Matthew Surface
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Long-Term Effects of COVID-19
- Neurological diseases and metabolism
- Neurological disorders and treatments
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- Lysosomal Storage Disorders Research
Papers in
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- Parkinson's Disease Mechanisms and Treatments 7
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- Cellular transport and secretion 4
- Co-authors
- Roy N. Alcalay (12 shared papers)Kalpana Merchant (2 shared papers)Shalini Padmanabhan (2 shared papers)Amanda Chan (3 shared papers)Maximilian T. Strauss (1 shared paper)Özge Karayel (1 shared paper)Matthias Mann (1 shared paper)Sebastian Virreira Winter (1 shared paper)
- Journals
- Movement Disorders (4 papers)npj Parkinson s Disease (3 papers)Journal of Parkinson s Disease (1 paper)EMBO Molecular Medicine (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Matthew Surface
12 papers receiving 328 citations
Peers
Comparison fields: 5 of 69
- Neurology 170
- Physiology 93
- Neurology 29
- Cell Biology 42
- Biological Psychiatry 5
Countries citing papers authored by Matthew Surface
This map shows the geographic impact of Matthew Surface'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 Surface with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Surface more than expected).
Fields of papers citing papers by Matthew Surface
This network shows the impact of papers produced by Matthew Surface. 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 Surface. The network helps show where Matthew Surface may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Surface, 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 | 2021 | 89 | |
| 2 | 2021 | 64 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 29 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 6 |
About Matthew Surface
Matthew Surface is a scholar working on Neurology, Cell Biology, Physiology, Molecular Biology and Epidemiology, having authored 12 papers that have together received 330 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Lysosomal Storage Disorders Research (4 papers), Cellular transport and secretion (4 papers), Autophagy in Disease and Therapy (2 papers), Glycosylation and Glycoproteins Research (1 paper), Enzyme Catalysis and Immobilization (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (170 citations), Physiology (93 citations), Neurology (29 citations), Cell Biology (42 citations) and Biological Psychiatry (5 citations). Matthew Surface has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Roy N. Alcalay, Kalpana Merchant, Shalini Padmanabhan, Amanda Chan, Maximilian T. Strauss, Özge Karayel, Matthias Mann, Sebastian Virreira Winter, Yaqian Xu and Serge Przedborski. Their work appears in journals such as Movement Disorders, npj Parkinson s Disease, Journal of Parkinson s Disease, EMBO Molecular Medicine and International Journal of Molecular Sciences.
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.