Max Mu Wang
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Adenosine and Purinergic Signaling
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Leslie M. Tong (2 shared papers)Yadong Huang (2 shared papers)Seo Yeon Yoon (2 shared papers)Xin Wang (1 shared paper)Kaitlyn Ho (1 shared paper)Anna G. Orr (1 shared paper)Bruce R. Conklin (1 shared paper)Lennart Mucke (1 shared paper)
- Journals
- British Journal of Clinical Pharmacology (1 paper)Manufacturing Letters (1 paper)Pharmacological Research (1 paper)Angewandte Chemie International Edition (1 paper)Dermatology and Therapy (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Max Mu Wang
23 papers receiving 605 citations
Peers
Comparison fields: 5 of 91
- Physiology 97
- Developmental Neuroscience 70
- Neurology 142
- Cellular and Molecular Neuroscience 239
- Biological Psychiatry 24
Countries citing papers authored by Max Mu Wang
This map shows the geographic impact of Max Mu Wang'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 Max Mu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Mu Wang more than expected).
Fields of papers citing papers by Max Mu Wang
This network shows the impact of papers produced by Max Mu Wang. 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 Max Mu Wang. The network helps show where Max Mu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Mu Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 233 | |
| 2 | 2014 | 100 | |
| 3 | 2012 | 92 | |
| 4 | 2015 | 25 | |
| 5 | 2007 | 22 | |
| 6 | 2006 | 20 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 15 | |
| 9 | 2006 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2007 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Max Mu Wang
Max Mu Wang is a scholar working on Neurology, Immunology, Ocean Engineering, Dermatology and Physiology, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Drilling and Well Engineering (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Oil and Gas Production Techniques (3 papers), Dermatology and Skin Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Alzheimer's disease research and treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Physiology (97 citations), Developmental Neuroscience (70 citations), Neurology (142 citations), Cellular and Molecular Neuroscience (239 citations) and Biological Psychiatry (24 citations). Max Mu Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Leslie M. Tong, Yadong Huang, Seo Yeon Yoon, Xin Wang, Kaitlyn Ho, Anna G. Orr, Bruce R. Conklin, Lennart Mucke, Daniel H. Kim and Nino Devidze. Their work appears in journals such as British Journal of Clinical Pharmacology, Manufacturing Letters, Pharmacological Research, Angewandte Chemie International Edition and Dermatology and Therapy.
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.