Agnė Vaičeliūnaitė

468 citations
5 papers · 270 indexed · h-index 5
Topics
Neural dynamics and brain function (3 papers)Neuroscience and Neuropharmacology Research (3 papers)Visual perception and processing mechanisms (2 papers)
Partner nations
LithuaniaGermanyItaly

In The Last Decade

Agnė Vaičeliūnaitė

5 papers receiving 270 citations

Peers

Agnė Vaičeliūnaitė
Comparison fields: 5 of 38
  • Cognitive Neuroscience 236
  • Cellular and Molecular Neuroscience 164
  • Molecular Biology 45
  • Sensory Systems 27
  • Radiology, Nuclear Medicine and Imaging 18
Replace Chuansen Wang with:
Chuansen Wang Australia
Soon Keen Cheong Australia
ANTONIA CINIRA M. DIOGO Brazil
Joseph B. Wekselblatt United States
Lauren E. Wool United States
Carlyn A. Patterson United States
Daisuke Shimaoka Japan
Alexandra Gribizis United States
Hisashi Tanigawa China
Daniel J. Denman United States
Agnė Vaičeliūnaitė relative to Chuansen Wang Australia Chuansen Wang's profile →
Citations per field
00.5×4.3×
Chuansen Wang · 1×
Citations per year

Countries citing papers authored by Agnė Vaičeliūnaitė

Since Specialization
Citations

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

Fields of papers citing papers by Agnė Vaičeliūnaitė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnė Vaičeliūnaitė

This figure shows the co-authorship network connecting the top 25 collaborators of Agnė Vaičeliūnaitė. A scholar is included among the top collaborators of Agnė Vaičeliūnaitė based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Agnė Vaičeliūnaitė. Agnė Vaičeliūnaitė is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 29
2 155
3 69
4 7
5 10

About Agnė Vaičeliūnaitė

Agnė Vaičeliūnaitė is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 5 papers that have together received 270 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (236 citations), Cellular and Molecular Neuroscience (164 citations) and Sensory Systems (27 citations). Agnė Vaičeliūnaitė has collaborated with scholars based in Lithuania, Germany and Italy. Frequent co-authors include Laura Busse, Steffen Katzner, Ovidiu F. Jurjuţ, Chu Lan Lao, Martin A. Spacek, Gaute T. Einevoll, Osvaldas Rukšėnas and Mikas Vengris. Their work appears in journals such as Nature Neuroscience, Current Biology and Journal of Neurophysiology.

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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