G. G. Skibo
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Developmental Neuroscience top 0.5%
- Neurology top 1%
- Physiology top 10%
- Co-authors
- Dominique MüllerIrina NikonenkoIryna LushnikovaAlexander G. NikonenkoJozsef Z. KissViviane CalaoraNicolas ToniHarold Cremer
- Topics
- Neuroscience and Neuropharmacology Research (41 papers)Neurogenesis and neuroplasticity mechanisms (17 papers)Neuroinflammation and Neurodegeneration Mechanisms (15 papers)
In The Last Decade
G. G. Skibo
90 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 899
- Developmental Neuroscience 615
- Neurology 531
- Physiology 300
Countries citing papers authored by G. G. Skibo
This map shows the geographic impact of G. G. Skibo'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 G. G. Skibo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. G. Skibo more than expected).
Fields of papers citing papers by G. G. Skibo
This network shows the impact of papers produced by G. G. Skibo. 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 G. G. Skibo. The network helps show where G. G. Skibo may publish in the future.
Co-authorship network of co-authors of G. G. Skibo
This figure shows the co-authorship network connecting the top 25 collaborators of G. G. Skibo. A scholar is included among the top collaborators of G. G. Skibo 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 G. G. Skibo. G. G. Skibo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | 69 | |
| 8 | 32 | |
| 9 | 117 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 112 | |
| 13 | 111 | |
| 14 | Remodeling of ammon's horn during the first two weeks of experimental diabetes development. | 1 |
| 15 | Myelination and demyelination processes in the rat cerebellum cell culture: an electron microscopic study. | 2 |
| 16 | 135 | |
| 17 | 25 | |
| 18 | PSA–NCAM Is Required for Activity-Induced Synaptic Plasticitybreakdown → | 512 |
| 19 | 7 | |
| 20 | 3 |
About G. G. Skibo
G. G. Skibo is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (15 papers). The work is most often cited by research in Developmental Neuroscience (615 citations), Neurology (531 citations) and Cellular and Molecular Neuroscience (1.1k citations). G. G. Skibo has collaborated with scholars based in Ukraine, Sweden and Poland. Frequent co-authors include Dominique Müller, Irina Nikonenko, Iryna Lushnikova, Alexander G. Nikonenko, Jozsef Z. Kiss, Viviane Calaora, Nicolas Toni, Harold Cremer, Geneviève Rougon and Valentina Savchenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.