Ching‐Lung Hsu

635 total citations
9 papers, 346 citations indexed

About

Ching‐Lung Hsu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ching‐Lung Hsu has authored 9 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Ching‐Lung Hsu's work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (4 papers). Ching‐Lung Hsu is often cited by papers focused on Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (4 papers). Ching‐Lung Hsu collaborates with scholars based in United States, Taiwan and Hong Kong. Ching‐Lung Hsu's co-authors include Nelson Spruston, Xinyu Zhao, Jianglai Wu, Yajie Liang, Shuo Chen, Dongqing Shi, Mariya Chavarha, Stephen W. Evans, Na Ji and Michael Z. Lin and has published in prestigious journals such as Neuron, The Journal of Physiology and Nature Methods.

In The Last Decade

Ching‐Lung Hsu

9 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Lung Hsu United States 7 192 165 96 84 48 9 346
Claudio Moretti Italy 8 237 1.2× 193 1.2× 79 0.8× 77 0.9× 64 1.3× 12 443
Bill Karsh United States 6 231 1.2× 177 1.1× 90 0.9× 70 0.8× 36 0.8× 6 353
Horst A. Obenhaus Germany 8 205 1.1× 228 1.4× 80 0.8× 93 1.1× 31 0.6× 9 416
Jae-eun Kang Miller United States 6 283 1.5× 301 1.8× 125 1.3× 47 0.6× 58 1.2× 7 484
Carlos J. Duque-Afonso Germany 6 162 0.8× 147 0.9× 43 0.4× 104 1.2× 48 1.0× 7 351
Kyle P. Lillis United States 11 313 1.6× 197 1.2× 67 0.7× 115 1.4× 60 1.3× 22 446
Michael Doron United States 6 135 0.7× 135 0.8× 51 0.5× 55 0.7× 20 0.4× 9 265
Frank Tejera United States 5 82 0.4× 83 0.5× 150 1.6× 40 0.5× 62 1.3× 6 257
Stephen W. Evans United States 4 313 1.6× 185 1.1× 202 2.1× 132 1.6× 84 1.8× 6 510
Dejan Vučinić United States 6 220 1.1× 113 0.7× 103 1.1× 47 0.6× 77 1.6× 6 332

Countries citing papers authored by Ching‐Lung Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Lung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Lung Hsu. 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 Ching‐Lung Hsu. The network helps show where Ching‐Lung Hsu may publish in the future.

Co-authorship network of co-authors of Ching‐Lung Hsu

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

All Works

9 of 9 papers shown
1.
Zhao, Xinyu, Ching‐Lung Hsu, & Nelson Spruston. (2021). Rapid synaptic plasticity contributes to a learned conjunctive code of position and choice-related information in the hippocampus. Neuron. 110(1). 96–108.e4. 32 indexed citations
2.
Wu, Jianglai, Yajie Liang, Shuo Chen, et al.. (2020). Kilohertz two-photon fluorescence microscopy imaging of neural activity in vivo. Nature Methods. 17(3). 287–290. 150 indexed citations
3.
Piccolo, Francesco M., Zhe Liu, Peng Dong, et al.. (2019). Mecp2 Nuclear Dynamics in Live Neurons Results from Low and High Affinity Chromatin Interactions. SSRN Electronic Journal. 1 indexed citations
4.
Piccolo, Francesco M., Zhe Liu, Peng Dong, et al.. (2019). MeCP2 nuclear dynamics in live neurons results from low and high affinity chromatin interactions. eLife. 8. 31 indexed citations
5.
Hsu, Ching‐Lung, Xinyu Zhao, Aaron D. Milstein, & Nelson Spruston. (2018). Persistent Sodium Current Mediates the Steep Voltage Dependence of Spatial Coding in Hippocampal Pyramidal Neurons. Neuron. 99(1). 147–162.e8. 37 indexed citations
6.
Spruston, Nelson, Yujin Kim, Ching‐Lung Hsu, Mark S. Cembrowski, & Brett D. Mensh. (2015). Dendritic sodium spikes are required for long-term potentiation at distal synapses on hippocampal pyramidal neurons: Source data for all figures. Figshare. 4 indexed citations
7.
Kim, Yujin, Ching‐Lung Hsu, Mark S. Cembrowski, Brett D. Mensh, & Nelson Spruston. (2015). Dendritic sodium spikes are required for long-term potentiation at distal synapses on hippocampal pyramidal neurons. eLife. 4. 67 indexed citations
9.
Hsu, Ching‐Lung, et al.. (2010). Comparison of synaptic transmission and plasticity between sensory and cortical synapses on relay neurons in the ventrobasal nucleus of the rat thalamus. The Journal of Physiology. 588(22). 4347–4363. 17 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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