Sudong Guan

47 total papers · 549 total citations
29 papers, 441 citations indexed

About

Sudong Guan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Sudong Guan has authored 29 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Sudong Guan's work include Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (9 papers) and Cardiac Ischemia and Reperfusion (4 papers). Sudong Guan is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (9 papers) and Cardiac Ischemia and Reperfusion (4 papers). Sudong Guan collaborates with scholars based in China and United States. Sudong Guan's co-authors include Jinhui Wang, Yan Zhu, Li Huang, Qin Gao, Na Chen, Guanjun Zhang, Ming Ge, Zilong Gao, Shidi Zhao and Yan Zhu and has published in prestigious journals such as PLoS ONE, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Sudong Guan

27 papers receiving 436 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sudong Guan 265 165 119 108 60 29 441
Jianping Zhang 109 0.4× 113 0.7× 129 1.1× 99 0.9× 49 0.8× 29 456
Xiaoming Li 206 0.8× 51 0.3× 178 1.5× 84 0.8× 38 0.6× 22 442
Tahereh Ghadiri 127 0.5× 75 0.5× 124 1.0× 77 0.7× 22 0.4× 31 470
Paul S. Blum 140 0.5× 130 0.8× 99 0.8× 83 0.8× 24 0.4× 17 415
Dan Chen 139 0.5× 32 0.2× 144 1.2× 52 0.5× 24 0.4× 29 478
Conrad M. Kiyoshi 288 1.1× 71 0.4× 201 1.7× 150 1.4× 12 0.2× 15 446
Tian Yu 198 0.7× 209 1.3× 79 0.7× 19 0.2× 9 0.1× 38 471
Xianfu Lu 192 0.7× 45 0.3× 153 1.3× 35 0.3× 32 0.5× 33 494
Tae-Kyeong Lee 86 0.3× 59 0.4× 94 0.8× 190 1.8× 27 0.5× 52 472
Fei Shen 221 0.8× 91 0.6× 122 1.0× 31 0.3× 19 0.3× 15 432

Countries citing papers authored by Sudong Guan

Since Specialization
Citations

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

Fields of papers citing papers by Sudong Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudong Guan

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026