Kwang‐Hyub Han
- Hepatology top 0.01%
- Epidemiology top 0.02%
- Surgery top 0.5%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Sang Hoon AhnJun Yong ParkDo Young KimSeung Up KimChae Yoon ChonBeom Kyung KimYoung Nyun ParkJa Kyung Kim
- Topics
- Liver Disease Diagnosis and Treatment (341 papers)Hepatitis B Virus Studies (274 papers)Hepatitis C virus research (235 papers)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Kwang‐Hyub Han
619 papers receiving 23.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Hepatology 19.0k
- Epidemiology 16.1k
- Surgery 3.5k
- Oncology 2.5k
- Pulmonary and Respiratory Medicine 1.9k
Countries citing papers authored by Kwang‐Hyub Han
This map shows the geographic impact of Kwang‐Hyub 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 Kwang‐Hyub Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang‐Hyub Han more than expected).
Fields of papers citing papers by Kwang‐Hyub Han
This network shows the impact of papers produced by Kwang‐Hyub 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 Kwang‐Hyub Han. The network helps show where Kwang‐Hyub Han may publish in the future.
Co-authorship network of co-authors of Kwang‐Hyub Han
This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Hyub Han. A scholar is included among the top collaborators of Kwang‐Hyub 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 Kwang‐Hyub Han. Kwang‐Hyub Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 124 | |
| 9 | 14 | |
| 10 | 18 | |
| 11 | 32 | |
| 12 | 35 | |
| 13 | 8 | |
| 14 | 18 | |
| 15 | 34 | |
| 16 | FINAL RESULTS OF ENABLE 1, A PHASE 3, MULTICENTER STUDY OF ELTROMBOPAG AS AN ADJUNCT FOR ANTIVIRAL TREATMENT OF HEPATITIS C VIRUS-RELATED CHRONIC LIVER DISEASE ASSOCIATED WITH THROMBOCYTOPENIA | 12 |
| 17 | Factors Influencing Health Behavior of Patients with Chronic Hepatitis B | 9 |
| 18 | 114 | |
| 19 | Clinical outcome of HBsAg(+) renal allograft recipients. | 4 |
| 20 | Determination of the composition of a tetrasaccharide isolated from glycosylated barley β-amylase isozyme using nuclear magnetic resonance | 1 |
About Kwang‐Hyub Han
Kwang‐Hyub Han is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 623 papers that have together received 24.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (341 papers), Hepatitis B Virus Studies (274 papers) and Hepatitis C virus research (235 papers). The work is most often cited by research in Hepatology (19.0k citations), Epidemiology (16.1k citations) and Cancer Research (1.9k citations). Kwang‐Hyub Han has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Sang Hoon Ahn, Jun Yong Park, Do Young Kim, Seung Up Kim, Chae Yoon Chon, Beom Kyung Kim, Young Nyun Park, Ja Kyung Kim, Jinsil Seong and Do Young Kim. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Oncology.
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.