J.-S. Lee

469 citations
17 papers · 319 · h-index 7

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • Peptidase Inhibition and Analysis
    • Lung Cancer Treatments and Mutations

Papers in

    • Lung Cancer Research Studies 5
    • Cancer Immunotherapy and Biomarkers 5
    • Colorectal Cancer Treatments and Studies 3
    • Pancreatic and Hepatic Oncology Research 2
    • Lung Cancer Treatments and Mutations 9

J.-S. Lee

15 papers receiving 313 citations

Peers

J.-S. Lee
Comparison fields: 5 of 33
  • Oncology 233
  • Pulmonary and Respiratory Medicine 139
  • Hepatology 16
  • Cancer Research 26
  • Epidemiology 29
Replace Xue‐Wu Wei with:
Xue‐Wu Wei China
J.C.-H. Yang Taiwan
T-E. Ciuleanu Romania
Ying Cheng China
Yunjian Huang China
Bharathi Vennapusa United States
Xun Shi China
James Xu United States
Farah Louise Lim United Kingdom
Silvana Acquafredda Italy
J.-S. Lee relative to Xue‐Wu Wei China Xue‐Wu Wei's profile →
Citations per field
00.5×12×
Xue‐Wu Wei · 1×
Citations per year

Countries citing papers authored by J.-S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by J.-S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-S. 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 J.-S. Lee. The network helps show where J.-S. Lee may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2021142
2 201949
3 201635
4 201929
5 202215
6 201815
7 201814
8 20155
9 20194
10 20193
11 20172
12 20162
13 20212
14 20241
15 20181
16 20150
17 20130

About J.-S. Lee

J.-S. Lee is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 319 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Research Studies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Mechanisms and Therapy (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Oncology (233 citations), Pulmonary and Respiratory Medicine (139 citations), Hepatology (16 citations), Cancer Research (26 citations) and Epidemiology (29 citations). J.-S. Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Makoto Nishio, K.H. Lee, Chong‐Jen Yu, Hiroshi Tanaka, Yuichiro Ohe, Kazuhiko Nakagawa, Shunichi Sugawara, Jin‐Hyoung Kang, Toyoaki Hida and Naoki Inui. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, ESMO Open and DOAJ (DOAJ: Directory of Open Access Journals).

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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