Jong Jin Lee

1.8k citations
73 papers · 1.4k · h-index 21

Impact in

Papers in

Jong Jin Lee

71 papers receiving 1.4k citations

Peers

Jong Jin Lee
Comparison fields: 5 of 61
  • Gastroenterology 172
  • Radiology, Nuclear Medicine and Imaging 378
  • Obstetrics and Gynecology 85
  • Health Informatics 18
  • Endocrinology, Diabetes and Metabolism 122
Replace Gabriel Liberale with:
Gabriel Liberale Belgium
Todd M. Stevens United States
Seung Hyun Cho South Korea
Shozo Hirota Japan
R. P. Baum Germany
Yoshihiko Fukukura Japan
A. Heintz Germany
G Fine United States
Karin Nüssle Germany
Vahid Reza Dabbagh Kakhki Iran
Jong Jin Lee relative to Gabriel Liberale Belgium Gabriel Liberale's profile →
Citations per field
00.5×2×4×6×7.6×
Gabriel Liberale · 1×
Citations per year

Countries citing papers authored by Jong Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jong Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jong Jin 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 Jong Jin Lee Line = papers co-authored together Jong Jin Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013158
2 2018155
3 2013118
4 201441
5 201840
6 202140
7 201237
8 201336
9 201536
10 201534
11 201632
12 200731
13 201530
14 201229
15 201128
16 201828
17 202026
18 201625
19 201824
20 201423

About Jong Jin Lee

Jong Jin Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Surgery and Reproductive Medicine, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Endometrial and Cervical Cancer Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Ovarian cancer diagnosis and treatment (5 papers), AI in cancer detection (4 papers) and Knee injuries and reconstruction techniques (4 papers). The work is most often cited by research in Gastroenterology (172 citations), Radiology, Nuclear Medicine and Imaging (378 citations), Obstetrics and Gynecology (85 citations), Health Informatics (18 citations) and Endocrinology, Diabetes and Metabolism (122 citations). Jong Jin Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Sangwon Han, Chong Hyun Suh, Sungmin Woo, Yeon Joo Kim, Jin‐Sook Ryu, Jungsu S. Oh, Jyothi Priya Jagannathan, Nikhil H. Ramaiya, Yoon‐Koo Kang and Changhoon Yoo. Their work appears in journals such as Annals of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Gynecologic Oncology, The American Journal of Sports Medicine and Thyroid.

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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