Yaara Yeshurun

4.5k total citations · 2 hit papers
53 papers, 2.5k citations indexed

About

Yaara Yeshurun is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yaara Yeshurun has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 12 papers in Social Psychology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yaara Yeshurun's work include Neural dynamics and brain function (10 papers), Action Observation and Synchronization (9 papers) and Functional Brain Connectivity Studies (7 papers). Yaara Yeshurun is often cited by papers focused on Neural dynamics and brain function (10 papers), Action Observation and Synchronization (9 papers) and Functional Brain Connectivity Studies (7 papers). Yaara Yeshurun collaborates with scholars based in Israel, United States and Italy. Yaara Yeshurun's co-authors include Uri Hasson, Noam Sobel, Mai Nguyen, Janice Chen, Erez Simony, Christopher J. Honey, D. Reisfeld, Nira Dyn, Ami Wiesel and Olga Lositsky and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yaara Yeshurun

49 papers receiving 2.4k citations

Hit Papers

Dynamic reconfiguration of the default mode network durin... 2016 2026 2019 2022 2016 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaara Yeshurun Israel 22 1.4k 509 478 371 261 53 2.5k
Richard Höchenberger Germany 12 2.0k 1.4× 840 1.7× 290 0.6× 497 1.3× 105 0.4× 18 3.1k
Hiroki C. Tanabe Japan 27 1.9k 1.4× 456 0.9× 202 0.4× 653 1.8× 88 0.3× 81 3.2k
Olivier Koenig France 18 1.7k 1.2× 742 1.5× 400 0.8× 318 0.9× 111 0.4× 45 2.5k
Jens‐Max Hopf Germany 31 3.2k 2.3× 521 1.0× 205 0.4× 217 0.6× 184 0.7× 89 3.8k
H.–J. Heinze Germany 32 4.2k 3.0× 799 1.6× 244 0.5× 321 0.9× 114 0.4× 69 5.1k
Wolfgang Skrandies Germany 25 3.1k 2.2× 635 1.2× 214 0.4× 258 0.7× 63 0.2× 87 3.8k
Dara G. Ghahremani United States 32 3.5k 2.5× 947 1.9× 455 1.0× 451 1.2× 124 0.5× 77 5.2k
Raymond van Ee Netherlands 42 3.8k 2.7× 1.0k 2.0× 362 0.8× 712 1.9× 342 1.3× 144 5.0k
Tony Ro United States 40 4.3k 3.1× 1.0k 2.0× 291 0.6× 450 1.2× 165 0.6× 98 5.0k
H. Steven Scholte Netherlands 38 3.9k 2.8× 1.2k 2.3× 486 1.0× 583 1.6× 332 1.3× 117 5.0k

Countries citing papers authored by Yaara Yeshurun

Since Specialization
Citations

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

Fields of papers citing papers by Yaara Yeshurun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaara Yeshurun

This figure shows the co-authorship network connecting the top 25 collaborators of Yaara Yeshurun. A scholar is included among the top collaborators of Yaara Yeshurun 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 Yaara Yeshurun. Yaara Yeshurun 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.
Yeshurun, Yaara, et al.. (2025). Default mode network synchrony reflects shared understanding. Current Opinion in Behavioral Sciences. 64. 101540–101540. 1 indexed citations
2.
Yeshurun, Yaara, et al.. (2025). Shared disbelief and shared belief: Belief and disbelief as drivers of interpersonal neural synchronization during narrative processing. Proceedings of the National Academy of Sciences. 122(23). e2422396122–e2422396122.
3.
Hanein, Yael, et al.. (2025). Facial mimicry predicts preference. Communications Psychology. 3(1). 176–176.
4.
Yeshurun, Yaara, et al.. (2023). Attachment Reminders Trigger Widespread Synchrony across Multiple Brains. Journal of Neuroscience. 43(43). 7213–7225. 1 indexed citations
5.
Yeshurun, Yaara, et al.. (2023). Deeper Than You Think: Partisanship-Dependent Brain Responses in Early Sensory and Motor Brain Regions. Journal of Neuroscience. 43(6). 1027–1037. 13 indexed citations
6.
Yeshurun, Yaara, et al.. (2022). Liking as a balance between synchronization, complexity and novelty. Scientific Reports. 12(1). 3181–3181. 26 indexed citations
7.
Nastase, Samuel A., et al.. (2022). Real-time neurofeedback to alter interpretations of a naturalistic narrative. SHILAP Revista de lepidopterología. 2(3). 100111–100111. 2 indexed citations
8.
Chang, Claire H. C., et al.. (2021). Relating the Past with the Present: Information Integration and Segregation during Ongoing Narrative Processing. Journal of Cognitive Neuroscience. 33(6). 1106–1128. 27 indexed citations
9.
Salomon, Roy, Miki Bloch, Yaara Yeshurun, et al.. (2021). Mother brain is wired for social moments. eLife. 10. 17 indexed citations
10.
Yeshurun, Yaara, Mai Nguyen, & Uri Hasson. (2021). The default mode network: where the idiosyncratic self meets the shared social world. Nature reviews. Neuroscience. 22(3). 181–192. 370 indexed citations breakdown →
11.
Yeshurun, Yaara, et al.. (2021). Reading the mind with a mask? Improvement in reading the mind in the eyes during the COVID-19 pandemic.. Emotion. 21(8). 1801–1806. 7 indexed citations
12.
Yeshurun, Yaara, Mai Nguyen, & Uri Hasson. (2017). Amplification of local changes along the timescale processing hierarchy. Proceedings of the National Academy of Sciences. 114(35). 9475–9480. 60 indexed citations
13.
Simony, Erez, Christopher J. Honey, Janice Chen, et al.. (2016). Dynamic reconfiguration of the default mode network during narrative comprehension. Nature Communications. 7(1). 12141–12141. 375 indexed citations breakdown →
14.
Chen, Po-Hsuan, Janice Chen, Yaara Yeshurun, et al.. (2015). A reduced-dimension fMRI shared response model. Neural Information Processing Systems. 28. 460–468. 74 indexed citations
15.
Yeshurun, Yaara, Liron Rozenkrantz, Sagit Shushan, et al.. (2011). Human Tears Contain a Chemosignal. Science. 331(6014). 226–230. 145 indexed citations
16.
Yeshurun, Yaara, Yadin Dudai, & Noam Sobel. (2008). Working memory across nostrils.. Behavioral Neuroscience. 122(5). 1031–1037. 21 indexed citations
17.
Privman, Eran, Yuval Nir, Uri Kramer, et al.. (2007). Enhanced Category Tuning Revealed by Intracranial Electroencephalograms in High-Order Human Visual Areas. Journal of Neuroscience. 27(23). 6234–6242. 55 indexed citations
18.
Gorfine, Tali, Yaara Yeshurun, & Nava Zisapel. (2007). Nap and melatonin‐induced changes in hippocampal activation and their role in verbal memory consolidation. Journal of Pineal Research. 43(4). 336–342. 37 indexed citations
19.
Gorfine, Tali, Yaniv Assaf, Yonatan Goshen‐Gottstein, Yaara Yeshurun, & Nava Zisapel. (2006). Sleep-anticipating effects of melatonin in the human brain. NeuroImage. 31(1). 410–418. 53 indexed citations
20.
Ruppin, Eytan, Eli Schwartz, & Yaara Yeshurun. (1993). Examining the volume efficiency of the cortical architecture in a multi-processor network model. Biological Cybernetics. 70(1). 89–94. 34 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.

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