Avner Priel

24 papers receiving 817 citations

Peers

Avner Priel
Comparison fields: 5 of 102
  • Biological Psychiatry 37
  • Physiology 53
  • Immunology 206
  • Cellular and Molecular Neuroscience 176
  • Cell Biology 117
Replace Ulrike Winkler with:
Ulrike Winkler Germany
Alberto Ambesi‐Impiombato United States
Young Seek Lee South Korea
Guanghua Xiao United States
Giovanni Diana Italy
Lan K. Nguyen United States
Susana R. Neves United States
Kevin Thurley Germany
Gezhi Weng United States
Alexandre Kuhn Switzerland
Avner Priel relative to Ulrike Winkler Germany Ulrike Winkler's profile →
Citations per field
00.5×2.7×
Ulrike Winkler · 1×
Citations per year

Countries citing papers authored by Avner Priel

Since Specialization
Citations

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

Fields of papers citing papers by Avner Priel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015342
2 2006103
3 200958
4 200547
5 201039
6 201038
7 200837
8 201428
9 200822
10 199419
11 199516
12 200514
13 200914
14 201813
15 200010
16 19999
17 20206
18 20225
19 20035
20 19984

About Avner Priel

Avner Priel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 24 papers that have together received 837 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (7 papers), Neural dynamics and brain function (7 papers), Neural Networks and Applications (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Microtubule and mitosis dynamics (3 papers), Complex Systems and Time Series Analysis (3 papers), Chaos control and synchronization (3 papers) and Nanopore and Nanochannel Transport Studies (2 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Physiology (53 citations), Immunology (206 citations), Cellular and Molecular Neuroscience (176 citations) and Cell Biology (117 citations). Avner Priel has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Jack A. Tuszyński, Nancy J. Woolf, Horacio F. Cantiello, Arnolt J. Ramos, Francisco J. Quintana, Ada Yeste, Clary B. Clish, Maisa C. Takenaka, Fan Pan and Simon C. Robson. Their work appears in journals such as Journal of Integrative Neuroscience, Europhysics Letters (EPL), Scientific Reports, Nature Medicine and Cellular and Molecular 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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