Sae Yokoyama

609 total citations
7 papers, 384 citations indexed

About

Sae Yokoyama is a scholar working on Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Sae Yokoyama has authored 7 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Experimental and Cognitive Psychology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Social Psychology. Recurrent topics in Sae Yokoyama's work include Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Evolutionary Psychology and Human Behavior (2 papers). Sae Yokoyama is often cited by papers focused on Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Evolutionary Psychology and Human Behavior (2 papers). Sae Yokoyama collaborates with scholars based in United States, China and Italy. Sae Yokoyama's co-authors include Kira E. Poskanzer, Michael E. Reitman, Natalia Duque‐Wilckens, Rebecca Hao, Vanessa A. Minie, Brian C. Trainor, Karen L. Bales, Marta Busnelli, Sarah A. Laredo and Michael Q. Steinman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Biological Psychiatry.

In The Last Decade

Sae Yokoyama

7 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sae Yokoyama United States 6 190 122 106 97 87 7 384
Vinícius Elias de Moura Oliveira Germany 9 279 1.5× 89 0.7× 78 0.7× 144 1.5× 74 0.9× 13 408
Carley A. Karsten United States 8 105 0.6× 124 1.0× 127 1.2× 58 0.6× 38 0.4× 9 392
Adi Cymerblit‐Sabba Israel 11 204 1.1× 162 1.3× 192 1.8× 124 1.3× 38 0.4× 13 482
Soomin C. Song United States 7 240 1.3× 108 0.9× 123 1.2× 96 1.0× 26 0.3× 15 410
Kayvon Salimi United States 9 219 1.2× 138 1.1× 47 0.4× 34 0.4× 71 0.8× 10 520
Daniel W. Bayless United States 10 214 1.1× 131 1.1× 105 1.0× 102 1.1× 37 0.4× 10 431
Patrick L. Bader United States 7 225 1.2× 163 1.3× 183 1.7× 61 0.6× 58 0.7× 7 618
Gian D. Greenberg United States 10 284 1.5× 103 0.8× 41 0.4× 221 2.3× 106 1.2× 13 465
Peter J. Schuette United States 11 133 0.7× 233 1.9× 318 3.0× 69 0.7× 24 0.3× 17 514
Kevin J. Norman United States 9 157 0.8× 159 1.3× 123 1.2× 162 1.7× 19 0.2× 12 397

Countries citing papers authored by Sae Yokoyama

Since Specialization
Citations

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

Fields of papers citing papers by Sae Yokoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sae Yokoyama

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

All Works

7 of 7 papers shown
1.
Fetter, Richard D., et al.. (2022). NMDAR-dependent presynaptic homeostasis in adult hippocampus: Synapse growth and cross-modal inhibitory plasticity. Neuron. 110(20). 3302–3317.e7. 20 indexed citations
2.
Pittolo, Silvia, Sae Yokoyama, C R Taylor, et al.. (2022). Dopamine activates astrocytes in prefrontal cortex via α1-adrenergic receptors. Cell Reports. 40(13). 111426–111426. 35 indexed citations
3.
Peinado, Alba, Eduardo Bendek, Sae Yokoyama, & Kira E. Poskanzer. (2021). Deformable mirror-based axial scanning for two-photon mammalian brain imaging. Neurophotonics. 8(1). 15003–15003. 7 indexed citations
4.
Yokoyama, Sae, et al.. (2021). Cortical astrocytes independently regulate sleep depth and duration via separate GPCR pathways. eLife. 10. 102 indexed citations
5.
Duque‐Wilckens, Natalia, Sae Yokoyama, Vanessa A. Minie, et al.. (2020). Extrahypothalamic oxytocin neurons drive stress-induced social vigilance and avoidance. Proceedings of the National Academy of Sciences. 117(42). 26406–26413. 88 indexed citations
6.
Yokoyama, Sae, et al.. (2020). A Study on Green Space Planning after the Great Sichuan Earthquake, and Restoration of Linpan in Agricultural Area of Dujiangyan, Sichuan Province, China. Journal of the City Planning Institute of Japan. 55(3). 753–760. 2 indexed citations
7.
Duque‐Wilckens, Natalia, Michael Q. Steinman, Marta Busnelli, et al.. (2017). Oxytocin Receptors in the Anteromedial Bed Nucleus of the Stria Terminalis Promote Stress-Induced Social Avoidance in Female California Mice. Biological Psychiatry. 83(3). 203–213. 130 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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