Dunli Wu
- Molecular Biology top 10%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Hazel H. SzetoYi SoongGuomin ZhaoPeter W. SchillerKesheng ZhaoAlex BirkShaoyi LiuMichael T. Ganger
- Topics
- Neuropeptides and Animal Physiology (14 papers)Receptor Mechanisms and Signaling (8 papers)Neuroendocrine regulation and behavior (7 papers)
- Journals
- Journal of Biological ChemistryJournal of the American Society of NephrologyAmerican Journal of Obstetrics and Gynecology
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Dunli Wu
32 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 921
- Physiology 311
- Cellular and Molecular Neuroscience 295
- Pathology and Forensic Medicine 203
- Cardiology and Cardiovascular Medicine 134
Countries citing papers authored by Dunli Wu
This map shows the geographic impact of Dunli 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 Dunli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dunli Wu more than expected).
Fields of papers citing papers by Dunli Wu
This network shows the impact of papers produced by Dunli 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 Dunli Wu. The network helps show where Dunli Wu may publish in the future.
Co-authorship network of co-authors of Dunli Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Dunli Wu. A scholar is included among the top collaborators of Dunli Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dunli Wu. Dunli Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 248 | |
| 2 | 111 | |
| 3 | Cell-permeable Peptide Antioxidants Targeted to Inner Mitochondrial Membrane inhibit Mitochondrial Swelling, Oxidative Cell Death, and Reperfusion Injurybreakdown → | 649 |
| 4 | 25 | |
| 5 | 59 | |
| 6 | 9 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 48 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 2 |
About Dunli Wu
Dunli Wu is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (8 papers) and Neuroendocrine regulation and behavior (7 papers). The work is most often cited by research in Nephrology (124 citations), Cellular and Molecular Neuroscience (295 citations) and Clinical Biochemistry (104 citations). Dunli Wu has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Hazel H. Szeto, Yi Soong, Guomin Zhao, Peter W. Schiller, Kesheng Zhao, Alex Birk, Shaoyi Liu, Michael T. Ganger, Clara Tow and Zhihong Zhao. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Society of Nephrology and American Journal of Obstetrics and Gynecology.
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.