Gaia Skibinski

15 papers and 2.5k indexed citations i.

About

Gaia Skibinski is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gaia Skibinski has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gaia Skibinski’s work include Parkinson's Disease Mechanisms and Treatments (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Alzheimer's disease research and treatments (4 papers). Gaia Skibinski is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Alzheimer's disease research and treatments (4 papers). Gaia Skibinski collaborates with scholars based in United States, United Kingdom and Denmark. Gaia Skibinski's co-authors include Steven Finkbeiner, Sami J. Barmada, Jane Y. Wu, Erica Korb, Elizabeth Fisher, Nick Parkinson, John Collinge, Ken Nakamura, Anders Gade and D. Michael Ando and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Gaia Skibinski i

Fields of papers citing papers by Gaia Skibinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Gaia Skibinski

Since Specialization
Citations

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).

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.

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