Guo‐Qiang Bi

17.7k citations
118 papers · 11.3k indexed · 7 hit papers · h-index 39
Topics
Neuroscience and Neuropharmacology Research (40 papers)Neural dynamics and brain function (31 papers)Photoreceptor and optogenetics research (24 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Guo‐Qiang Bi

114 papers receiving 11.1k citations

Hit Papers

Synaptic Modifications in Cultured Hippocampal Neurons: D...19982026200720161998200120192000201610002.0k3.0k

Peers

Guo‐Qiang Bi
Comparison fields: 5 of 175
  • Cellular and Molecular Neuroscience 5.5k
  • Cognitive Neuroscience 4.9k
  • Electrical and Electronic Engineering 4.6k
  • Molecular Biology 2.2k
  • Cell Biology 865
Replace R. Clay Reid with:
R. Clay Reid United States
Carl C.H. Petersen Switzerland
Mark J. Schnitzer United States
Ryohei Yasuda United States
Qingming Luo China
J. J. Macklin United States
James N. Turner United States
David Kleinfeld United States
Andreas Hierlemann Switzerland
Logan Grosenick United States
Guo‐Qiang Bi relative to R. Clay Reid United States R. Clay Reid's profile →
Citations per field
00.5×7.0×
R. Clay Reid · 1×
Citations per year

Countries citing papers authored by Guo‐Qiang Bi

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Qiang Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Qiang Bi. 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 Guo‐Qiang Bi. The network helps show where Guo‐Qiang Bi may publish in the future.

Co-authorship network of co-authors of Guo‐Qiang Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Qiang Bi. A scholar is included among the top collaborators of Guo‐Qiang Bi 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 Guo‐Qiang Bi. Guo‐Qiang Bi 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
#WorkIndexed citations
1 0
2 1
3 7
4 1
5 5
6 5
7 44
8 67
9 0
10 8
11 19
12 17
13 118
14 30
15 330
16 12
17 117
18 49
19 47
20 202

About Guo‐Qiang Bi

Guo‐Qiang Bi is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Biophysics, having authored 118 papers that have together received 11.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (40 papers), Neural dynamics and brain function (31 papers) and Photoreceptor and optogenetics research (24 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.5k citations), Cognitive Neuroscience (4.9k citations) and Structural Biology (288 citations). Guo‐Qiang Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mu‐ming Poo, Richard A. Steinhardt, Janet M. Alderton, Mark C. W. van Rossum, Gina G. Turrigiano, Pak-Ming Lau, Z. Hong Zhou, Richard C. Gerkin, Yun-Tao Liu and Cheng Xu. Their work appears in journals such as Nature, Science and Cell.

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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