Hyun Wook Han

659 total citations
45 papers, 395 citations indexed

About

Hyun Wook Han is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Hyun Wook Han has authored 45 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Hyun Wook Han's work include Bioinformatics and Genomic Networks (5 papers), COVID-19 Clinical Research Studies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Hyun Wook Han is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), COVID-19 Clinical Research Studies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Hyun Wook Han collaborates with scholars based in South Korea, United States and China. Hyun Wook Han's co-authors include Jisook Moon, Jung Hun Ohn, Sung Ryul Shim, Ju Han Kim, Eugene Jeong, Jongman Yoo, Sang Min Nam, Myunghee Hong, Kyoung Yul Seo and Seogsong Jeong and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hyun Wook Han

44 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyun Wook Han South Korea 13 126 54 54 53 37 45 395
Qiuli Zhang China 18 234 1.9× 58 1.1× 34 0.6× 37 0.7× 28 0.8× 53 794
Erick R. Scott United States 13 186 1.5× 102 1.9× 48 0.9× 45 0.8× 25 0.7× 21 710
Anna Justyna Milewska Poland 15 150 1.2× 54 1.0× 53 1.0× 36 0.7× 35 0.9× 74 653
Ahmed Salem Egypt 13 86 0.7× 88 1.6× 29 0.5× 32 0.6× 67 1.8× 41 489
Raymond Liu United States 11 75 0.6× 82 1.5× 42 0.8× 23 0.4× 36 1.0× 24 515
Ali Shamekh Iran 12 166 1.3× 67 1.2× 132 2.4× 68 1.3× 52 1.4× 31 550
Nancy Wei United States 13 87 0.7× 38 0.7× 56 1.0× 24 0.5× 12 0.3× 20 465
Yuqin Li China 12 73 0.6× 94 1.7× 28 0.5× 30 0.6× 41 1.1× 48 406
Yishai Pickman Israel 10 153 1.2× 82 1.5× 59 1.1× 58 1.1× 18 0.5× 11 594
Katherine E. Kurgansky United States 12 103 0.8× 57 1.1× 139 2.6× 22 0.4× 38 1.0× 20 540

Countries citing papers authored by Hyun Wook Han

Since Specialization
Citations

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

Fields of papers citing papers by Hyun Wook Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Wook Han. 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 Hyun Wook Han. The network helps show where Hyun Wook Han may publish in the future.

Co-authorship network of co-authors of Hyun Wook Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Wook Han. A scholar is included among the top collaborators of Hyun Wook Han 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 Hyun Wook Han. Hyun Wook Han 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.
Lee, Yu Ho, et al.. (2025). Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach. JMIR Medical Informatics. 13. e55825–e55825. 2 indexed citations
2.
Ahn, Tae‐Keun, et al.. (2024). Machine Learning Models for Low Back Pain Detection and Factor Identification: Insights From a 6-Year Nationwide Survey. Journal of Pain. 25(8). 104497–104497. 1 indexed citations
3.
Cao, Jie, et al.. (2024). Development of a deep learning model for predicting recurrence of hepatocellular carcinoma after liver transplantation. Frontiers in Medicine. 11. 1373005–1373005. 1 indexed citations
4.
Lee, Sang‐Eun, Sung Ryul Shim, Jung‐Hae Youn, & Hyun Wook Han. (2023). COVID-19 Vaccination Is Not Associated with Psychiatric Adverse Events: A Meta-Analysis. Vaccines. 11(1). 194–194. 3 indexed citations
5.
Han, Hyun Wook, et al.. (2023). Effects of Walking Promotion Using Smart Mobile Activity Meter on Changes in Metabolic Health. SHILAP Revista de lepidopterología. 7(1). 153–165. 1 indexed citations
6.
Kim, Sungmin, et al.. (2023). Relationship between drug targets and drug-signature networks: a network-based genome-wide landscape. BMC Medical Genomics. 16(1). 17–17. 3 indexed citations
7.
Yoon, Sung Soo, et al.. (2023). Association of weight changes with SARS-CoV-2 infection and severe COVID-19 outcomes: A nationwide retrospective cohort study. Journal of Infection and Public Health. 16(12). 1918–1924. 4 indexed citations
8.
Jeong, Seogsong, et al.. (2023). Non-Alcoholic Fatty Liver Disease, Atherosclerosis, and Cardiovascular Disease in Asia. Reviews in Cardiovascular Medicine. 24(6). 173–173. 1 indexed citations
9.
Yoon, Sung Soo, Hye Jun Kim, Sang Jun Lee, et al.. (2023). Inverse association between changes in systolic and diastolic blood pressure and risk of depression: A nationally representative cohort study. Journal of Affective Disorders. 335. 49–56. 4 indexed citations
10.
Shim, Sung Ryul, et al.. (2022). Effects of meteorological factors and air pollutants on the incidence of COVID-19 in South Korea. Environmental Research. 212(Pt C). 113392–113392. 4 indexed citations
11.
12.
Lee, Sangjun, Sung Soo Yoon, Myeong-Hoon Lee, et al.. (2022). Health-Screening-Based Chronic Obstructive Pulmonary Disease and Its Effect on Cardiovascular Disease Risk. Journal of Clinical Medicine. 11(11). 3181–3181. 4 indexed citations
13.
Kim, Hye Jun, Sung Soo Yoon, Sang Jun Lee, et al.. (2022). Development and validation of a nonalcoholic fatty liver disease-based self-diagnosis tool for diabetes. Annals of Translational Medicine. 10(21). 1158–1158. 2 indexed citations
14.
Jung, Cheol Woong, et al.. (2022). Personalized Prediction of Kidney Function Decline and Network Analysis of the Risk Factors after Kidney Transplantation Using Nationwide Cohort Data. Journal of Clinical Medicine. 11(5). 1259–1259. 4 indexed citations
15.
Lee, Jinju, Jiyun Park, Kyung‐Soo Kim, et al.. (2022). FGM-based remote intervention for adults with type 1 diabetes: The FRIEND randomized clinical trial. Frontiers in Endocrinology. 13. 1054697–1054697. 5 indexed citations
16.
Yu, Youngjae, et al.. (2022). Maternal disease factors associated with neonatal jaundice: a case–control study. BMC Pregnancy and Childbirth. 22(1). 247–247. 5 indexed citations
17.
Nam, Sang Min, Song Vogue Ahn, Jung Ho Bae, et al.. (2020). Epidemiological Characterization of a Directed and Weighted Disease Network Using Data From a Cohort of One Million Patients: Network Analysis. Journal of Medical Internet Research. 22(4). e15196–e15196. 4 indexed citations
18.
Nam, Sang Min, et al.. (2020). Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey. JMIR Medical Informatics. 8(2). e16153–e16153. 12 indexed citations
19.
Kim, Myeongchan, et al.. (2019). The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study. JMIR mhealth and uhealth. 7(10). e14276–e14276. 13 indexed citations
20.
Han, Hyun Wook, et al.. (2011). Microstructures and Electrochemical Properties of Rapidly-solidified Si-Mn-Cr alloys. TechConnect Briefs. 1(2011). 714–717. 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.

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