Dae-Won Lee

422 citations
9 papers · 260 · h-index 7

Impact in

    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies

Papers in

    • Colorectal Cancer Treatments and Studies 3
    • Colorectal Cancer Surgical Treatments 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Treatment and Pharmacology 1
    • Genetic factors in colorectal cancer 2

Dae-Won Lee

9 papers receiving 258 citations

Peers

Dae-Won Lee
Comparison fields: 5 of 57
  • Hepatology 48
  • Oncology 131
  • Pathology and Forensic Medicine 76
  • Cancer Research 45
  • Dermatology 18
Replace E. Falcó with:
E. Falcó Spain
Colan Ho-Yen United Kingdom
Yujiro Fujie Japan
Tae‐Seok Kim South Korea
Mileka Gilbert United States
Marco Le Grazie Italy
Shiva Khoobyari United States
Danan Gan China
Anaïs Boulai France
Dae-Won Lee relative to E. Falcó Spain E. Falcó's profile →
Citations per field
00.5×4.5×
E. Falcó · 1×
Citations per year

Countries citing papers authored by Dae-Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201993
2 201451
3 202033
4 201733
5 201621
6 201617
7 20187
8 20194
9 20251

About Dae-Won Lee

Dae-Won Lee is a scholar working on Oncology, Pathology and Forensic Medicine, Hepatology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 260 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Genetic factors in colorectal cancer (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hepatology (48 citations), Oncology (131 citations), Pathology and Forensic Medicine (76 citations), Cancer Research (45 citations) and Dermatology (18 citations). Dae-Won Lee has collaborated with scholars based in South Korea, France and Ethiopia. Frequent co-authors include Sae‐Won Han, Tae‐You Kim, Gyeong Hoon Kang, Jeong Mo Bae, Seung‐Yong Jeong, Kyu Joo Park, Seock‐Ah Im, Do‐Youn Oh, Kyung-Hun Lee and Duhee Bang. Their work appears in journals such as Clinical Cancer Research, British Journal of Cancer, Cancer Research and Treatment, Frontiers in Immunology and BMC Cancer.

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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