Chang Don Lee
- Epidemiology top 10%
- Hepatology top 5%
- Surgery
- Oncology
- Pathology and Forensic Medicine
- Co-authors
- Chang Wook KimSeung Kew YoonJong Young ChoiJeong Won JangSi Hyun BaeJin Mo YangYoung Sok LeeHee Sik Sun
- Topics
- Hepatitis B Virus Studies (17 papers)Liver Disease Diagnosis and Treatment (16 papers)Hepatitis C virus research (15 papers)
- Cited by
- HepatologyEpidemiologySurgery
- Partner nations
- South KoreaUnited States
In The Last Decade
Chang Don Lee
35 papers receiving 384 citations
Peers
Comparison fields: 5 of 53
- Epidemiology 304
- Hepatology 291
- Surgery 53
- Oncology 26
- Pathology and Forensic Medicine 20
Countries citing papers authored by Chang Don Lee
This map shows the geographic impact of Chang Don 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 Chang Don Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Don Lee more than expected).
Fields of papers citing papers by Chang Don Lee
This network shows the impact of papers produced by Chang Don 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 Chang Don Lee. The network helps show where Chang Don Lee may publish in the future.
Co-authorship network of co-authors of Chang Don Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Don Lee. A scholar is included among the top collaborators of Chang Don 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 Chang Don Lee. Chang Don Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | Free Paper Session : Hepatitis B ; Adding adefovir compared with switching to entecavir in patients with Lamivudine-resistant chronic hepatitis B (ACE study) - a multicenter prospective randomized study: final results (초) | 1 |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 34 | |
| 11 | 35 | |
| 12 | 2 | |
| 13 | 97 | |
| 14 | [Prediction of hepatic fibrosis using serum hyaluronic acid in patients with chronic liver disease]. | 4 |
| 15 | Urticaria Reaction by Oral Polyethylene Glycol Ingestion | 4 |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 14 | |
| 20 | 10 |
About Chang Don Lee
Chang Don Lee is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 36 papers that have together received 390 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (17 papers), Liver Disease Diagnosis and Treatment (16 papers) and Hepatitis C virus research (15 papers). The work is most often cited by research in Hepatology (291 citations), Epidemiology (304 citations) and Surgery (53 citations). Chang Don Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chang Wook Kim, Seung Kew Yoon, Jong Young Choi, Jeong Won Jang, Si Hyun Bae, Jin Mo Yang, Young Sok Lee, Hee Sik Sun, Kyu Won Chung and Se Hyun Cho. Their work appears in journals such as Gastroenterology, Cancer and Journal of Hepatology.
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.