Jeong Min Lee

37.4k citations
895 papers · 25.2k indexed · 3 hit papers · h-index 75

Jeong Min Lee

832 papers receiving 24.7k citations

Hit Papers

Oncological Benefits of Neoadjuvant Chemoradiation With G...4672014202620182022100200300400

Peers

Jeong Min Lee
Comparison fields: 5 of 210
  • Hepatology 9.7k
  • Radiology, Nuclear Medicine and Imaging 7.9k
  • Epidemiology 7.8k
  • Oncology 5.1k
  • Surgery 6.8k
Replace Steven A. Curley with:
Steven A. Curley United States
Myeong‐Jin Kim South Korea
Masatoshi Kudo Japan
Peter R. Galle Germany
Seong Ho Park South Korea
Michael B. Wallace United States
Hiroshi Honda Japan
Stuart G. Silverman United States
Theodore S. Lawrence United States
Bernd Hamm Germany
Jeong Min Lee relative to Steven A. Curley United States Steven A. Curley's profile →
Citations per field
00.5×4.7×
Steven A. Curley · 1×
Citations per year

Countries citing papers authored by Jeong Min Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Min Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong Min 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 Jeong Min Lee. The network helps show where Jeong Min Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jeong Min Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeong Min Lee Line = papers co-authored together Jeong Min Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20248
4 20241
5 20235
6 20231
7 20234
8 202312
9 202314
10 20221
11 202140
12 20212
13 202116
14 202044
15 20195
16 20193
17 201959
18 201360
19 200758
20 20043

About Jeong Min Lee

Jeong Min Lee is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 895 papers that have together received 25.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (274 papers), Liver Disease Diagnosis and Treatment (203 papers), MRI in cancer diagnosis (136 papers), Liver Disease and Transplantation (100 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (95 papers), Radiomics and Machine Learning in Medical Imaging (75 papers), Gallbladder and Bile Duct Disorders (72 papers) and Pancreatic and Hepatic Oncology Research (71 papers). The work is most often cited by research in Hepatology (9.7k citations), Radiology, Nuclear Medicine and Imaging (7.9k citations) and Epidemiology (7.8k citations). Jeong Min Lee has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Joon Koo Han, Byung Ihn Choi, Jeong Hee Yoon, Ijin Joo, Jae Young Lee, Dong Ho Lee, Jin‐Young Choi, Se Hyung Kim, Claude B. Sirlin and Kyoung Bun Lee. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

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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