Julia Dawitz
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Neuroscience and Neural Engineering 3
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- Neural dynamics and brain function 4
- Autism Spectrum Disorder Research 2
- Co-authors
- Rhiannon M. Meredith (8 shared papers)Ioannis Kramvis (2 shared papers)Tim Kroon (6 shared papers)J. J. Johannes Hjorth (4 shared papers)Giorgio La Fata (1 shared paper)Rogier B. Poorthuis (1 shared paper)Uwe Himmelreich (1 shared paper)Claudia Bagni (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Frontiers in Cellular Neuroscience (2 papers)Nature Neuroscience (1 paper)The Journal of Cell Biology (1 paper)Trends in Neurosciences (1 paper)
- Partner nations
- NetherlandsGermanyBangladesh
In The Last Decade
Julia Dawitz
9 papers receiving 307 citations
Peers
Comparison fields: 5 of 54
- Developmental Neuroscience 55
- Cognitive Neuroscience 109
- Cellular and Molecular Neuroscience 102
- Genetics 109
- Molecular Biology 151
Countries citing papers authored by Julia Dawitz
This map shows the geographic impact of Julia Dawitz'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 Dawitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Dawitz more than expected).
Fields of papers citing papers by Julia Dawitz
This network shows the impact of papers produced by Julia Dawitz. 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 Dawitz. The network helps show where Julia Dawitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Dawitz, 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 | 113 | |
| 2 | 2012 | 84 | |
| 3 | 2015 | 31 | |
| 4 | 2011 | 26 | |
| 5 | 2025 | 18 | |
| 6 | 2019 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2011 | 8 | |
| 9 | 2020 | 5 | |
| 10 | 2025 | 0 |
About Julia Dawitz
Julia Dawitz is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics, Developmental Neuroscience and Computer Science Applications, having authored 10 papers that have together received 310 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Autism Spectrum Disorder Research (2 papers), E-Learning and Knowledge Management (1 paper), Online Learning and Analytics (1 paper) and Educational Innovations and Technology (1 paper). The work is most often cited by research in Developmental Neuroscience (55 citations), Cognitive Neuroscience (109 citations), Cellular and Molecular Neuroscience (102 citations), Genetics (109 citations) and Molecular Biology (151 citations). Julia Dawitz has collaborated with scholars based in Netherlands, Germany and Bangladesh. Frequent co-authors include Rhiannon M. Meredith, Ioannis Kramvis, Tim Kroon, J. J. Johannes Hjorth, Giorgio La Fata, Rogier B. Poorthuis, Uwe Himmelreich, Claudia Bagni, Tilmann Achsel and Nuria Domıńguez-Iturza. Their work appears in journals such as Journal of Visualized Experiments, Frontiers in Cellular Neuroscience, Nature Neuroscience, The Journal of Cell Biology and Trends in Neurosciences.
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.