Soo Jin Lee

2.2k citations
86 papers · 1.3k indexed · h-index 20
Topics
Radiomics and Machine Learning in Medical Imaging (10 papers)Medical Imaging Techniques and Applications (7 papers)Corneal Surgery and Treatments (6 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports

In The Last Decade

Soo Jin Lee

83 papers receiving 1.3k citations

Peers

Soo Jin Lee
Comparison fields: 5 of 128
  • Radiology, Nuclear Medicine and Imaging 334
  • Surgery 245
  • Pulmonary and Respiratory Medicine 197
  • Oncology 163
  • Epidemiology 154
Replace Erol Akgül with:
Erol Akgül Türkiye
L Martínez Spain
Ljudmila Stojanovich Serbia
Jean Louis Golmard France
Peter Brauchli Switzerland
Hiroyasu Ishikawa Japan
Nan Hong China
Zhihui Li China
Andrea Maschio Italy
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Citations per field
00.5×4.0×
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Citations per year

Countries citing papers authored by Soo Jin Lee

Since Specialization
Citations

This map shows the geographic impact of Soo 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 Soo 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 Soo Jin Lee more than expected).

Fields of papers citing papers by Soo Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soo Jin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Jin Lee. A scholar is included among the top collaborators of Soo Jin 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 Soo Jin Lee. Soo Jin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 8
3 1
4 5
5 6
6 9
7 17
8 9
9 11
10 30
11 102
12
Development and Validation of the Diabetes Self-Management Knowledge Scale for Older Adults(DSMK-O)
6
13 32
14 12
15 12
16 23
17
Ergonomic risk factors related to musculoskeletal symptoms in the vineyard workers
6
18
Immunomodulating Activity of BL18 (Ganshu) Acupuncture on the Experimental Liver Metastasis Model of Mice
1
19 7
20
Rocket Measurement of Middle Atmospheric Ozone Concentration Profile By KSR-II
2

About Soo Jin Lee

Soo Jin Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Gastroenterology and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (7 papers) and Corneal Surgery and Treatments (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (334 citations), Hepatology (106 citations) and Obstetrics and Gynecology (90 citations). Soo Jin Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sylvia Christakos, Sam Clark, Rupinder Kaur Gill, Kyoung Woo Kim, Jin Chul Paeng, Gi Jeong Cheon, Jae‐Chan Kim, Jeong Min Lee, Eun Sun Lee and Ijin Joo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

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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