Julia Dawitz

412 citations
9 papers · 284 · h-index 8

Impact in

Papers in

Julia Dawitz

9 papers receiving 283 citations

Peers

Julia Dawitz
Comparison fields: 5 of 51
  • Developmental Neuroscience 52
  • Cognitive Neuroscience 105
  • Cellular and Molecular Neuroscience 98
  • Genetics 107
  • Molecular Biology 140
Replace Kacey E. Rajkovich with:
Kacey E. Rajkovich United States
Danilo Bernardo United States
Rinaldo Catta-Preta United States
Nuria Domıńguez-Iturza Belgium
Jon-Ruben van Rhijn Netherlands
Ilaria Chiaradia United Kingdom
Elia Magrinelli Switzerland
Adam D. Jackson United Kingdom
Teun M. Klein Gunnewiek Netherlands
Julia Dawitz relative to Kacey E. Rajkovich United States Kacey E. Rajkovich's profile →
Citations per field
00.5×3.5×
Kacey E. Rajkovich · 1×
Citations per year

Countries citing papers authored by Julia Dawitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1 2014107
2 201279
3 201530
4 201125
5 201511
6 201911
7 20118
8 20258
9 20205

About Julia Dawitz

Julia Dawitz is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics, Molecular Biology and Information Systems, having authored 9 papers that have together received 284 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), interferon and immune responses (1 paper), Memory and Neural Mechanisms (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (52 citations), Cognitive Neuroscience (105 citations), Cellular and Molecular Neuroscience (98 citations), Genetics (107 citations) and Molecular Biology (140 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, Tilmann Achsel, Annette Gärtner, Uwe Himmelreich, Giorgio La Fata, Nuria Domıńguez-Iturza and Rogier B. Poorthuis. Their work appears in journals such as Frontiers in Cellular Neuroscience, Journal of Visualized Experiments, Nature Neuroscience, Trends in Neurosciences and Developmental Neurobiology.

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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