Weirui Guo

1.4k total citations
9 papers, 808 citations indexed

About

Weirui Guo is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Weirui Guo has authored 9 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Weirui Guo's work include Genetics and Neurodevelopmental Disorders (6 papers), Ubiquitin and proteasome pathways (3 papers) and Autism Spectrum Disorder Research (3 papers). Weirui Guo is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), Ubiquitin and proteasome pathways (3 papers) and Autism Spectrum Disorder Research (3 papers). Weirui Guo collaborates with scholars based in United States, China and Macao. Weirui Guo's co-authors include Kimberly M. Huber, Julia R. Wilkerson, Nien‐Pei Tsai, Katie A. Collins, Marina A. Maksimova, George Demartino, Christopher W. Cowan, Paul Worley, Seth A. Hays and Xiaoping Chen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Weirui Guo

8 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weirui Guo United States 7 464 307 298 215 196 9 808
Sandra B. Laurent Canada 15 608 1.3× 368 1.2× 253 0.8× 253 1.2× 270 1.4× 20 1.1k
Cristina Vasuta Canada 10 408 0.9× 244 0.8× 230 0.8× 238 1.1× 74 0.4× 10 748
Ronald A.M. Buijsen Netherlands 15 599 1.3× 543 1.8× 291 1.0× 294 1.4× 49 0.3× 31 827
Simona D’Antoni Italy 17 506 1.1× 397 1.3× 319 1.1× 251 1.2× 50 0.3× 26 894
Noam D. Rudnick United States 9 443 1.0× 116 0.4× 129 0.4× 74 0.3× 154 0.8× 16 764
Shuang Hao United States 10 455 1.0× 460 1.5× 265 0.9× 326 1.5× 92 0.5× 14 918
Chicheng Sun United States 9 361 0.8× 96 0.3× 340 1.1× 90 0.4× 61 0.3× 11 669
Theron A. Russell United States 16 556 1.2× 392 1.3× 346 1.2× 203 0.9× 49 0.3× 18 963
Biplob Dass United States 6 247 0.5× 125 0.4× 428 1.4× 98 0.5× 386 2.0× 7 718
Nazim Kourdougli France 12 325 0.7× 145 0.5× 427 1.4× 204 0.9× 26 0.1× 14 738

Countries citing papers authored by Weirui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Weirui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weirui Guo

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

All Works

9 of 9 papers shown
1.
2.
Ge, Pu, Jiaxin Liu, Siyuan Fan, et al.. (2023). Risk of antiangiogenic adverse events in metastatic colorectal cancer patients receiving aflibercept in combination with chemotherapy: A meta-analysis. Medicine. 102(35). e34793–e34793. 1 indexed citations
3.
Guo, Weirui, Gemma Molinaro, Katie A. Collins, et al.. (2016). Selective Disruption of Metabotropic Glutamate Receptor 5-Homer Interactions Mimics Phenotypes of Fragile X Syndrome in Mice. Journal of Neuroscience. 36(7). 2131–2147. 42 indexed citations
4.
Ade, Kristen K., Yehong Wan, Justin K. O’Hare, et al.. (2016). Increased Metabotropic Glutamate Receptor 5 Signaling Underlies Obsessive-Compulsive Disorder-like Behavioral and Striatal Circuit Abnormalities in Mice. Biological Psychiatry. 80(7). 522–533. 60 indexed citations
5.
Tsai, Nien‐Pei, Julia R. Wilkerson, Weirui Guo, & Kimberly M. Huber. (2016). FMRP-dependent Mdm2 dephosphorylation is required for MEF2-induced synapse elimination. Human Molecular Genetics. 26(2). ddw386–ddw386. 26 indexed citations
6.
Guo, Weirui, Laura Ceolin, Katie A. Collins, Julie Perroy, & Kimberly M. Huber. (2015). Elevated CaMKIIα and Hyperphosphorylation of Homer Mediate Circuit Dysfunction in a Fragile X Syndrome Mouse Model. Cell Reports. 13(10). 2297–2311. 44 indexed citations
7.
Tsai, Nien‐Pei, Julia R. Wilkerson, Weirui Guo, et al.. (2012). Multiple Autism-Linked Genes Mediate Synapse Elimination via Proteasomal Degradation of a Synaptic Scaffold PSD-95. Cell. 151(7). 1581–1594. 221 indexed citations
8.
Ronesi, Jennifer, Katie A. Collins, Seth A. Hays, et al.. (2012). Disrupted Homer scaffolds mediate abnormal mGluR5 function in a mouse model of fragile X syndrome. Nature Neuroscience. 15(3). 431–440. 203 indexed citations
9.
Li, Yan, Payal Ray, Shi Chen, et al.. (2010). A Drosophila model for TDP-43 proteinopathy. Proceedings of the National Academy of Sciences. 107(7). 3169–3174. 211 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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