Siqiang Ren

26 total papers · 917 total citations
22 papers, 656 citations indexed

About

Siqiang Ren is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Siqiang Ren has authored 22 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Siqiang Ren's work include Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Alzheimer's disease research and treatments (4 papers). Siqiang Ren is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Alzheimer's disease research and treatments (4 papers). Siqiang Ren collaborates with scholars based in China, United States and Rwanda. Siqiang Ren's co-authors include Wen Yao, Wei Lü, Jing‐Zhi Yan, Tian Tian, Suyi Liu, Zhizhong Li, Song‐Hai Shi, Xin‐Jun Zhang, Xiaoyan Zhang and Luciano D'adamio and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Siqiang Ren

21 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Siqiang Ren 326 271 154 137 115 22 656
Tamar Lordkipanidze 229 0.7× 287 1.1× 113 0.7× 196 1.4× 64 0.6× 24 654
Maria Fe Lanfranco 405 1.2× 307 1.1× 172 1.1× 138 1.0× 137 1.2× 16 757
Timothy Pfankuch 218 0.7× 209 0.8× 146 0.9× 95 0.7× 114 1.0× 15 770
Ada Ledonne 425 1.3× 293 1.1× 111 0.7× 114 0.8× 92 0.8× 31 771
Julie Meffre 323 1.0× 304 1.1× 195 1.3× 73 0.5× 100 0.9× 13 702
Lianyan Huang 223 0.7× 314 1.2× 136 0.9× 82 0.6× 85 0.7× 27 713
Masato Sadahiro 361 1.1× 239 0.9× 160 1.0× 71 0.5× 127 1.1× 24 785
Irina Gureviciene 370 1.1× 140 0.5× 192 1.2× 141 1.0× 184 1.6× 21 648
Diane Guévremont 425 1.3× 348 1.3× 159 1.0× 105 0.8× 155 1.3× 33 715
Akio Sekigawa 263 0.8× 220 0.8× 161 1.0× 155 1.1× 112 1.0× 18 740

Countries citing papers authored by Siqiang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Siqiang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siqiang Ren

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

All Works

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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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