Simon Hippenmeyer
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 25
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- Axon Guidance and Neuronal Signaling 10
- Neuroscience and Neuropharmacology Research 10
- Neurology top 2%
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 17
- Pluripotent Stem Cells Research 12
- Epigenetics and DNA Methylation 10
- RNA Research and Splicing 9
- Cell Biology top 2%
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- Genetic Syndromes and Imprinting 8
- Co-authors
- Liqun LuoSilvia ArberDavid R. LadleHui ZongThomas PortmannEline Pecho‐VrieselingMarkus W. SigristRobert Beattie
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Simon Hippenmeyer
64 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Developmental Neuroscience 1.1k
- Cellular and Molecular Neuroscience 1.3k
- Neurology 337
- Molecular Biology 2.6k
- Cell Biology 609
Countries citing papers authored by Simon Hippenmeyer
This map shows the geographic impact of Simon Hippenmeyer'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 Simon Hippenmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Hippenmeyer more than expected).
Fields of papers citing papers by Simon Hippenmeyer
This network shows the impact of papers produced by Simon Hippenmeyer. 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 Simon Hippenmeyer. The network helps show where Simon Hippenmeyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon Hippenmeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 31 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 32 | |
| 11 | 2021 | 36 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 226 | |
| 14 | 2019 | 11 | |
| 15 | 2014 | 306 | |
| 16 | 2013 | 87 | |
| 17 | 2011 | 180 | |
| 18 | Mosaic Analysis with Double Markers Reveals Tumor Cell of Origin in Gliomabreakdown → | 2011 | 501 |
| 19 | 2007 | 52 | |
| 20 | 2002 | 125 |
About Simon Hippenmeyer
Simon Hippenmeyer is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Aging and Biophysics, having authored 66 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (25 papers), Single-cell and spatial transcriptomics (17 papers), Pluripotent Stem Cells Research (12 papers), Axon Guidance and Neuronal Signaling (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Epigenetics and DNA Methylation (10 papers), RNA Research and Splicing (9 papers) and Genetic Syndromes and Imprinting (8 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (1.3k citations), Neurology (337 citations), Molecular Biology (2.6k citations) and Cell Biology (609 citations). Simon Hippenmeyer has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Liqun Luo, Silvia Arber, David R. Ladle, Hui Zong, Thomas Portmann, Eline Pecho‐Vrieseling, Markus W. Sigrist, Robert Beattie, Carmen Streicher and Nicole Amberg. Their work appears in journals such as Neuron, eLife, Cell Reports, 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.