Won‐Chul Lee

3.8k total citations
45 papers, 2.1k citations indexed

About

Won‐Chul Lee is a scholar working on Molecular Biology, Cancer Research and General Health Professions. According to data from OpenAlex, Won‐Chul Lee has authored 45 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in General Health Professions. Recurrent topics in Won‐Chul Lee's work include Cancer Genomics and Diagnostics (8 papers), Diabetes Management and Research (4 papers) and Traditional Chinese Medicine Studies (4 papers). Won‐Chul Lee is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Diabetes Management and Research (4 papers) and Traditional Chinese Medicine Studies (4 papers). Won‐Chul Lee collaborates with scholars based in South Korea, United States and Japan. Won‐Chul Lee's co-authors include Hyuk‐Sang Kwon, Jong‐Il Kim, Jong-Yeon Shin, Jeong‐Sun Seo, Young Seok Ju, Thomas Bleazard, Jin Hyoung Kang, Kun‐Ho Yoon, Young Tae Kim and Ho‐Young Son and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Won‐Chul Lee

41 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won‐Chul Lee South Korea 20 792 512 458 439 370 45 2.1k
Chan Zeng United States 27 748 0.9× 332 0.6× 200 0.4× 141 0.3× 423 1.1× 63 2.4k
Rosalind P. Fabunmi United States 19 1.1k 1.3× 272 0.5× 343 0.7× 746 1.7× 419 1.1× 30 3.7k
Guangyu Zhang China 29 938 1.2× 262 0.5× 139 0.3× 451 1.0× 434 1.2× 100 3.1k
Haipeng Xiao China 32 1.3k 1.6× 301 0.6× 992 2.2× 705 1.6× 523 1.4× 178 3.7k
Ido Wolf Israel 32 1.5k 1.9× 472 0.9× 293 0.6× 705 1.6× 1.6k 4.2× 158 4.2k
Janardan D. Khandekar United States 24 535 0.7× 481 0.9× 698 1.5× 532 1.2× 1.3k 3.5× 78 3.3k
Linda K. Weiss United States 30 530 0.7× 273 0.5× 200 0.4× 614 1.4× 1.6k 4.2× 53 3.1k
Clara Chen United States 24 604 0.8× 401 0.8× 155 0.3× 192 0.4× 832 2.2× 101 2.6k
Dov Shiffman United States 33 996 1.3× 184 0.4× 453 1.0× 452 1.0× 335 0.9× 70 3.1k
Liyue Tong United States 21 434 0.5× 372 0.7× 165 0.4× 97 0.2× 476 1.3× 46 1.9k

Countries citing papers authored by Won‐Chul Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Chul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won‐Chul Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Chul Lee. A scholar is included among the top collaborators of Won‐Chul 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 Won‐Chul Lee. Won‐Chul 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.
Huang, Jin, Guofeng Zhao, Peng Qiu, et al.. (2023). Analysis of genomic and immune intratumor heterogeneity in linitis plastica via multiregional exome and T‐cell receptor sequencing. Molecular Oncology. 17(8). 1531–1544. 2 indexed citations
2.
Koh, Eun Hye, Ji‐Young Moon, Sung-Youn Kim, et al.. (2020). A cyclodextrin-decorated plasmonic gold nanosatellite substrate for selective detection of bipyridylium pesticides. The Analyst. 146(1). 305–314. 24 indexed citations
3.
4.
Han, Kyungdo, Hyun‐Ah Kim, Young-Hoon Park, et al.. (2015). The Gender-Dependent Association between Obesity and Age-Related Cataracts in Middle-Aged Korean Adults. PLoS ONE. 10(5). e0124262–e0124262. 16 indexed citations
5.
6.
Han, Sae‐Won, Hwang-Phill Kim, Jong-Yeon Shin, et al.. (2014). RNA editing in RHOQ promotes invasion potential in colorectal cancer. The Journal of Experimental Medicine. 211(4). 613–621. 93 indexed citations
7.
Shin, Jeong‐Ah, Jinhee Lee, Sun‐Young Lim, et al.. (2013). Metabolic syndrome as a predictor of type 2 diabetes, and its clinical interpretations and usefulness. Journal of Diabetes Investigation. 4(4). 334–343. 248 indexed citations
8.
Seo, Jeong‐Sun, Young Seok Ju, Won‐Chul Lee, et al.. (2012). The transcriptional landscape and mutational profile of lung adenocarcinoma. Genome Research. 22(11). 2109–2119. 427 indexed citations
9.
Ju, Young Seok, Won‐Chul Lee, Jong-Yeon Shin, et al.. (2011). A transforming KIF5B and RET gene fusion in lung adenocarcinoma revealed from whole-genome and transcriptome sequencing. Genome Research. 22(3). 436–445. 351 indexed citations
10.
Yoo, Ki‐Dong, Seung‐Hyun Ko, Ji‐Eun Park, et al.. (2011). High serum ferritin levels are associated with metabolic risk factors in non‐obese Korean young adults: Korean National Health and Nutrition Examination Survey (KNHANES) IV. Clinical Endocrinology. 77(2). 233–240. 26 indexed citations
11.
Hong, Dongwan, Sung Soo Park, Young Seok Ju, et al.. (2010). TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology. Nucleic Acids Research. 39(suppl_1). D883–D888. 11 indexed citations
12.
Lim, Byungmook, et al.. (2010). Attitude of Western Medicine, Korean Medicine, and Nursing Students toward the East-West Collaborative Medical Practices. 14(1). 25–35. 4 indexed citations
13.
Lee, Won‐Chul, et al.. (2010). Coordinators' Roles and Activation Plans for East-West Collaborative Medical Practices. 14(1). 13–24. 2 indexed citations
14.
Park, Yong‐Moon, Hyuk‐Sang Kwon, Jinhee Lee, et al.. (2010). Prevalence, Awareness, Treatment, and Control of Hypertension Among People Over 40 Years Old in a Rural Area of South Korea: The Chungju Metabolic Disease Cohort (CMC) Study. Clinical and Experimental Hypertension. 32(3). 166–178. 35 indexed citations
15.
Lee, Byung-Cheon, et al.. (2008). Proteomic Analysis for Tissues and Liquid from Bonghan Ducts on Rabbit Intestinal Surfaces. Journal of Acupuncture and Meridian Studies. 1(2). 97–109. 37 indexed citations
16.
Cho, Kiho, et al.. (2006). Clinical Effects of Korean Ginseng, Korean Red Ginseng, Chinese Ginseng, and American Ginseng on Blood Pressure in Mild Hypertensive Subjects. 27(4). 198–208. 3 indexed citations
17.
Kim, Juwon, et al.. (2004). Effects of Rhei Rhizoma on c-fos and c-jun Expressions in the Hippocampus of Old BCAO Rats. The Journal of Internal Korean Medicine. 25(3). 473–481.
18.
Kwon, Hyuk‐Sang, Jae‐Hyoung Cho, Heesoo Kim, et al.. (2004). Development of web-based diabetic patient management system using short message service (SMS). Diabetes Research and Clinical Practice. 66. S133–S137. 121 indexed citations
19.
Hong, Yun‐Chul, et al.. (1992). Case-Control Study on Effects of Alcohol Intake and Smoking to Gastritis of Korean Adult Men. Journal of Preventive Medicine and Public Health. 25(3). 238–246. 3 indexed citations
20.
Lee, Kang‐Sook, et al.. (1988). Maternal Factors Associated with the Premature Rupture of Membrane in the Low Birth Weight Infant Deliveries. Journal of Preventive Medicine and Public Health. 21(2). 207–216. 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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