Hyo‐Suk Lee

2.3k total citations · 1 hit paper
19 papers, 1.7k citations indexed

About

Hyo‐Suk Lee is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hyo‐Suk Lee has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 15 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Hyo‐Suk Lee's work include Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (9 papers) and Hepatitis C virus research (7 papers). Hyo‐Suk Lee is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (9 papers) and Hepatitis C virus research (7 papers). Hyo‐Suk Lee collaborates with scholars based in South Korea, Armenia and United States. Hyo‐Suk Lee's co-authors include Jung‐Hwan Yoon, Yoon Jun Kim, Won Kim, Jeong‐Hoon Lee, Donghee Kim, Sang‐Heon Cho, Hwa Jung Kim, Myung‐Whun Sung, Jong In Yang and Chang‐Hoon Lee and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Hyo‐Suk Lee

19 papers receiving 1.6k citations

Hit Papers

Hepatic steatosis index: A simple screening tool reflecti... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyo‐Suk Lee South Korea 14 1.4k 798 521 239 196 19 1.7k
Joel Z. Stengel United States 5 1.6k 1.1× 702 0.9× 688 1.3× 274 1.1× 299 1.5× 6 1.9k
Yong‐Ping Chen China 22 1.2k 0.8× 557 0.7× 378 0.7× 184 0.8× 263 1.3× 60 1.5k
Thomas G. Cotter United States 18 1.2k 0.9× 672 0.8× 349 0.7× 224 0.9× 381 1.9× 55 1.7k
Francisco Barrera Chile 20 1.3k 0.9× 697 0.9× 437 0.8× 151 0.6× 351 1.8× 58 1.7k
Stephen E. Congly Canada 18 1.5k 1.1× 749 0.9× 504 1.0× 201 0.8× 364 1.9× 60 2.0k
Eric R. Yoo United States 16 1.1k 0.8× 680 0.9× 341 0.7× 183 0.8× 257 1.3× 41 1.4k
John Lubel Australia 25 1.1k 0.8× 776 1.0× 290 0.6× 267 1.1× 315 1.6× 91 1.8k
A. M.‐L. Chim Hong Kong 21 2.5k 1.8× 1.7k 2.1× 594 1.1× 251 1.1× 266 1.4× 34 2.6k
Dante Romagnoli Italy 14 1.6k 1.1× 616 0.8× 820 1.6× 308 1.3× 257 1.3× 25 1.8k
Paolo Conca Italy 16 906 0.6× 407 0.5× 352 0.7× 158 0.7× 202 1.0× 37 1.2k

Countries citing papers authored by Hyo‐Suk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyo‐Suk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo‐Suk Lee. 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 Hyo‐Suk Lee. The network helps show where Hyo‐Suk Lee may publish in the future.

Co-authorship network of co-authors of Hyo‐Suk Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyo‐Suk Lee. A scholar is included among the top collaborators of Hyo‐Suk Lee 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 Hyo‐Suk Lee. Hyo‐Suk Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Cho, Eun Ju, Jeong‐Hoon Lee, Yuri Cho, et al.. (2015). Comparison of the Efficacy of Entecavir and Tenofovir in Nucleos(T)ide Analogue-Experienced Chronic Hepatitis B Patients. PLoS ONE. 10(6). e0130392–e0130392. 8 indexed citations
2.
Yu, Su Jong, Seyeon Bae, Jae Seung Kang, et al.. (2015). Hepatoprotective effect of vitamin C on lithocholic acid-induced cholestatic liver injury in Gulo(−/−) mice. European Journal of Pharmacology. 762. 247–255. 17 indexed citations
3.
Kim, Kyung Su, Kyubo Kim, Eui Kyu Chie, et al.. (2015). Post-treatment intracranial hemorrhage of brain metastases from hepatocellular carcinoma. Radiation Oncology Journal. 33(1). 36–36. 4 indexed citations
4.
Lee, Minjong, Won Kim, Yunhee Choi, et al.. (2014). Spontaneous Evolution in Bilirubin Levels Predicts Liver-Related Mortality in Patients with Alcoholic Hepatitis. PLoS ONE. 9(7). e100870–e100870. 13 indexed citations
5.
Lee, Yun Bin, Jeong‐Hoon Lee, Dong Hyeon Lee, et al.. (2014). Efficacy of Entecavir-Tenofovir Combination Therapy for Chronic Hepatitis B Patients with Multidrug-Resistant Strains. Antimicrobial Agents and Chemotherapy. 58(11). 6710–6716. 28 indexed citations
6.
Cho, Yuri, So Youn Park, Jeong‐Hoon Lee, et al.. (2013). High-sensitivity C-reactive Protein Level is an Independent Predictor of Poor Prognosis in Cirrhotic Patients With Spontaneous Bacterial Peritonitis. Journal of Clinical Gastroenterology. 48(5). 444–449. 17 indexed citations
7.
8.
Chung, Goh Eun, Won Kim, Jeong‐Hoon Lee, et al.. (2011). Negative hepatitis B envelope antigen predicts intrahepatic recurrence in hepatitis B virus‐related hepatocellular carcinoma after ablation therapy. Journal of Gastroenterology and Hepatology. 26(11). 1638–1645. 16 indexed citations
10.
Lee, Jin Sol, Jeonghyun Kim, Byung‐Lae Park, et al.. (2011). No associations of polymorphisms in ADPRT with hepatitis B virus clearance and hepatocellular carcinoma occurrence in a Korean population. Hepatology Research. 41(3). 250–257. 2 indexed citations
11.
Kim, Kyubo, Eui Kyu Chie, Won Kim, et al.. (2010). Absence of Symptom and Intact Liver Function Are Positive Prognosticators for Patients Undergoing Radiotherapy for Lymph Node Metastasis From Hepatocellular Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 78(3). 729–734. 17 indexed citations
12.
Lee, Jeong‐Hoon, Donghee Kim, Hwa Jung Kim, et al.. (2009). Hepatic steatosis index: A simple screening tool reflecting nonalcoholic fatty liver disease. Digestive and Liver Disease. 42(7). 503–508. 1098 indexed citations breakdown →
13.
Choi, Suyeon, Donghee Kim, Hwa Jung Kim, et al.. (2009). The Relation Between Non-Alcoholic Fatty Liver Disease and the Risk of Coronary Heart Disease in Koreans. The American Journal of Gastroenterology. 104(8). 1953–1960. 108 indexed citations
14.
Song, Kyoung‐Ho, Jae Hyun Jeon, Wan Beom Park, et al.. (2009). Clinical outcomes of spontaneous bacterial peritonitis due to extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiellaspecies: A retrospective matched case-control study. BMC Infectious Diseases. 9(1). 41–41. 67 indexed citations
17.
Kim, Bum‐Joon, Byung‐Cheol Song, Jung Woo Shin, et al.. (2006). Molecular Epidemiology of Hepatitis B Virus (HBV) Genotypes and Serotypes in Patients with Chronic HBV Infection in Korea. Intervirology. 50(1). 52–57. 102 indexed citations
18.
Kim, Jee Hyun, Yung‐Jue Bang, Byung‐Joo Park, et al.. (2002). Hepatitis B Virus Infection and B‐Cell Non‐Hodgkin's Lymphoma in a Hepatitis B Endemic Area: A Case‐control Study. Japanese Journal of Cancer Research. 93(5). 471–477. 92 indexed citations
19.
Lee, Hyo‐Suk, et al.. (2000). Recurrent hepatocellular carcinoma after spontaneous regression. Journal of Gastroenterology. 35(7). 552–556. 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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