Julia Veit

1.7k citations
17 papers · 1.1k · h-index 12

Impact in

Papers in

    • Neural dynamics and brain function 11
    • Functional Brain Connectivity Studies 2
    • Visual perception and processing mechanisms 2
    • Sleep and Wakefulness Research 1
    • Neuroscience and Neuropharmacology Research 6
    • Photoreceptor and optogenetics research 6
    • Neuroscience and Neural Engineering 3
    • Neurobiology and Insect Physiology Research 2

Julia Veit

16 papers receiving 1.1k citations

Peers

Julia Veit
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 548
  • Cognitive Neuroscience 463
  • Molecular Biology 508
  • Sensory Systems 25
  • Developmental Neuroscience 15
Replace Harumi Harada with:
Harumi Harada Japan
Ziv Gil Israel
Hanno S. Meyer Germany
Tobias Rose Germany
Gregg W. Crabtree United States
Kohtaro Kamino Japan
Namita Ravi United States
Petr Znamenskiy United States
Margaret Lin Veruki Norway
Joon‐Yong An South Korea
Julia Veit relative to Harumi Harada Japan Harumi Harada's profile →
Citations per field
00.5×1.5×2.5×
Harumi Harada · 1×
Citations per year

Countries citing papers authored by Julia Veit

Since Specialization
Citations

This map shows the geographic impact of Julia Veit'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 Veit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Veit more than expected).

Fields of papers citing papers by Julia Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Veit. 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 Veit. The network helps show where Julia Veit may publish in the future.

Co-authors

The 25 scholars most cited alongside Julia Veit, 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 Veit Line = papers co-authored together Julia Veit links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2011319
2 2017251
3 2019112
4 201983
5 201579
6 201564
7 201340
8 202235
9 201325
10 201124
11 201220
12 201218
13 201711
14
[About mechanisms of sleep-extending effect of various drugs].
19684
15 20092
16 20051
17 20260

About Julia Veit

Julia Veit is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Surgery and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (6 papers), Neuroscience and Neural Engineering (3 papers), Neurobiology and Insect Physiology Research (2 papers), Functional Brain Connectivity Studies (2 papers), Visual perception and processing mechanisms (2 papers) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (548 citations), Cognitive Neuroscience (463 citations), Molecular Biology (508 citations), Sensory Systems (25 citations) and Developmental Neuroscience (15 citations). Julia Veit has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Gregor Rainer, Hillel Adesnik, Anna Jaźwińska, Richard Hakim, Monika P. Jadi, Terrence J. Sejnowski, Robert Kretz, Alexander Naka, Daniel P. Mossing and Benjamin Sivyer. Their work appears in journals such as Neuron, Nature Neuroscience, Nature Communications, Cerebral Cortex and Brain Structure and Function.

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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