Guanxiao Qi

796 total citations
38 papers, 481 citations indexed

About

Guanxiao Qi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Guanxiao Qi has authored 38 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 17 papers in Computer Networks and Communications. Recurrent topics in Guanxiao Qi's work include Neural dynamics and brain function (22 papers), Neuroscience and Neuropharmacology Research (17 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Guanxiao Qi is often cited by papers focused on Neural dynamics and brain function (22 papers), Neuroscience and Neuropharmacology Research (17 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Guanxiao Qi collaborates with scholars based in Germany, China and United States. Guanxiao Qi's co-authors include Dirk Feldmeyer, Jochen F. Staiger, Karlijn I. van Aerde, Gabriele Radnikow, Hui‐Bin Huang, Danqing Yang, L. Chen, Ted Abel, Ileana L. Hanganu‐Opatz and Werner Kilb and has published in prestigious journals such as Brain, Neuroscience and Cerebral Cortex.

In The Last Decade

Guanxiao Qi

34 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanxiao Qi Germany 13 288 277 104 100 87 38 481
Kristen A. Richardson United States 7 305 1.1× 399 1.4× 62 0.6× 132 1.3× 85 1.0× 7 532
Fábio V. Caixeta Brazil 10 262 0.9× 439 1.6× 23 0.2× 67 0.7× 98 1.1× 19 669
Diek W. Wheeler United States 15 376 1.3× 438 1.6× 170 1.6× 166 1.7× 107 1.2× 33 753
Santi Chillemi Spain 12 131 0.5× 185 0.7× 74 0.7× 132 1.3× 63 0.7× 45 360
Nathan W. Schultheiss United States 8 264 0.9× 283 1.0× 63 0.6× 60 0.6× 36 0.4× 13 388
Tatjana Tchumatchenko Germany 13 297 1.0× 394 1.4× 40 0.4× 134 1.3× 112 1.3× 39 574
Yulia Timofeeva United Kingdom 12 272 0.9× 155 0.6× 66 0.6× 107 1.1× 254 2.9× 28 516
Christian G. Fink United States 9 198 0.7× 154 0.6× 29 0.3× 47 0.5× 100 1.1× 23 348
Marie‐Therese Horstmann Germany 5 280 1.0× 363 1.3× 61 0.6× 65 0.7× 198 2.3× 6 621
Sami El‐Boustani France 13 412 1.4× 624 2.3× 56 0.5× 138 1.4× 81 0.9× 19 736

Countries citing papers authored by Guanxiao Qi

Since Specialization
Citations

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

Fields of papers citing papers by Guanxiao Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanxiao Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Guanxiao Qi. A scholar is included among the top collaborators of Guanxiao Qi 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 Guanxiao Qi. Guanxiao Qi 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.
Yang, Danqing, Guanxiao Qi, Daniel Delev, Uwe Maskos, & Dirk Feldmeyer. (2025). Linking altered neuronal and synaptic properties to nicotinic receptor Alpha5 subunit gene dysfunction: a translational investigation in rat mPFC and human cortical layer 6. Translational Psychiatry. 15(1). 12–12.
3.
4.
Yang, Danqing, et al.. (2024). Modulation of large rhythmic depolarizations in human large basket cells by norepinephrine and acetylcholine. Communications Biology. 7(1). 885–885. 2 indexed citations
5.
Yang, Danqing, et al.. (2021). Layer 6A Pyramidal Cell Subtypes Form Synaptic Microcircuits with Distinct Functional and Structural Properties. Cerebral Cortex. 32(10). 2095–2111. 6 indexed citations
6.
Qi, Guanxiao, et al.. (2020). Unveiling the Synaptic Function and Structure Using Paired Recordings From Synaptically Coupled Neurons. Frontiers in Synaptic Neuroscience. 12. 5–5. 10 indexed citations
7.
Grein, Stephan, Guanxiao Qi, & Gillian Queisser. (2020). Density Visualization Pipeline: A Tool for Cellular and Network Density Visualization and Analysis. Frontiers in Computational Neuroscience. 14. 42–42. 1 indexed citations
8.
Yang, Danqing, Robert Heinz Günter, Guanxiao Qi, Gabriele Radnikow, & Dirk Feldmeyer. (2019). Muscarinic and Nicotinic Modulation of Neocortical Layer 6A Synaptic Microcircuits Is Cooperative and Cell-Specific. Cerebral Cortex. 30(6). 3528–3542. 15 indexed citations
9.
Feldmeyer, Dirk, et al.. (2017). Inhibitory Interneurons and their Circuit Motifs in the Many Layers of the Barrel Cortex. Neuroscience. 368. 132–151. 89 indexed citations
10.
Qi, Guanxiao, Gabriele Radnikow, & Dirk Feldmeyer. (2015). Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings. Journal of Visualized Experiments. 52358–52358. 17 indexed citations
11.
Qi, Guanxiao, et al.. (2015). Neocortical Layer 6B as a Remnant of the Subplate - A Morphological Comparison. Cerebral Cortex. 27(2). bhv279–bhv279. 47 indexed citations
12.
Qi, Guanxiao, Gabriele Radnikow, & Dirk Feldmeyer. (2015). Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings. Journal of Visualized Experiments. 7 indexed citations
13.
Rollenhagen, Astrid, Kurt Sätzler, Guanxiao Qi, et al.. (2014). Structural determinants underlying the high efficacy of synaptic transmission and plasticity at synaptic boutons in layer 4 of the adult rat ‘barrel cortex’. Brain Structure and Function. 220(6). 3185–3209. 29 indexed citations
14.
Aerde, Karlijn I. van, Guanxiao Qi, & Dirk Feldmeyer. (2013). Cell Type-Specific Effects of Adenosine on Cortical Neurons. Cerebral Cortex. 25(3). 772–787. 41 indexed citations
15.
Wu, Wangjie, et al.. (2012). Transition from winnerless competition to synchronization in time-delayed neuronal motifs. Europhysics Letters (EPL). 97(5). 58001–58001. 8 indexed citations
16.
Chen, L., et al.. (2010). Facilitated synchronization of complex networks through a discontinuous coupling strategy. The European Physical Journal B. 76(4). 625–635. 22 indexed citations
17.
Chen, Li, et al.. (2010). Coevolution of synchronous activity and connectivity in coupled chaotic oscillators. Physical Review E. 82(5). 56115–56115. 2 indexed citations
18.
Huang, Hui‐Bin, et al.. (2005). Coexistence of anticipated and layered chaotic synchronization in time-delay systems. Physical Review E. 72(3). 37203–37203. 6 indexed citations
19.
Huang, Hui‐Bin, et al.. (2005). Long-time anticipation of chaotic states in time-delay coupled ring and linear arrays. Physical Review E. 71(1). 15202–15202. 14 indexed citations
20.
Qi, Guanxiao, et al.. (2005). Layered synchronous propagation of noise-induced chaotic spikes in linear arrays. Physical Review E. 72(2). 21916–21916. 4 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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