Rony Paz

4.4k total citations
65 papers, 3.1k citations indexed

About

Rony Paz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Rony Paz has authored 65 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Rony Paz's work include Memory and Neural Mechanisms (33 papers), Neural dynamics and brain function (31 papers) and Neuroscience and Neuropharmacology Research (18 papers). Rony Paz is often cited by papers focused on Memory and Neural Mechanisms (33 papers), Neural dynamics and brain function (31 papers) and Neuroscience and Neuropharmacology Research (18 papers). Rony Paz collaborates with scholars based in Israel, United States and France. Rony Paz's co-authors include Denis Paré, Joseph E. Dunsmoor, Ekaterina Likhtik, Eilon Vaadia, Elizabeth P. Bauer, Joe Guillaume Pelletier, Oded Klavir, Jennifer Resnik, Offir Laufer and Uri Livneh and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Rony Paz

61 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rony Paz Israel 31 2.5k 1.1k 564 559 393 65 3.1k
Melissa R. Warden United States 19 3.0k 1.2× 2.4k 2.1× 529 0.9× 574 1.0× 269 0.7× 30 4.9k
Justin A. Harris Australia 36 3.2k 1.3× 1.5k 1.3× 588 1.0× 634 1.1× 405 1.0× 140 4.7k
Shantanu P. Jadhav United States 22 2.9k 1.2× 2.3k 2.0× 621 1.1× 336 0.6× 135 0.3× 37 3.7k
Itamar Kahn United States 30 5.1k 2.1× 819 0.7× 215 0.4× 439 0.8× 732 1.9× 48 6.0k
Thomas A. Stalnaker United States 26 2.3k 0.9× 1.6k 1.4× 264 0.5× 312 0.6× 304 0.8× 38 3.2k
Chiara M. Portas Norway 23 1.9k 0.8× 1.2k 1.0× 470 0.8× 299 0.5× 697 1.8× 30 3.4k
Philip Tovote Germany 20 2.4k 1.0× 2.2k 1.9× 871 1.5× 912 1.6× 263 0.7× 39 4.0k
Joshua H. Jennings United States 19 1.8k 0.7× 1.9k 1.7× 446 0.8× 640 1.1× 149 0.4× 20 3.4k
Peter H. Rudebeck United States 29 3.7k 1.5× 1.2k 1.0× 422 0.7× 782 1.4× 592 1.5× 53 4.9k
Alain R. Marchand France 27 1.3k 0.5× 1.1k 1.0× 383 0.7× 343 0.6× 111 0.3× 76 2.4k

Countries citing papers authored by Rony Paz

Since Specialization
Citations

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

Fields of papers citing papers by Rony Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rony Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Rony Paz. A scholar is included among the top collaborators of Rony Paz 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 Rony Paz. Rony Paz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aberg, Kristoffer C., Daniel Halpérin, Genela Morris, et al.. (2025). Rate and noise in human amygdala drive increased exploration in aversive learning. Nature. 646(8086). 883–892.
2.
Paz, Rony, et al.. (2025). Integrated Ising model with global inhibition for decision-making. Proceedings of the National Academy of Sciences. 122(36). e2423557122–e2423557122.
3.
4.
Furman‐Haran, Edna, et al.. (2025). Prefrontal inhibitory mechanisms associated with Putamen activity during valence learning revealed by multimodal fMRI-fMRS. Communications Biology. 8(1). 1517–1517.
5.
Halpérin, Daniel, et al.. (2025). Aversive generalization in human amygdala neurons. Current Biology. 35(5). 1137–1144.e3. 4 indexed citations
6.
Aberg, Kristoffer C. & Rony Paz. (2024). The neurobehavioral correlates of exploration without learning: Trading off value for explicit, prospective, and variable information gains. Cell Reports. 43(3). 113880–113880. 2 indexed citations
7.
Aberg, Kristoffer C., et al.. (2022). Irrelevant Threats Linger and Affect Behavior in High Anxiety. Journal of Neuroscience. 43(4). 656–671. 3 indexed citations
8.
Deffains, Marc, Odeya Marmor, Rony Paz, et al.. (2021). Modulation of dopamine tone induces frequency shifts in cortico-basal ganglia beta oscillations. Nature Communications. 12(1). 7026–7026. 52 indexed citations
9.
Aberg, Kristoffer C., et al.. (2021). A neural and behavioral trade-off between value and uncertainty underlies exploratory decisions in normative anxiety. Molecular Psychiatry. 27(3). 1573–1587. 26 indexed citations
10.
Taub, Aryeh H., et al.. (2021). Neurons in the Nonhuman Primate Amygdala and Dorsal Anterior Cingulate Cortex Signal Aversive Memory Formation under Sedation. Anesthesiology. 134(5). 734–747. 1 indexed citations
11.
Taub, Aryeh H., et al.. (2020). Shared yet dissociable neural codes across eye gaze, valence and expectation. Nature. 586(7827). 95–100. 14 indexed citations
12.
Aberg, Kristoffer C., et al.. (2020). Prediction errors bidirectionally bias time perception. Nature Neuroscience. 23(10). 1198–1202. 11 indexed citations
13.
Cohen, Noga, Aya Ben-Yakov, Jochen Weber, et al.. (2019). Prestimulus Activity in the Cingulo-Opercular Network Predicts Memory for Naturalistic Episodic Experience. Cerebral Cortex. 30(3). 1902–1913. 9 indexed citations
14.
Paz, Rony, et al.. (2019). Affective memory rehearsal with temporal sequences in amygdala neurons. Nature Neuroscience. 22(12). 2050–2059. 13 indexed citations
15.
Taub, Aryeh H., et al.. (2018). Long time-scales in primate amygdala neurons support aversive learning. Nature Communications. 9(1). 4460–4460. 9 indexed citations
16.
Laufer, Offir, David Israeli, & Rony Paz. (2016). Behavioral and Neural Mechanisms of Overgeneralization in Anxiety. Current Biology. 26(6). 713–722. 82 indexed citations
17.
Livneh, Uri & Rony Paz. (2012). Aversive-Bias and Stage-Selectivity in Neurons of the Primate Amygdala during Acquisition, Extinction, and Overnight Retention. Journal of Neuroscience. 32(25). 8598–8610. 30 indexed citations
18.
Mandelblat-Cerf, Yael, et al.. (2011). The Neuronal Basis of Long-Term Sensorimotor Learning. Journal of Neuroscience. 31(1). 300–313. 30 indexed citations
19.
Braun, Daniel A., Ad Aertsen, Rony Paz, et al.. (2011). Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control. Frontiers in Computational Neuroscience. 5. 27–27. 2 indexed citations
20.
Mandelblat-Cerf, Yael, Rony Paz, & Eilon Vaadia. (2009). Trial-to-Trial Variability of Single Cells in Motor Cortices Is Dynamically Modified during Visuomotor Adaptation. Journal of Neuroscience. 29(48). 15053–15062. 66 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Melissa R. Warden Breakdown of academic impact, for papers by Justin A. Harris Breakdown of academic impact, for papers by Shantanu P. Jadhav Breakdown of academic impact, for papers by Itamar Kahn Breakdown of academic impact, for papers by Thomas A. Stalnaker Breakdown of academic impact, for papers by Chiara M. Portas Breakdown of academic impact, for papers by Philip Tovote Breakdown of academic impact, for papers by Joshua H. Jennings Breakdown of academic impact, for papers by Peter H. Rudebeck Breakdown of academic impact, for papers by Alain R. Marchand
Rankless by CCL
2026