Mu-En Lee
Impact in
- Molecular Biology top 5%
- Heme Oxygenase-1 and Carbon Monoxide
- Angiogenesis and VEGF in Cancer
- Cancer-related gene regulation
- Wnt/β-catenin signaling in development and cancer
- Kruppel-like factors research
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
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- Cell Adhesion Molecules Research 8
-
- Signaling Pathways in Disease 5
- Heme Oxygenase-1 and Carbon Monoxide 4
- Angiogenesis and VEGF in Cancer 3
- Receptor Mechanisms and Signaling 3
- Co-authors
- Mark A. PerrellaChung-Ming HsiehShaw‐Fang YetMatthew D. LayneKoji MaemuraMasao YoshizumiEdgar HaberJer‐Chia Tsai
- Journals
- Journal of Biological Chemistry (13 papers)Circulation Research (3 papers)Trends in Cardiovascular Medicine (2 papers)The FASEB Journal (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Mu-En Lee
31 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.8k
- Cancer Research 389
- Immunology and Allergy 156
- Rheumatology 281
- Critical Care and Intensive Care Medicine 82
Countries citing papers authored by Mu-En Lee
This map shows the geographic impact of Mu-En 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 Mu-En Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu-En Lee more than expected).
Fields of papers citing papers by Mu-En Lee
This network shows the impact of papers produced by Mu-En 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 Mu-En Lee. The network helps show where Mu-En Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mu-En Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2004 | 24 | |
| 4 | 2001 | 296 | |
| 5 | 2001 | 55 | |
| 6 | 2000 | 54 | |
| 7 | 2000 | 143 | |
| 8 | 1999 | 339 | |
| 9 | 1999 | 20 | |
| 10 | 1999 | 97 | |
| 11 | 1998 | 65 | |
| 12 | 1998 | 77 | |
| 13 | 1997 | 58 | |
| 14 | 1996 | 36 | |
| 15 | 1996 | 57 | |
| 16 | 1995 | 145 | |
| 17 | 1995 | 291 | |
| 18 | 1994 | 24 | |
| 19 | 1994 | 19 | |
| 20 | 1992 | 12 |
About Mu-En Lee
Mu-En Lee is a scholar working on Immunology and Allergy, Molecular Biology, Endocrine and Autonomic Systems, Immunology and Internal Medicine, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Signaling Pathways in Disease (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Galectins and Cancer Biology (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Nuclear Receptors and Signaling (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (389 citations), Immunology and Allergy (156 citations), Rheumatology (281 citations) and Critical Care and Intensive Care Medicine (82 citations). Mu-En Lee has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Mark A. Perrella, Chung-Ming Hsieh, Shaw‐Fang Yet, Matthew D. Layne, Koji Maemura, Masao Yoshizumi, Edgar Haber, Jer‐Chia Tsai, Philippe Wiesel and Cam Patterson. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research, Trends in Cardiovascular Medicine, The FASEB Journal and Molecular and Cellular Biology.
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.