Matthew Wang
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
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- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
Papers in
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- Interactive and Immersive Displays 2
- Co-authors
- Gary E. Siuzdak (1 shared paper)Stacey K. Moreno (1 shared paper)David Fallon Friedlander (1 shared paper)Óscar Yanes (1 shared paper)Min Zhan (1 shared paper)Edith Aguilar (1 shared paper)Glen R. Nemerow (1 shared paper)Valentina Marchetti (1 shared paper)
- Journals
- Scientific Reports (2 papers)The Journal of Chemical Physics (2 papers)Attention Perception & Psychophysics (1 paper)Biochemistry (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Matthew Wang
27 papers receiving 340 citations
Peers
Comparison fields: 5 of 110
- Neurology 23
- Cardiology and Cardiovascular Medicine 57
- Family Practice 4
- Ophthalmology 17
- Internal Medicine 6
Countries citing papers authored by Matthew Wang
This map shows the geographic impact of Matthew 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 Matthew Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Wang more than expected).
Fields of papers citing papers by Matthew Wang
This network shows the impact of papers produced by Matthew 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 Matthew Wang. The network helps show where Matthew Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 84 | |
| 2 | 2022 | 69 | |
| 3 | 2022 | 53 | |
| 4 | 2019 | 14 | |
| 5 | 2015 | 14 | |
| 6 | 2022 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2011 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2020 | 6 | |
| 15 | Assessment of complications following urinary diversion for benign indications. | 2019 | 5 |
| 16 | 2024 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 3 |
About Matthew Wang
Matthew Wang is a scholar working on Human-Computer Interaction, Rehabilitation, Cell Biology, Statistics, Probability and Uncertainty and Neurology, having authored 32 papers that have together received 351 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cellular Mechanics and Interactions (2 papers), Advanced Chemical Physics Studies (2 papers), Interactive and Immersive Displays (2 papers), Tactile and Sensory Interactions (2 papers), Risk and Safety Analysis (2 papers), Psychology of Moral and Emotional Judgment (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Neurology (23 citations), Cardiology and Cardiovascular Medicine (57 citations), Family Practice (4 citations), Ophthalmology (17 citations) and Internal Medicine (6 citations). Matthew Wang has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Gary E. Siuzdak, Stacey K. Moreno, David Fallon Friedlander, Óscar Yanes, Min Zhan, Edith Aguilar, Glen R. Nemerow, Valentina Marchetti, Samia N. Naccache and Martin Friedlander. Their work appears in journals such as Scientific Reports, The Journal of Chemical Physics, Attention Perception & Psychophysics, Biochemistry and Journal of Visualized Experiments.
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.