Serum adiponectin as a useful marker for metabolic syndrome in type 2 diabetic patients. Diabetes/Metabolism Research and Reviews. 25(3). 259–265. 23 indexed citations
16.
Sull, Jae Woong, Sang‐Wook Yi, Chung Mo Nam, & Heechoul Ohrr. (2009). Binge Drinking and Mortality From All Causes and Cerebrovascular Diseases in Korean Men and Women. Stroke. 40(9). 2953–2958. 32 indexed citations
17.
Lee, Yong‐Jae, et al.. (2007). White Blood Cell Count and the Risk of Hyperglycemia according to Smoking Status. Korean Journal of Family Medicine. 28(1). 32–38. 2 indexed citations
18.
Jee, Sun Ha, et al.. (2005). Smoking and cause of death in Korea: 11 years follow-up prospective study. 27(1). 182–190. 22 indexed citations
19.
Yi, Sang‐Wook, et al.. (2004). Association between Alcohol Drinking and Cardiovascular Disease Mortality and All-cause Mortality: Kangwha Cohort Study.. PubMed. 37(2). 120–6. 4 indexed citations
20.
Um, Soo‐Jong, et al.. (2004). Gene-gene and gene-environmental interactions of p53, p21, and IRF-1 polymorphisms in Korean women with cervix cancer. International Journal of Gynecological Cancer. 14(1). 118–125. 21 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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