Lan Wu
Impact in
-
- Renin-Angiotensin System Studies
- Blood Pressure and Hypertension Studies
-
- Hormonal Regulation and Hypertension
Papers in
-
- Genomics and Phylogenetic Studies 9
- Plant biochemistry and biosynthesis 8
- Identification and Quantification in Food 8
- Plant Gene Expression Analysis 6
- Receptor Mechanisms and Signaling 5
-
- Plant Molecular Biology Research 7
- Co-authors
- Masatsugu Horiuchi (11 shared papers)Masaru Iwai (10 shared papers)Taixing Cui (7 shared papers)Tetsuya Shiuchi (6 shared papers)Hironori Nakagami (4 shared papers)Rui Chen (6 shared papers)Jian‐Mei Li (6 shared papers)Jun Suzuki (5 shared papers)
- Journals
- Frontiers in Plant Science (7 papers)Hypertension (5 papers)Scientific Reports (4 papers)Chinese Medicine (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lan Wu
76 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 572
- Endocrinology, Diabetes and Metabolism 395
- Molecular Biology 1.1k
- Food Science 196
- Plant Science 365
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
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 196 | |
| 2 | 2001 | 184 | |
| 3 | 2002 | 134 | |
| 4 | 1995 | 78 | |
| 5 | 1999 | 74 | |
| 6 | 2002 | 72 | |
| 7 | 2018 | 69 | |
| 8 | 2010 | 69 | |
| 9 | 2004 | 69 | |
| 10 | 2002 | 56 | |
| 11 | 2015 | 52 | |
| 12 | 1992 | 52 | |
| 13 | 2010 | 52 | |
| 14 | 2018 | 49 | |
| 15 | 2003 | 49 | |
| 16 | 2002 | 45 | |
| 17 | 2003 | 41 | |
| 18 | 2016 | 41 | |
| 19 | 2021 | 40 | |
| 20 | 2022 | 37 |
About Lan Wu
Lan Wu is a scholar working on Molecular Biology, Plant Science, Food Science, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Renin-Angiotensin System Studies (9 papers), Plant biochemistry and biosynthesis (8 papers), Identification and Quantification in Food (8 papers), Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (6 papers), Traditional Chinese Medicine Analysis (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (572 citations), Endocrinology, Diabetes and Metabolism (395 citations), Molecular Biology (1.1k citations), Food Science (196 citations) and Plant Science (365 citations). Lan Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Masatsugu Horiuchi, Masaru Iwai, Taixing Cui, Tetsuya Shiuchi, Hironori Nakagami, Rui Chen, Jian‐Mei Li, Jun Suzuki, Midori Okumura and Yuhua Shi. Their work appears in journals such as Frontiers in Plant Science, Hypertension, Scientific Reports, Chinese Medicine and International Journal of Molecular Sciences.
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.