Sang‐Cheol Lee

118 total papers · 2.1k total citations
77 papers, 1.5k citations indexed

About

Sang‐Cheol Lee is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Sang‐Cheol Lee has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 28 papers in Oncology and 14 papers in Surgery. Recurrent topics in Sang‐Cheol Lee's work include Pancreatic and Hepatic Oncology Research (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Gastric Cancer Management and Outcomes (9 papers). Sang‐Cheol Lee is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Gastric Cancer Management and Outcomes (9 papers). Sang‐Cheol Lee collaborates with scholars based in South Korea, United States and Ethiopia. Sang‐Cheol Lee's co-authors include Won Ki Kang, Se Hoon Park, Ho Yeong Lim, Young Suk Park, Jeeyun Lee, Joon Oh Park, Jung Hun Kang, In Gyu Hwang, Keon Woo Park and Sung Yong Oh and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Sang‐Cheol Lee

73 papers receiving 1.4k citations

Hit Papers

Salvage Chemotherapy for ... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sang‐Cheol Lee 854 594 543 232 187 77 1.5k
Tomoyuki Matsunaga 636 0.7× 751 1.3× 630 1.2× 207 0.9× 141 0.8× 137 1.7k
Marino Venerito 619 0.7× 320 0.5× 1.1k 2.0× 204 0.9× 416 2.2× 98 1.8k
Yoshio Haga 570 0.7× 531 0.9× 904 1.7× 64 0.3× 117 0.6× 82 1.8k
Russell J. Nauta 333 0.4× 427 0.7× 378 0.7× 87 0.4× 96 0.5× 51 1.5k
A Cavallaro 651 0.8× 452 0.8× 674 1.2× 75 0.3× 55 0.3× 93 1.4k
Teruo Kiyama 440 0.5× 257 0.4× 471 0.9× 84 0.4× 124 0.7× 70 1.2k
Sunjay Jain 355 0.4× 530 0.9× 684 1.3× 221 1.0× 56 0.3× 60 1.5k
Hideki Kawamura 489 0.6× 415 0.7× 387 0.7× 91 0.4× 251 1.3× 98 1.4k
Hee Seok Moon 470 0.6× 263 0.4× 551 1.0× 76 0.3× 351 1.9× 155 1.4k
Satoshi Murata 321 0.4× 478 0.8× 387 0.7× 59 0.3× 70 0.4× 101 1.5k

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

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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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