Dae-Won Lee

422 total citations
9 papers, 260 citations indexed

About

Dae-Won Lee is a scholar working on Oncology, Pathology and Forensic Medicine and Hepatology. According to data from OpenAlex, Dae-Won Lee has authored 9 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Pathology and Forensic Medicine and 3 papers in Hepatology. Recurrent topics in Dae-Won Lee's work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Genomics and Diagnostics (2 papers). Dae-Won Lee is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Genomics and Diagnostics (2 papers). Dae-Won Lee collaborates with scholars based in South Korea, Ethiopia and France. Dae-Won Lee's co-authors include Sae‐Won Han, Tae‐You Kim, Jeong Mo Bae, Seung‐Yong Jeong, Gyeong Hoon Kang, Kyu Joo Park, Seock‐Ah Im, Do‐Youn Oh, Kyung-Hun Lee and Hoon Jang and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

Dae-Won Lee

9 papers receiving 258 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dae-Won Lee South Korea 7 131 83 76 66 48 9 260
Colan Ho-Yen United Kingdom 7 138 1.1× 122 1.5× 32 0.4× 43 0.7× 39 0.8× 12 288
E. Falcó Spain 10 176 1.3× 51 0.6× 39 0.5× 136 2.1× 33 0.7× 37 292
Yujiro Fujie Japan 8 177 1.4× 119 1.4× 28 0.4× 53 0.8× 43 0.9× 25 335
Anaïs Boulai France 5 69 0.5× 69 0.8× 23 0.3× 25 0.4× 11 0.2× 6 167
Benno Traub Germany 9 156 1.2× 126 1.5× 26 0.3× 48 0.7× 9 0.2× 20 307
Mileka Gilbert United States 6 192 1.5× 47 0.6× 54 0.7× 96 1.5× 10 0.2× 13 416
Marco Le Grazie Italy 7 128 1.0× 88 1.1× 21 0.3× 100 1.5× 43 0.9× 12 308
Shaohan Wu China 10 99 0.8× 190 2.3× 27 0.4× 42 0.6× 30 0.6× 20 320
Jialin Qu China 12 99 0.8× 149 1.8× 42 0.6× 88 1.3× 47 1.0× 24 309

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-authorship network of co-authors of Dae-Won Lee

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

All Works

9 of 9 papers shown
1.
Park, Hye Eun, Dae-Won Lee, Sae‐Won Han, et al.. (2025). Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers. Frontiers in Immunology. 16. 1601188–1601188. 1 indexed citations
2.
Lee, Dae-Won, Eun Ju Cho, Su Jong Yu, et al.. (2020). Phase II Study of Avelumab in Patients with Advanced Hepatocellular Carcinoma Previously Treated with Sorafenib. Clinical Cancer Research. 27(3). 713–718. 33 indexed citations
3.
Lee, Dae-Won, Sae‐Won Han, Jeong Mo Bae, et al.. (2019). Tumor Mutation Burden and Prognosis in Patients with Colorectal Cancer Treated with Adjuvant Fluoropyrimidine and Oxaliplatin. Clinical Cancer Research. 25(20). 6141–6147. 93 indexed citations
5.
Lee, Dae-Won, Kyung-Hun Lee, Hee Jun Kim, et al.. (2018). A phase II trial of S-1 and oxaliplatin in patients with advanced hepatocellular carcinoma. BMC Cancer. 18(1). 252–252. 7 indexed citations
6.
Lee, Jin Ha, Jae‐Min Kim, Dae-Won Lee, et al.. (2017). Ulmus macrocarpa Hance Extracts Attenuated H2O2 and UVB-Induced Skin Photo-Aging by Activating Antioxidant Enzymes and Inhibiting MAPK Pathways. International Journal of Molecular Sciences. 18(6). 1200–1200. 33 indexed citations
7.
Lee, Dae-Won, Myoung‐jin Jang, Kyung-Hun Lee, et al.. (2016). TTP as a surrogate endpoint in advanced hepatocellular carcinoma treated with molecular targeted therapy: meta-analysis of randomised controlled trials. British Journal of Cancer. 115(10). 1201–1205. 21 indexed citations
8.
Kim, Mi Jung, Sae‐Won Han, Dae-Won Lee, et al.. (2016). Splenomegaly and Its Associations with Genetic Polymorphisms and Treatment Outcome in Colorectal Cancer Patients Treated with Adjuvant FOLFOX. Cancer Research and Treatment. 48(3). 990–997. 17 indexed citations
9.
Lee, Dae-Won, Sae‐Won Han, Hyun Jung Lee, et al.. (2014). KRAS Mutation is Associated with Worse Prognosis in Stage III or High-risk Stage II Colon Cancer Patients Treated with Adjuvant FOLFOX. Annals of Surgical Oncology. 22(1). 187–194. 51 indexed citations

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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