Yang Tsau

545 total citations
11 papers, 440 citations indexed

About

Yang Tsau is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Yang Tsau has authored 11 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Yang Tsau's work include Neural dynamics and brain function (8 papers), Neurobiology and Insect Physiology Research (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Yang Tsau is often cited by papers focused on Neural dynamics and brain function (8 papers), Neurobiology and Insect Physiology Research (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Yang Tsau collaborates with scholars based in United States and China. Yang Tsau's co-authors include Jian‐Young Wu, Li Guan, Li Guan, Lawrence B. Cohen, Leslie M. Loew, Peter Wenner, Michael J. O’Donovan, JY Wu, Joseph P. Wuskell and LB Cohen and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Journal of Neuroscience Methods.

In The Last Decade

Yang Tsau

11 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Tsau United States 9 330 302 70 59 47 11 440
Moshe Rapp Israel 5 349 1.1× 431 1.4× 74 1.1× 61 1.0× 13 0.3× 5 533
Sami El‐Boustani France 13 412 1.2× 624 2.1× 138 2.0× 81 1.4× 56 1.2× 19 736
Thomas T. G. Hahn Germany 6 664 2.0× 799 2.6× 65 0.9× 39 0.7× 27 0.6× 9 878
Elizabeth García‐Pérez Spain 11 247 0.7× 233 0.8× 64 0.9× 129 2.2× 29 0.6× 15 443
Zuzanna Piwkowska France 10 327 1.0× 425 1.4× 143 2.0× 36 0.6× 23 0.5× 17 492
Martin Pospischil France 7 331 1.0× 418 1.4× 109 1.6× 34 0.6× 25 0.5× 9 484
Vera Maura Fernandes de Lima Germany 12 208 0.6× 159 0.5× 14 0.2× 94 1.6× 37 0.8× 43 409
Hindiael Belchior Brazil 10 298 0.9× 507 1.7× 74 1.1× 32 0.5× 23 0.5× 15 575
Katsunori Kitano Japan 14 272 0.8× 364 1.2× 83 1.2× 77 1.3× 71 1.5× 33 546
Christian Tomm Switzerland 4 631 1.9× 713 2.4× 64 0.9× 54 0.9× 20 0.4× 5 798

Countries citing papers authored by Yang Tsau

Since Specialization
Citations

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

Fields of papers citing papers by Yang Tsau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Tsau

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

All Works

11 of 11 papers shown
1.
Wu, Jian‐Young, Li Guan, & Yang Tsau. (1999). Propagating Activation during Oscillations and Evoked Responses in Neocortical Slices. Journal of Neuroscience. 19(12). 5005–5015. 135 indexed citations
2.
Tsau, Yang, Li Guan, & Jian‐Young Wu. (1999). Epileptiform Activity Can Be Initiated in Various Neocortical Layers: An Optical Imaging Study. Journal of Neurophysiology. 82(4). 1965–1973. 46 indexed citations
3.
Wu, Jian‐Young, Ying‐Wan Lam, Chun X. Falk, et al.. (1998). Voltage-sensitive dyes for monitoring multineuronal activity in the intact central nervous system. The Histochemical Journal. 30(3). 169–187. 47 indexed citations
4.
Tsau, Yang, Li Guan, & Jian‐Young Wu. (1998). Initiation of Spontaneous Epileptiform Activity in the Neocortical Slice. Journal of Neurophysiology. 80(2). 978–982. 61 indexed citations
5.
Wenner, Peter, Yang Tsau, Lawrence B. Cohen, Michael J. O’Donovan, & Dan Yang. (1996). Voltage-sensitive dye recording using retrogradely transported dye in the chicken spinal cord: staining and signal characteristics. Journal of Neuroscience Methods. 70(2). 111–120. 27 indexed citations
6.
Tsau, Yang, Peter Wenner, Michael J. O’Donovan, et al.. (1996). Dye screening and signal-to-noise ratio for retrogradely transported voltage-sensitive dyes. Journal of Neuroscience Methods. 70(2). 121–129. 45 indexed citations
7.
Shao, Xuesi M. & Yang Tsau. (1996). Measure and statistical test for cross-correlation between paired neuronal spike trains with small sample size. Journal of Neuroscience Methods. 70(2). 141–152. 9 indexed citations
9.
Tsau, Yang, et al.. (1994). Distributed aspects of the response to siphon touch in Aplysia: spread of stimulus information and cross-correlation analysis. Journal of Neuroscience. 14(7). 4167–4184. 33 indexed citations
10.
Tsau, Yang & Peixi Chen. (1989). Normalized Power Spectrum Density Function Analysis on Spike Trains ii. Rhythms of Unit Activities in the Somatosensory cortex of Cats. International Journal of Neuroscience. 49(1-2). 123–131. 3 indexed citations
11.
Tsau, Yang & Peixi Chen. (1989). Normalized Power Spectrum Density Function Analysis on Spike Trains I. Mathematical Method and its Evaluation. International Journal of Neuroscience. 49(1-2). 115–121. 3 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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