Jyh‐Jang Sun

1.6k total citations
27 papers, 1.2k citations indexed

About

Jyh‐Jang Sun is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jyh‐Jang Sun has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Jyh‐Jang Sun's work include Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (13 papers) and Neuroscience and Neuropharmacology Research (9 papers). Jyh‐Jang Sun is often cited by papers focused on Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (13 papers) and Neuroscience and Neuropharmacology Research (9 papers). Jyh‐Jang Sun collaborates with scholars based in Germany, Belgium and Taiwan. Jyh‐Jang Sun's co-authors include Heiko J. Luhmann, Werner Kilb, Jiwon Yang, Ileana L. Hanganu‐Opatz, Vicente Reyes‐Puerta, Jenq‐Wei Yang, Shuming An, Dominik Fröhlich, Christoph M. Zehendner and Sheena Pinto and has published in prestigious journals such as Journal of Neuroscience, Current Biology and Journal of Neurophysiology.

In The Last Decade

Jyh‐Jang Sun

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyh‐Jang Sun Germany 15 740 646 345 140 138 27 1.2k
F.H. Lopes da Silva Netherlands 10 867 1.2× 1.1k 1.7× 161 0.5× 105 0.8× 32 0.2× 10 1.5k
Anna R. Moore United States 13 433 0.6× 232 0.4× 323 0.9× 170 1.2× 37 0.3× 17 749
Vadym Gnatkovsky Italy 24 1.0k 1.4× 867 1.3× 254 0.7× 50 0.4× 28 0.2× 52 1.5k
Charles Quairiaux Switzerland 18 856 1.2× 720 1.1× 291 0.8× 168 1.2× 16 0.1× 29 1.4k
Claire Sethares United States 16 588 0.8× 628 1.0× 270 0.8× 298 2.1× 36 0.3× 18 1.5k
Michael T. Craig United States 15 941 1.3× 609 0.9× 421 1.2× 147 1.1× 28 0.2× 24 1.4k
Noriaki Ohkawa Japan 16 544 0.7× 390 0.6× 357 1.0× 163 1.2× 41 0.3× 34 1.1k
Elena Cid Spain 19 887 1.2× 693 1.1× 230 0.7× 81 0.6× 17 0.1× 34 1.2k
Nathalie Dehorter Australia 14 633 0.9× 356 0.6× 384 1.1× 259 1.9× 23 0.2× 21 1.1k
Jacque Pak Kan Ip Hong Kong 15 355 0.5× 237 0.4× 561 1.6× 187 1.3× 66 0.5× 27 1.1k

Countries citing papers authored by Jyh‐Jang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jyh‐Jang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyh‐Jang Sun. 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 Jyh‐Jang Sun. The network helps show where Jyh‐Jang Sun may publish in the future.

Co-authorship network of co-authors of Jyh‐Jang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jyh‐Jang Sun. A scholar is included among the top collaborators of Jyh‐Jang Sun 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 Jyh‐Jang Sun. Jyh‐Jang Sun 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.
2.
Reyes‐Puerta, Vicente, et al.. (2021). Clustering and control for adaptation uncovers time-warped spike time patterns in cortical networks in vivo. Scientific Reports. 11(1). 15066–15066. 5 indexed citations
3.
Michon, Frédéric, et al.. (2021). Single-trial dynamics of hippocampal spatial representations are modulated by reward value. Current Biology. 31(20). 4423–4435.e5. 5 indexed citations
4.
Michon, Frédéric, Jyh‐Jang Sun, Chae Young Kim, & Fabian Kloosterman. (2020). A Dual Reward-Place Association Task to Study the Preferential Retention of Relevant Memories in Rats. Frontiers in Behavioral Neuroscience. 14. 69–69. 1 indexed citations
5.
Michon, Frédéric, et al.. (2019). Post-learning Hippocampal Replay Selectively Reinforces Spatial Memory for Highly Rewarded Locations. Current Biology. 29(9). 1436–1444.e5. 51 indexed citations
6.
Daal, Rik van, Jyh‐Jang Sun, Frederik Ceyssens, et al.. (2019). System for recording from multiple flexible polyimide neural probes in freely behaving animals. Journal of Neural Engineering. 17(1). 16046–16046. 14 indexed citations
7.
Reyes‐Puerta, Vicente, Suam Kim, Jyh‐Jang Sun, et al.. (2015). High Stimulus-Related Information in Barrel Cortex Inhibitory Interneurons. PLoS Computational Biology. 11(6). e1004121–e1004121. 17 indexed citations
8.
Fröhlich, Dominik, Carsten Frühbeis, Jyh‐Jang Sun, et al.. (2014). Multifaceted effects of oligodendroglial exosomes on neurons: impact on neuronal firing rate, signal transduction and gene regulation. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1652). 20130510–20130510. 241 indexed citations
9.
Reyes‐Puerta, Vicente, Jyh‐Jang Sun, Suam Kim, Werner Kilb, & Heiko J. Luhmann. (2014). Laminar and Columnar Structure of Sensory-Evoked Multineuronal Spike Sequences in Adult Rat Barrel Cortex In Vivo. Cerebral Cortex. 25(8). 2001–2021. 60 indexed citations
10.
Chen, Chun-Chung, et al.. (2014). Reconstruction of network structures from repeating spike patterns in simulated bursting dynamics. Physical Review E. 90(1). 12703–12703. 5 indexed citations
11.
Nimmervoll, Birgit, Robin White, Jenq‐Wei Yang, et al.. (2012). LPS-Induced Microglial Secretion of TNFα Increases Activity-Dependent Neuronal Apoptosis in the Neonatal Cerebral Cortex. Cerebral Cortex. 23(7). 1742–1755. 56 indexed citations
12.
Yang, Jenq‐Wei, Shuming An, Jyh‐Jang Sun, et al.. (2012). Thalamic Network Oscillations Synchronize Ontogenetic Columns in the Newborn Rat Barrel Cortex. Cerebral Cortex. 23(6). 1299–1316. 132 indexed citations
13.
Yang, Jiwon, Ileana L. Hanganu‐Opatz, Jyh‐Jang Sun, & Heiko J. Luhmann. (2009). Three Patterns of Oscillatory Activity Differentially Synchronize Developing Neocortical Networks In Vivo. Journal of Neuroscience. 29(28). 9011–9025. 222 indexed citations
14.
Heck, Nicolas, et al.. (2007). Activity-Dependent Regulation of Neuronal Apoptosis in Neonatal Mouse Cerebral Cortex. Cerebral Cortex. 18(6). 1335–1349. 103 indexed citations
15.
Sun, Jyh‐Jang & Heiko J. Luhmann. (2007). Spatio‐temporal dynamics of oscillatory network activity in the neonatal mouse cerebral cortex. European Journal of Neuroscience. 26(7). 1995–2004. 49 indexed citations
16.
Sun, Jyh‐Jang, et al.. (2006). Short-term facilitation in the anterior cingulate cortex following stimulation of the medial thalamus in the rat. Brain Research. 1097(1). 101–115. 19 indexed citations
17.
18.
Lin, Chun‐Yu, et al.. (2004). BOLD response to direct thalamic stimulation reveals a functional connection between the medial thalamus and the anterior cingulate cortex in the rat. Magnetic Resonance in Medicine. 52(1). 47–55. 38 indexed citations
19.
Shyu, Bai‐Chuang, Chun‐Yu Lin, Jyh‐Jang Sun, Sergiy Sylantyev, & Chen Chang. (2004). A method for direct thalamic stimulation in fMRI studies using a glass-coated carbon fiber electrode. Journal of Neuroscience Methods. 137(1). 123–131. 9 indexed citations
20.
Lin, Chun‐Yu, Jyh‐Jang Sun, Chiung‐Chih Chang, et al.. (2002). A fMRI study of the anterior cingulate cortex activations during direct electrical stimulation of the medial thalamus in rats. 2 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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