Julia Schaeffer
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- MicroRNA in disease regulation
Papers in
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- RNA Research and Splicing 3
- Signaling Pathways in Disease 2
- RNA and protein synthesis mechanisms 2
- Extracellular vesicles in disease 2
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- Nerve injury and regeneration 9
- Axon Guidance and Neuronal Signaling 6
- Co-authors
- Stefano Pluchino (4 shared papers)Chiara Cossetti (4 shared papers)Tommaso Leonardi (2 shared papers)Emanuele Alpi (2 shared papers)Harpreet K. Saini (2 shared papers)Congjian Zhao (2 shared papers)Angela Bachi (2 shared papers)José Manuel García‐Verdugo (2 shared papers)
- Journals
- Molecular Cell (2 papers)Journal of Visualized Experiments (2 papers)Frontiers in Molecular Neuroscience (1 paper)eLife (1 paper)PLoS Biology (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Julia Schaeffer
16 papers receiving 469 citations
Peers
Comparison fields: 5 of 66
- Developmental Neuroscience 79
- Cancer Research 137
- Neurology 49
- Molecular Biology 380
- Cellular and Molecular Neuroscience 97
Countries citing papers authored by Julia Schaeffer
This map shows the geographic impact of Julia Schaeffer'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 Julia Schaeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Schaeffer more than expected).
Fields of papers citing papers by Julia Schaeffer
This network shows the impact of papers produced by Julia Schaeffer. 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 Julia Schaeffer. The network helps show where Julia Schaeffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Schaeffer, 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 | 2014 | 240 | |
| 2 | 2019 | 114 | |
| 3 | 2018 | 20 | |
| 4 | 2014 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 0 |
About Julia Schaeffer
Julia Schaeffer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Genetics and Cell Biology, having authored 17 papers that have together received 478 indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Axon Guidance and Neuronal Signaling (6 papers), RNA Research and Splicing (3 papers), Signaling Pathways in Disease (2 papers), Mesenchymal stem cell research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Developmental Neuroscience (79 citations), Cancer Research (137 citations), Neurology (49 citations), Molecular Biology (380 citations) and Cellular and Molecular Neuroscience (97 citations). Julia Schaeffer has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Stefano Pluchino, Chiara Cossetti, Tommaso Leonardi, Emanuele Alpi, Harpreet K. Saini, Congjian Zhao, Angela Bachi, José Manuel García‐Verdugo, Clara Alfaro‐Cervelló and Nunzio Iraci. Their work appears in journals such as Molecular Cell, Journal of Visualized Experiments, Frontiers in Molecular Neuroscience, eLife and PLoS Biology.
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.