Avner Priel

30 papers receiving 948 citations

Peers

Avner Priel
Comparison fields: 5 of 101
  • Biological Psychiatry 36
  • Physiology 54
  • Cellular and Molecular Neuroscience 201
  • Immunology 218
  • Cell Biology 134
Replace Anatoly B. Kiyatkin with:
Anatoly B. Kiyatkin United States
Susana R. Neves United States
Tomáš Mazel Czechia
Gezhi Weng United States
Lan K. Nguyen United States
Moyez Dharsee Canada
Young Seek Lee South Korea
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Pawel Paszek United Kingdom
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Avner Priel relative to Anatoly B. Kiyatkin United States Anatoly B. Kiyatkin's profile →
Citations per field
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Anatoly B. Kiyatkin · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015389
2 2006115
3 200961
4 200552
5 200840
6 201040
7 201039
8 201430
9 200824
10 200621
11 199419
12 199518
13 200516
14 200915
15 201813
16 200012
17 200611
18 199910
19 20098
20 20206

About Avner Priel

Avner Priel is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology, Statistical and Nonlinear Physics and Biophysics, having authored 31 papers that have together received 972 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (10 papers), Neural dynamics and brain function (8 papers), Microtubule and mitosis dynamics (6 papers), Neural Networks and Applications (5 papers), Complex Systems and Time Series Analysis (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Chaos control and synchronization (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Physiology (54 citations), Cellular and Molecular Neuroscience (201 citations), Immunology (218 citations) and Cell Biology (134 citations). Avner Priel has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include Jack A. Tuszyński, Nancy J. Woolf, Horacio F. Cantiello, Arnolt J. Ramos, Ada Yeste, fan xiao pan, Alexandre S. Basso, Jessica E. Kenison, Leo Edmond Otterbein and Clary B. Clish. Their work appears in journals such as Europhysics Letters (EPL), Journal of Integrative Neuroscience, Nature Medicine, npj Precision Oncology 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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