Ning‐hua Wu
Impact in
- Pharmacology top 5%
- Berberine and alkaloids research
- Alkaloids: synthesis and pharmacology
Papers in
-
- Heat shock proteins research 6
- Ubiquitin and proteasome pathways 3
- Signaling Pathways in Disease 2
-
- Berberine and alkaloids research 7
- Co-authors
- Yufei Shen (19 shared papers)Qingjie Chen (8 shared papers)Jiawen Wang (3 shared papers)Xiufen Liu (3 shared papers)Yuandong Yu (2 shared papers)Juan Chen (2 shared papers)Qingjie Chen (3 shared papers)Xin Zou (2 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)Journal of Cellular Biochemistry (3 papers)Journal of Biological Chemistry (3 papers)BioFactors (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ning‐hua Wu
35 papers receiving 743 citations
Peers
Comparison fields: 5 of 93
- Biological Psychiatry 27
- Pharmacology 166
- Pharmacology 67
- Neurology 45
- Molecular Biology 360
Countries citing papers authored by Ning‐hua Wu
This map shows the geographic impact of Ning‐hua 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 Ning‐hua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning‐hua Wu more than expected).
Fields of papers citing papers by Ning‐hua Wu
This network shows the impact of papers produced by Ning‐hua 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 Ning‐hua Wu. The network helps show where Ning‐hua Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning‐hua 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2017 | 76 | |
| 3 | 2018 | 63 | |
| 4 | 2004 | 50 | |
| 5 | 2019 | 44 | |
| 6 | 2021 | 41 | |
| 7 | 1997 | 41 | |
| 8 | 2021 | 38 | |
| 9 | 2007 | 35 | |
| 10 | 2019 | 32 | |
| 11 | 2018 | 30 | |
| 12 | 2010 | 29 | |
| 13 | 2009 | 27 | |
| 14 | 2003 | 25 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2007 | 14 | |
| 18 | 2007 | 13 | |
| 19 | 2010 | 12 | |
| 20 | 2015 | 12 |
About Ning‐hua Wu
Ning‐hua Wu is a scholar working on Molecular Biology, Pharmacology, Oncology, Pharmacology and Cell Biology, having authored 35 papers that have together received 749 indexed citations. Recurring topics across this work include Berberine and alkaloids research (7 papers), Heat shock proteins research (6 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), Signaling Pathways in Disease (2 papers), Pancreatic function and diabetes (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Pharmacology (166 citations), Pharmacology (67 citations), Neurology (45 citations) and Molecular Biology (360 citations). Ning‐hua Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yufei Shen, Qingjie Chen, Jiawen Wang, Xiufen Liu, Yuandong Yu, Juan Chen, Qingjie Chen, Xin Zou, Yu Ye and Ye Zhang. Their work appears in journals such as Frontiers in Pharmacology, Journal of Cellular Biochemistry, Journal of Biological Chemistry, BioFactors and Biochemical and Biophysical Research Communications.
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.