S. Gonçalves
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neurological diseases and metabolism
-
- Nuclear Receptors and Signaling
- Genetic Neurodegenerative Diseases
- Nerve injury and regeneration
Papers in
-
- Protein Structure and Dynamics 4
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 10
- Co-authors
- Tiago F. Outeiro (12 shared papers)Flaviano Giorgini (3 shared papers)Sandra Tenreiro (2 shared papers)Pedro M. Matias (8 shared papers)Federico Herrera (2 shared papers)Lisa Zondler (1 shared paper)Marta Pera (1 shared paper)Alberto Lleó (1 shared paper)
- Journals
- Molecular Neurobiology (2 papers)Biochemistry (2 papers)PLoS ONE (2 papers)Planta Medica (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- PortugalGermanyUnited States
In The Last Decade
S. Gonçalves
24 papers receiving 810 citations
Peers
Comparison fields: 5 of 89
- Neurology 424
- Neurology 96
- Cellular and Molecular Neuroscience 199
- Physiology 283
- Cell Biology 114
Countries citing papers authored by S. Gonçalves
This map shows the geographic impact of S. Gonçalves'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 S. Gonçalves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Gonçalves more than expected).
Fields of papers citing papers by S. Gonçalves
This network shows the impact of papers produced by S. Gonçalves. 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 S. Gonçalves. The network helps show where S. Gonçalves may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Gonçalves, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2011 | 117 | |
| 3 | 2014 | 73 | |
| 4 | 2013 | 67 | |
| 5 | 2016 | 63 | |
| 6 | 2021 | 59 | |
| 7 | 2011 | 52 | |
| 8 | 2008 | 40 | |
| 9 | 2010 | 31 | |
| 10 | 2013 | 31 | |
| 11 | 2012 | 31 | |
| 12 | 2008 | 23 | |
| 13 | 2019 | 21 | |
| 14 | 2014 | 14 | |
| 15 | 2010 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2012 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2009 | 5 |
About S. Gonçalves
S. Gonçalves is a scholar working on Molecular Biology, Neurology, Physiology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 815 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Enzyme Structure and Function (8 papers), Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (4 papers), Genetic Neurodegenerative Diseases (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Enzyme Production and Characterization (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Neurology (424 citations), Neurology (96 citations), Cellular and Molecular Neuroscience (199 citations), Physiology (283 citations) and Cell Biology (114 citations). S. Gonçalves has collaborated with scholars based in Portugal, Germany and United States. Frequent co-authors include Tiago F. Outeiro, Flaviano Giorgini, Sandra Tenreiro, Pedro M. Matias, Federico Herrera, Lisa Zondler, Marta Pera, Alberto Lleó, Leonor Miller‐Fleming and Duarte C. Barral. Their work appears in journals such as Molecular Neurobiology, Biochemistry, PLoS ONE, Planta Medica and Human Molecular Genetics.
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.