Maxwell Wang
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Functional Brain Connectivity Studies 5
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- Advanced Neuroimaging Techniques and Applications 7
- Advanced MRI Techniques and Applications 2
- Co-authors
- Pratik Mukherjee (7 shared papers)Julia P. Owen (7 shared papers)Eva Palacios (5 shared papers)Ashish Raj (1 shared paper)Esther L. Yuh (2 shared papers)Seyedmehdi Payabvash (3 shared papers)Teresa Tavassoli (3 shared papers)Elysa J. Marco (3 shared papers)
- Journals
- Brain Connectivity (2 papers)NeuroImage Clinical (2 papers)Cerebral Cortex (1 paper)Annals of Plastic Surgery (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSaudi Arabia
In The Last Decade
Maxwell Wang
13 papers receiving 318 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 157
- Radiology, Nuclear Medicine and Imaging 168
- Neurology 74
- Health Informatics 6
- Biological Psychiatry 7
Countries citing papers authored by Maxwell Wang
This map shows the geographic impact of Maxwell 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 Maxwell Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Wang more than expected).
Fields of papers citing papers by Maxwell Wang
This network shows the impact of papers produced by Maxwell 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 Maxwell Wang. The network helps show where Maxwell Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxwell 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2017 | 48 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2016 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2013 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 0 |
About Maxwell Wang
Maxwell Wang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Functional Brain Connectivity Studies (5 papers), Fetal and Pediatric Neurological Disorders (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Advanced MRI Techniques and Applications (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Traumatic Brain Injury Research (2 papers) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (157 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Neurology (74 citations), Health Informatics (6 citations) and Biological Psychiatry (7 citations). Maxwell Wang has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Pratik Mukherjee, Julia P. Owen, Eva Palacios, Ashish Raj, Esther L. Yuh, Seyedmehdi Payabvash, Teresa Tavassoli, Elysa J. Marco, Harvey S. Levin and Christine L. MacDonald. Their work appears in journals such as Brain Connectivity, NeuroImage Clinical, Cerebral Cortex, Annals of Plastic Surgery and PLoS Computational Biology.
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.