Gregor-Alexander Pilz
- Molecular Biology top 10%
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Cancer Research top 10%
- Cell Biology top 10%
- Co-authors
- Sebastian JessbergerMagdalena GötzDarcie L. MooreFritjof HelmchenStefano CartaJovica NinkovicBenjamin D. SimonsDavid J. Jörg
- Topics
- Neurogenesis and neuroplasticity mechanisms (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Pluripotent Stem Cells Research (3 papers)
- Journals
- ScienceCellNature Communications
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Gregor-Alexander Pilz
18 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 949
- Developmental Neuroscience 697
- Cellular and Molecular Neuroscience 337
- Cancer Research 215
- Cell Biology 182
Countries citing papers authored by Gregor-Alexander Pilz
This map shows the geographic impact of Gregor-Alexander Pilz'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 Gregor-Alexander Pilz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor-Alexander Pilz more than expected).
Fields of papers citing papers by Gregor-Alexander Pilz
This network shows the impact of papers produced by Gregor-Alexander Pilz. 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 Gregor-Alexander Pilz. The network helps show where Gregor-Alexander Pilz may publish in the future.
Co-authorship network of co-authors of Gregor-Alexander Pilz
This figure shows the co-authorship network connecting the top 25 collaborators of Gregor-Alexander Pilz. A scholar is included among the top collaborators of Gregor-Alexander Pilz 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 Gregor-Alexander Pilz. Gregor-Alexander Pilz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 36 | |
| 3 | 81 | |
| 4 | 231 | |
| 5 | 237 | |
| 6 | 28 | |
| 7 | 67 | |
| 8 | 37 | |
| 9 | 122 | |
| 10 | 72 | |
| 11 | 196 | |
| 12 | 155 | |
| 13 | 84 | |
| 14 | 43 | |
| 15 | 1 | |
| 16 | 87 | |
| 17 | 74 | |
| 18 | 2 |
About Gregor-Alexander Pilz
Gregor-Alexander Pilz is a scholar working on Developmental Neuroscience, Neurology and Genetics, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Developmental Neuroscience (697 citations), Neurology (180 citations) and Aging (36 citations). Gregor-Alexander Pilz has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Sebastian Jessberger, Magdalena Götz, Darcie L. Moore, Fritjof Helmchen, Stefano Carta, Jovica Ninkovic, Benjamin D. Simons, David J. Jörg, Vı́ctor Borrell and Marion Betizeau. Their work appears in journals such as Science, Cell and Nature Communications.
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.