Sang‐Cheol Lee

2.8k total citations
136 papers, 2.0k citations indexed

About

Sang‐Cheol Lee is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Sang‐Cheol Lee has authored 136 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Pulmonary and Respiratory Medicine, 50 papers in Molecular Biology and 41 papers in Surgery. Recurrent topics in Sang‐Cheol Lee's work include Bladder and Urothelial Cancer Treatments (35 papers), Kidney Stones and Urolithiasis Treatments (24 papers) and Urinary and Genital Oncology Studies (17 papers). Sang‐Cheol Lee is often cited by papers focused on Bladder and Urothelial Cancer Treatments (35 papers), Kidney Stones and Urolithiasis Treatments (24 papers) and Urinary and Genital Oncology Studies (17 papers). Sang‐Cheol Lee collaborates with scholars based in South Korea, United States and United Kingdom. Sang‐Cheol Lee's co-authors include Wun‐Jae Kim, Yong‐June Kim, Seok Joong Yun, Won Tae Kim, Ho Won Kang, Yun‐Sok Ha, Pildu Jeong, Seon‐Kyu Kim, Sung‐Kwon Moon and Suk‐Chul Bae and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Sang‐Cheol Lee

128 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Cheol Lee South Korea 23 914 814 637 405 279 136 2.0k
Egbert R. Boevé Netherlands 22 568 0.6× 1.2k 1.5× 895 1.4× 107 0.3× 222 0.8× 52 2.1k
Petra Seemann Germany 26 1.2k 1.4× 532 0.7× 207 0.3× 159 0.4× 268 1.0× 54 2.8k
P. Levillain France 25 478 0.5× 423 0.5× 340 0.5× 204 0.5× 305 1.1× 111 1.9k
Jianguo Zhu China 27 1.1k 1.2× 597 0.7× 112 0.2× 719 1.8× 276 1.0× 89 2.1k
Yu Sasaki Japan 19 409 0.4× 354 0.4× 455 0.7× 317 0.8× 245 0.9× 128 1.7k
Hung‐Lung Ke Taiwan 25 529 0.6× 473 0.6× 892 1.4× 276 0.7× 315 1.1× 121 1.8k
Domenico Prezioso Italy 25 255 0.3× 557 0.7× 243 0.4× 84 0.2× 137 0.5× 80 1.5k
W Fried United States 29 514 0.6× 356 0.4× 176 0.3× 196 0.5× 288 1.0× 119 3.4k
Hiroyasu Yamamoto Japan 23 209 0.2× 226 0.3× 404 0.6× 109 0.3× 121 0.4× 143 1.9k
Jessica Schmitz Germany 17 462 0.5× 303 0.4× 316 0.5× 278 0.7× 137 0.5× 67 1.4k

Countries citing papers authored by Sang‐Cheol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Cheol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Cheol 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 Sang‐Cheol Lee. The network helps show where Sang‐Cheol Lee may publish in the future.

Co-authorship network of co-authors of Sang‐Cheol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Cheol Lee. A scholar is included among the top collaborators of Sang‐Cheol 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 Sang‐Cheol Lee. Sang‐Cheol 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.
Ha, Yun‐Sok, Mina Kim, Won Tae Kim, et al.. (2025). Incidence and mortality of upper tract urothelial carcinoma in Korea: A nationwide population-based study conducted from 2002 to 2020. Investigative and Clinical Urology. 66(1). 11–11.
3.
Yu, Jingjing, Sang‐Cheol Lee, Octavio Castillo, et al.. (2023). P-112 Assessing the accuracy of CT staging for tumor and nodal staging in colon cancer. Annals of Oncology. 34. S54–S54. 2 indexed citations
4.
Park, Jaejin, et al.. (2023). Genetic Diversity and Population Structure of the Slender Racer (Orientocoluber spinalis) in South Korea. Diversity. 15(4). 543–543. 1 indexed citations
5.
Kang, Ho Won, Young Joon Byun, Kyeong Kim, et al.. (2022). Urinary hsv2-miR-H9 to hsa-miR-3659 ratio is an effective marker for discriminating prostate cancer from benign prostate hyperplasia in patients within the prostate-specific antigen grey zone. Investigative and Clinical Urology. 63(2). 238–238. 6 indexed citations
6.
Lee, Sang‐Cheol, et al.. (2021). A Case Study on Curling Stone and Sweeping Effect According to Sweeping Conditions. International Journal of Environmental Research and Public Health. 18(2). 833–833. 8 indexed citations
7.
Chung, Jae-Wook, Yun‐Sok Ha, Seung Chol Park, et al.. (2021). The prognostic value of the pretreatment serum albumin to globulin ratio for predicting adverse pathology in patients undergoing radical prostatectomy for prostate cancer. Investigative and Clinical Urology. 62(5). 545–545. 9 indexed citations
8.
Byun, Young Joon, Ho Won Kang, Xuan‐Mei Piao, et al.. (2021). Expression of hsv1-miR-H18 and hsv2-miR-H9 as a field defect marker for detecting prostate cancer. Prostate International. 10(1). 1–6. 4 indexed citations
9.
Byun, Young Joon, Xuan‐Mei Piao, Pildu Jeong, et al.. (2021). Urinary microRNA-1913 to microRNA-3659 expression ratio as a non-invasive diagnostic biomarker for prostate cancer. Investigative and Clinical Urology. 62(3). 340–340. 17 indexed citations
10.
11.
Kang, Ho Won, Young Joon Byun, Xuan‐Mei Piao, et al.. (2019). Methylation Signature for Prediction of Progression Free Survival in Surgically Treated Clear Cell Renal Cell Carcinoma. Journal of Korean Medical Science. 34(19). e144–e144. 17 indexed citations
12.
Kang, Ho Won, Won Tae Kim, Seok Joong Yun, et al.. (2019). The age-adjusted Charlson comorbidity index as a predictor of overall survival of surgically treated non-metastatic clear cell renal cell carcinoma. Journal of Cancer Research and Clinical Oncology. 146(1). 187–196. 27 indexed citations
13.
Kang, Ho Won, Won Tae Kim, Seok Joong Yun, et al.. (2016). Impact of Young Age at Diagnosis on Survival in Patients with Surgically Treated Renal Cell Carcinoma: a Multicenter Study. Journal of Korean Medical Science. 31(12). 1976–1976. 22 indexed citations
14.
Lim, Sung-Nam, Hyesook Han, Sang‐Cheol Lee, et al.. (2015). A Satisfaction Survey on Cancer Pain Management Using a Self-Reporting Pain Assessment Tool. Journal of Palliative Medicine. 18(3). 225–231. 13 indexed citations
15.
Lee, Soon Il, Se Hoon Park, Silvia Park, et al.. (2015). A Phase II Study of Weekly Docetaxel as Second-Line Chemotherapy in Patients With Metastatic Urothelial Carcinoma. Clinical Genitourinary Cancer. 14(1). 76–81. 11 indexed citations
16.
Kang, Ho Won, Won Tae Kim, Yong‐June Kim, et al.. (2014). Effect of Renal Insufficiency on Stone Recurrence in Patients with Urolithiasis. Journal of Korean Medical Science. 29(8). 1132–1132. 13 indexed citations
17.
Kang, Ho Won, Phil Hyun Song, Yun‐Sok Ha, et al.. (2013). Glutathione S-transferase M1 and T1 polymorphisms: Susceptibility and outcomes in muscle invasive bladder cancer patients. European Journal of Cancer. 49(14). 3010–3019. 21 indexed citations
18.
Lee, Sang‐Cheol. (2012). The Colonial Origin of Economic Bureaucrat in Korea (During 1950s~Early 1960s). 202–247.
19.
Kim, Seon‐Kyu, Youngwon Kim, Ho Won Kang, et al.. (2012). Combined Hypermethylation of APC and GSTP1 as a Molecular Marker for Prostate Cancer: Quantitative Pyrosequencing Analysis. SLAS DISCOVERY. 17(7). 987–992. 18 indexed citations
20.
Kim, Young‐Keun, et al.. (2006). 신증후출혈열에서 급성 핍뇨성 신부전의 임상양상 및 예측인자. The Korean Journal of Internal Medicine. 70(2). 190–195. 2 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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