Eung Bae Lee

1.6k total citations
56 papers, 1.1k citations indexed

About

Eung Bae Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Eung Bae Lee has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Eung Bae Lee's work include Lung Cancer Treatments and Mutations (20 papers), RNA modifications and cancer (18 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Eung Bae Lee is often cited by papers focused on Lung Cancer Treatments and Mutations (20 papers), RNA modifications and cancer (18 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Eung Bae Lee collaborates with scholars based in South Korea, China and Ethiopia. Eung Bae Lee's co-authors include Jae Yong Park, Sukki Cho, Chang Ho Kim, Jin Eun Choi, Tae Hoon Jung, Seung Ick, Shin Yup Lee, Guang Jin, Seung Soo Yoo and Dong Sun Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Eung Bae Lee

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eung Bae Lee South Korea 20 653 544 369 286 188 56 1.1k
Yasuro Fukuyama Japan 17 592 0.9× 728 1.3× 447 1.2× 180 0.6× 138 0.7× 41 1.4k
Noreli Franco United States 15 238 0.4× 624 1.1× 199 0.5× 183 0.6× 189 1.0× 31 1.1k
Zuli Yang China 18 297 0.5× 442 0.8× 290 0.8× 224 0.8× 176 0.9× 44 963
Yang Qu China 16 433 0.7× 302 0.6× 376 1.0× 144 0.5× 185 1.0× 53 1.0k
Jingwang Bi China 18 220 0.3× 619 1.1× 321 0.9× 334 1.2× 110 0.6× 27 989
Mikito Mori Japan 18 301 0.5× 453 0.8× 206 0.6× 342 1.2× 314 1.7× 54 999
Sang Soo Kim South Korea 18 283 0.4× 288 0.5× 255 0.7× 124 0.4× 185 1.0× 45 845
Kei Kunimasa Japan 19 860 1.3× 352 0.6× 786 2.1× 251 0.9× 74 0.4× 98 1.4k
Shouji Shimoyama Japan 20 473 0.7× 245 0.5× 234 0.6× 121 0.4× 334 1.8× 48 933
Ching-Liang Ho Taiwan 13 451 0.7× 251 0.5× 475 1.3× 89 0.3× 116 0.6× 27 923

Countries citing papers authored by Eung Bae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eung Bae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eung Bae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eung Bae Lee. A scholar is included among the top collaborators of Eung Bae 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 Eung Bae Lee. Eung Bae 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
1.
2.
Park, Se Jin, Dong Chul Lee, Han Koo, et al.. (2023). Regulating POLR3G by MicroRNA-26a-5p as a promising therapeutic target of lung cancer stemness and chemosensitivity. Non-coding RNA Research. 8(3). 273–281. 10 indexed citations
3.
Kyung, Sook, Sun Ha Choi, Shin Yup Lee, et al.. (2019). Glucose transporter 3 gene variant is associated with survival outcome of patients with non-small cell lung cancer after surgical resection. Gene. 703. 58–64. 6 indexed citations
4.
Lee, Shin Yup, Jin Eun Choi, Won Kee Lee, et al.. (2016). Polymorphisms in cancer-related pathway genes and lung cancer. European Respiratory Journal. 48(4). 1184–1191. 6 indexed citations
5.
Lee, Shin Yup, Jin Eun Choi, Mi Jeong Hong, et al.. (2016). PD-L1 polymorphism can predict clinical outcomes of non-small cell lung cancer patients treated with first-line paclitaxel-cisplatin chemotherapy. Scientific Reports. 6(1). 25952–25952. 36 indexed citations
6.
Lee, Shin Yup, Jin Eun Choi, Cheng Jin, et al.. (2016). Functional polymorphisms in PD-L1 gene are associated with the prognosis of patients with early stage non-small cell lung cancer. Gene. 599. 28–35. 45 indexed citations
7.
Lee, Shin Yup, Jin Eun Choi, Hyo-Sung Jeon, et al.. (2015). A Panel of Genetic Polymorphism for the Prediction of Prognosis in Patients with Early Stage Non-Small Cell Lung Cancer after Surgical Resection. PLoS ONE. 10(10). e0140216–e0140216. 9 indexed citations
8.
Shin, Kyung Min, Mi Jeong Hong, Hyo Jung Kang, et al.. (2015). The pri-let-7a-2 rs1143770C>T is associated with prognosis of surgically resected non-small cell lung cancer. Gene. 577(2). 148–152. 17 indexed citations
9.
Lee, Sungsoo, Hyeong Ryul Kim, Sukki Cho, et al.. (2014). Staple Line Coverage After Bullectomy for Primary Spontaneous Pneumothorax: A Randomized Trial. The Annals of Thoracic Surgery. 98(6). 2005–2011. 66 indexed citations
10.
Jeon, Hyo-Sung, Guang Jin, Yi Young Choi, et al.. (2013). A Functional Variant at 19q13.3, rs967591G>A, Is Associated with Shorter Survival of Early-Stage Lung Cancer. Clinical Cancer Research. 19(15). 4185–4195. 14 indexed citations
11.
Jin, Guang, Eun Young Bae, Eung Bae Lee, et al.. (2012). A Functional Polymorphism on Chromosome 15q25 Associated with Survival of Early Stage Non–Small-Cell Lung Cancer. Journal of Thoracic Oncology. 7(5). 808–814. 10 indexed citations
12.
Kim, Min Jung, Hyo‐Gyoung Kang, Shin Yup Lee, et al.. (2011). AKT1 polymorphisms and survival of early stage non‐small cell lung cancer. Journal of Surgical Oncology. 105(2). 167–174. 35 indexed citations
13.
Cho, Sukki & Eung Bae Lee. (2010). Management of primary and secondary pneumothorax using a small-bore thoracic catheter. Interactive Cardiovascular and Thoracic Surgery. 11(2). 146–149. 20 indexed citations
14.
Cho, Sukki, et al.. (2010). Prognostic Factors for Pulmonary Metastasectomy in the Treatment of Hepatocellular Carcinoma. Journal of Thoracic Oncology. 5(8). 1251–1254. 18 indexed citations
15.
Jin, Guang, Seung Soo Yoo, Sukki Cho, et al.. (2010). Dual roles of a variable number of tandem repeat polymorphism in the TERT gene in lung cancer. Cancer Science. 102(1). 144–149. 27 indexed citations
16.
Lee, Soo Jung, Byung Min Ahn, Jong Gwang Kim, et al.. (2009). Definitive Chemoradiotherapy with Capecitabine and Cisplatin in Patients with Esophageal Cancer: A Pilot Study. Journal of Korean Medical Science. 24(1). 120–120. 9 indexed citations
17.
Jin, Guang, Min Jung Kim, Hyo‐Sung Jeon, et al.. (2009). PTEN mutations and relationship to EGFR, ERBB2, KRAS, and TP53 mutations in non-small cell lung cancers. Lung Cancer. 69(3). 279–283. 148 indexed citations
18.
Cho, Sukki, et al.. (2008). Primary esophageal repair in Boerhaave's syndrome. Diseases of the Esophagus. 21(7). 660–663. 22 indexed citations
19.
Chae, Myung Hwa, Kyung Mee Kim, Eung Bae Lee, et al.. (2007). EGFR, ERBB2, and KRAS mutations in Korean non-small cell lung cancer patients. Cancer Genetics and Cytogenetics. 173(2). 107–113. 67 indexed citations
20.
Jheon, Sang Hoon, et al.. (2002). 원발성 자연기흉의 치료지침. The Korean Journal of Thoracic and Cardiovascular Surgery. 35(1). 43–47. 1 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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