Lan Wu
Impact in
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- Renin-Angiotensin System Studies
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- Hormonal Regulation and Hypertension
Papers in
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- Receptor Mechanisms and Signaling 3
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- Renin-Angiotensin System Studies 4
- Co-authors
- Masatsugu Horiuchi (7 shared papers)Masaru Iwai (7 shared papers)Tetsuya Shiuchi (4 shared papers)Taixing Cui (4 shared papers)Hironori Nakagami (2 shared papers)Toyohisa Jinno (2 shared papers)Masahiro Akishita (2 shared papers)Lunan Zhang (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Circulation (2 papers)Journal of Hypertension (1 paper)Lipids in Health and Disease (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Lan Wu
10 papers receiving 456 citations
Peers
Comparison fields: 5 of 64
- Cardiology and Cardiovascular Medicine 281
- Endocrinology, Diabetes and Metabolism 147
- Genetics 37
- Molecular Biology 224
- Immunology 58
Countries citing papers authored by Lan Wu
This map shows the geographic impact of Lan Wu'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 Lan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wu more than expected).
Fields of papers citing papers by Lan Wu
This network shows the impact of papers produced by Lan Wu. 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 Lan Wu. The network helps show where Lan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wu, 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 | 2002 | 104 | |
| 2 | 2000 | 94 | |
| 3 | 2003 | 80 | |
| 4 | 2003 | 58 | |
| 5 | 2003 | 54 | |
| 6 | 2002 | 49 | |
| 7 | 2001 | 17 | |
| 8 | 2010 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2016 | 2 |
About Lan Wu
Lan Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Oncology, having authored 10 papers that have together received 465 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Receptor Mechanisms and Signaling (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Hormonal Regulation and Hypertension (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (281 citations), Endocrinology, Diabetes and Metabolism (147 citations), Genetics (37 citations), Molecular Biology (224 citations) and Immunology (58 citations). Lan Wu has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masatsugu Horiuchi, Masaru Iwai, Tetsuya Shiuchi, Taixing Cui, Hironori Nakagami, Toyohisa Jinno, Masahiro Akishita, Lunan Zhang, Yasuyoshi Ouchi and Victor J. Dzau. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Journal of Hypertension, Lipids in Health and Disease and American Journal of Physiology-Heart and Circulatory Physiology.
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.