Julia Schaeffer

775 citations
20 papers · 527 · h-index 9

Impact in

Papers in

    • Extracellular vesicles in disease 3
    • RNA Research and Splicing 3
    • Pluripotent Stem Cells Research 2
    • Signaling Pathways in Disease 2
    • RNA Interference and Gene Delivery 2
    • Nerve injury and regeneration 9
    • Axon Guidance and Neuronal Signaling 6

Julia Schaeffer

19 papers receiving 519 citations

Peers

Julia Schaeffer
Comparison fields: 5 of 71
  • Developmental Neuroscience 83
  • Cancer Research 135
  • Neurology 49
  • Cellular and Molecular Neuroscience 105
  • Molecular Biology 388
Replace Daniel Haag with:
Daniel Haag Germany
Elena Parmigiani Italy
Arianna Baggiolini Switzerland
Parvez Vora Canada
Daisuke Yasutomi Japan
Beng-Ti Ang Singapore
Miriam Ratliff Germany
Thomas Palm Germany
Romane Auvergne United States
Lise Morizur France
Julia Schaeffer relative to Daniel Haag Germany Daniel Haag's profile →
Citations per field
00.5×3.1×
Daniel Haag · 1×
Citations per year

Countries citing papers authored by Julia Schaeffer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Julia Schaeffer Line = papers co-authored together Julia Schaeffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2014250
2 2019118
3 201820
4 201418
5 201417
6 202016
7 202315
8 202214
9 202311
10 20248
11 20227
12 20217
13 20146
14 20235
15 20254
16 20204
17 20144
18 20222
19 20141
20 20240

About Julia Schaeffer

Julia Schaeffer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Genetics and Cell Biology, having authored 20 papers that have together received 527 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), Extracellular vesicles in disease (3 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (2 papers), Signaling Pathways in Disease (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Developmental Neuroscience (83 citations), Cancer Research (135 citations), Neurology (49 citations), Cellular and Molecular Neuroscience (105 citations) and Molecular Biology (388 citations). Julia Schaeffer has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Stefano Pluchino, Chiara Cossetti, Matthew P. Davis, Anton J. Enright, Clara Alfaro‐Cervelló, Denise Drago, Harpreet K. Saini, Beatriz Vega, Suresh Mathivanan and Nunzio Iraci. Their work appears in journals such as Journal of Visualized Experiments, Molecular Cell, Developmental Biology, PLoS Biology and Frontiers in Cell and Developmental 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.

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