Max 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
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- Biosimilars and Bioanalytical Methods 3
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Seo Yeon Yoon (2 shared papers)Leslie M. Tong (2 shared papers)Yadong Huang (2 shared papers)Donald L. Whitfill (4 shared papers)Dale E. Jamison (4 shared papers)Anthony Adame (1 shared paper)Xin Wang (1 shared paper)Weikun Guo (1 shared paper)
- Journals
- Cancer Research (4 papers)Journal of Clinical Oncology (3 papers)Circulation (2 papers)Pharmacological Research (1 paper)Manufacturing Letters (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Max Wang
35 papers receiving 605 citations
Peers
Comparison fields: 5 of 89
- Physiology 89
- Developmental Neuroscience 65
- Neurology 132
- Cellular and Molecular Neuroscience 232
- Biological Psychiatry 23
Countries citing papers authored by Max Wang
This map shows the geographic impact of Max 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 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 Wang more than expected).
Fields of papers citing papers by Max Wang
This network shows the impact of papers produced by Max 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 Wang. The network helps show where Max Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Max 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 213 | |
| 2 | 2014 | 92 | |
| 3 | 2012 | 89 | |
| 4 | 2015 | 24 | |
| 5 | 2007 | 21 | |
| 6 | 2006 | 20 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2006 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2007 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2019 | 4 |
About Max Wang
Max Wang is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Physiology, having authored 37 papers that have together received 614 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Biosimilars and Bioanalytical Methods (3 papers), Drilling and Well Engineering (3 papers), Oil and Gas Production Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer Research and Treatments (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Physiology (89 citations), Developmental Neuroscience (65 citations), Neurology (132 citations), Cellular and Molecular Neuroscience (232 citations) and Biological Psychiatry (23 citations). Max Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Seo Yeon Yoon, Leslie M. Tong, Yadong Huang, Donald L. Whitfill, Dale E. Jamison, Anthony Adame, Xin Wang, Weikun Guo, Anna G. Orr and Edward C. Hsiao. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Circulation, Pharmacological Research and Manufacturing Letters.
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.