Chung Lee

9.7k citations
300 papers · 7.1k · h-index 45

Impact in

  • Urology top 0.2%
    • Urinary Bladder and Prostate Research
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

Chung Lee

289 papers receiving 6.9k citations

Peers

Chung Lee
Comparison fields: 5 of 161
  • Urology 821
  • Oncology 1.3k
  • Pulmonary and Respiratory Medicine 1.6k
  • Gastroenterology 243
  • Endocrinology, Diabetes and Metabolism 732
Replace Michael R. Freeman with:
Michael R. Freeman United States
Jennifer Southgate United Kingdom
Yutaka Yatomi Japan
Yusuke Nakamura Japan
Yasuhisa Fujii Japan
Wei Zhou China
Ming‐Jer Tang Taiwan
Michael Ittmann United States
Kazunori Kihara Japan
Maria Tretiakova United States
Chung Lee relative to Michael R. Freeman United States Michael R. Freeman's profile →
Citations per field
00.5×4.6×
Michael R. Freeman · 1×
Citations per year

Countries citing papers authored by Chung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chung Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chung Lee Line = papers co-authored together Chung Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 300 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007362
2 2003231
3 2003200
4 1994184
5 2002164
6 2003156
7 1999130
8 1990129
9 2007114
10 2005109
11 1990108
12 1991104
13 200994
14 199194
15 199693
16
Loss of expression of transforming growth factor-beta receptors is associated with poor prognosis in prostate cancer patients.
199892
17 200289
18 199087
19 200086
20 199680

About Chung Lee

Chung Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 300 papers that have together received 7.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (47 papers), Hormonal and reproductive studies (29 papers), TGF-β signaling in diseases (24 papers), Prostate Cancer Diagnosis and Treatment (20 papers), Urinary Bladder and Prostate Research (17 papers), Music and Audio Processing (14 papers), Gastroesophageal reflux and treatments (12 papers) and Sperm and Testicular Function (12 papers). The work is most often cited by research in Urology (821 citations), Oncology (1.3k citations), Pulmonary and Respiratory Medicine (1.6k citations), Gastroenterology (243 citations) and Endocrinology, Diabetes and Metabolism (732 citations). Chung Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include James M. Kozlowski, Julia A. Sensibar, John T. Grayhack, Kevin E. McKenna, Edward R. Sherwood, Qiang Zhang, Kevin T. McVary, Ali Shah, Ximing J. Yang and Georg Steiner. Their work appears in journals such as The Prostate, The Journal of Urology, Endocrinology, Cancer Research and Biology of Reproduction.

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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