Sae Hwan Lee
- Hepatology top 0.5%
- Epidemiology top 5%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Jae Young JangHong Soo KimYoung Seok KimSang Gyune KimSoung Won JeongBoo Sung KimYoung Deok ChoJun Yong Park
- Topics
- Liver Disease Diagnosis and Treatment (42 papers)Hepatitis C virus research (28 papers)Hepatitis B Virus Studies (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEHepatology
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sae Hwan Lee
92 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Hepatology 1.2k
- Epidemiology 962
- Surgery 602
- Pulmonary and Respiratory Medicine 282
- Molecular Biology 246
Countries citing papers authored by Sae Hwan Lee
This map shows the geographic impact of Sae Hwan 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 Sae Hwan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae Hwan Lee more than expected).
Fields of papers citing papers by Sae Hwan Lee
This network shows the impact of papers produced by Sae Hwan 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 Sae Hwan Lee. The network helps show where Sae Hwan Lee may publish in the future.
Co-authorship network of co-authors of Sae Hwan Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sae Hwan Lee. A scholar is included among the top collaborators of Sae Hwan 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 Sae Hwan Lee. Sae Hwan 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 10 | |
| 10 | Clinical Validation of a Revised Sub-staging in Korean Patient with Intermediate Hepatocellular Carcinoma (BCLC-B) | 1 |
| 11 | Clinical Characteristics and Pathological Findings in Patients with Toxic Hepatitis | 4 |
| 12 | 국내 태권도학 분야의 연구동향과 학문적 과제 | 1 |
| 13 | 상해 엑스포 국가전시관 특성 비교 연구 | 1 |
| 14 | 안면 색윤(色潤) 분석을 통한 신장 기능 측정 방법 제안 | 0 |
| 15 | ABS/MWCNT 복합재료의 분산 영향에 따른 마모 특성 분석 | 0 |
| 16 | 박리현상에서 표면거칠기가 미치는 영향에 대한 수치해석 | 0 |
| 17 | 한방 찰색 구현을 위한 디지털 색체계의 피부색 분석에의 적용 | 0 |
| 18 | 지문 패턴 추출을 통한 체질 기반의 건강 지수 제공 시스템 개발 | 0 |
| 19 | J2EE Enterprise System의 웹 애플리케이션 프레임워크 설계 | 0 |
| 20 | 소아 망진을 위한 얼굴 영역 분할과 오관 및 명당 추출 방법 | 1 |
About Sae Hwan Lee
Sae Hwan Lee is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (42 papers), Hepatitis C virus research (28 papers) and Hepatitis B Virus Studies (26 papers). The work is most often cited by research in Hepatology (1.2k citations), Epidemiology (962 citations) and Gastroenterology (142 citations). Sae Hwan Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jae Young Jang, Hong Soo Kim, Young Seok Kim, Sang Gyune Kim, Soung Won Jeong, Boo Sung Kim, Young Deok Cho, Jun Yong Park, Chang Kyun Lee and Tae Hoon Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and 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.