Gaia Skibinski
- Neurology top 0.5%
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Co-authors
- Steven FinkbeinerJane Y. WuSami J. BarmadaErica KorbElizabeth FisherJohn CollingeNick ParkinsonKen Nakamura
- Topics
- Parkinson's Disease Mechanisms and Treatments (7 papers)Alzheimer's disease research and treatments (4 papers)Genetic Neurodegenerative Diseases (4 papers)
- Cited by
- NeurologyBiophysics
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Gaia Skibinski
15 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Neurology 1.4k
- Molecular Biology 1.1k
- Physiology 644
- Cellular and Molecular Neuroscience 401
- Genetics 346
Countries citing papers authored by Gaia Skibinski
This map shows the geographic impact of Gaia Skibinski'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 Gaia Skibinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Skibinski more than expected).
Fields of papers citing papers by Gaia Skibinski
This network shows the impact of papers produced by Gaia Skibinski. 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 Gaia Skibinski. The network helps show where Gaia Skibinski may publish in the future.
Co-authorship network of co-authors of Gaia Skibinski
This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Skibinski. A scholar is included among the top collaborators of Gaia Skibinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaia Skibinski. Gaia Skibinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Imagesbreakdown → | 394 |
| 4 | 27 | |
| 5 | 99 | |
| 6 | 6 | |
| 7 | 106 | |
| 8 | 14 | |
| 9 | Direct Membrane Association Drives Mitochondrial Fission by the Parkinson Disease-associated Protein α-Synucleinbreakdown → | 484 |
| 10 | 407 | |
| 11 | 309 | |
| 12 | Mutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementiabreakdown → | 605 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 94 |
About Gaia Skibinski
Gaia Skibinski is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 15 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Neurology (1.4k citations), Biophysics (283 citations) and Neurology (336 citations). Gaia Skibinski has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Steven Finkbeiner, Jane Y. Wu, Sami J. Barmada, Erica Korb, Elizabeth Fisher, John Collinge, Nick Parkinson, Ken Nakamura, D. Michael Ando and Susanne Gydesen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.