Quan Wen

3.5k total citations
79 papers, 2.1k citations indexed

About

Quan Wen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Quan Wen has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Quan Wen's work include Photoreceptor and optogenetics research (12 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers) and Neural dynamics and brain function (10 papers). Quan Wen is often cited by papers focused on Photoreceptor and optogenetics research (12 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers) and Neural dynamics and brain function (10 papers). Quan Wen collaborates with scholars based in China, United States and Canada. Quan Wen's co-authors include Dmitri B. Chklovskii, Kunyan Kuang, Jorge Fischbarg, Aravinthan D. T. Samuel, Yuming Chai, Mei Zhen, Matthieu Wyart, Sway P. Chen, Yansui Li and Christopher Fang‐Yen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Quan Wen

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Wen China 25 649 493 452 367 335 79 2.1k
Tetsuya Kobayashi Japan 33 602 0.9× 1.3k 2.7× 103 0.2× 166 0.5× 456 1.4× 219 4.2k
Pablo Blinder Israel 23 809 1.2× 647 1.3× 157 0.3× 582 1.6× 82 0.2× 49 3.2k
David S. Karow United States 21 252 0.4× 570 1.2× 595 1.3× 403 1.1× 434 1.3× 27 2.5k
Christopher V. Gabel United States 24 616 0.9× 798 1.6× 1.1k 2.5× 71 0.2× 618 1.8× 45 2.4k
Laura Bianchi United States 32 730 1.1× 2.0k 4.0× 585 1.3× 62 0.2× 323 1.0× 123 3.8k
Marc Dhénain France 30 542 0.8× 795 1.6× 89 0.2× 366 1.0× 89 0.3× 96 2.8k
Takashi Tominaga Japan 23 1.1k 1.8× 1.1k 2.3× 60 0.1× 633 1.7× 141 0.4× 124 3.1k
Padraig Gleeson United Kingdom 17 608 0.9× 527 1.1× 112 0.2× 792 2.2× 82 0.2× 45 1.7k
Netta Cohen United Kingdom 19 550 0.8× 405 0.8× 456 1.0× 234 0.6× 276 0.8× 48 1.6k
Roger Pocock Australia 22 225 0.3× 900 1.8× 574 1.3× 66 0.2× 262 0.8× 66 1.8k

Countries citing papers authored by Quan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Wen. A scholar is included among the top collaborators of Quan Wen 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 Quan Wen. Quan Wen 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.
Wang, Yu, et al.. (2025). Panaxadiol Attenuates Brain Damage by Inhibiting Ferroptosis in a Rat Model of Cerebral Hemorrhage. Drug Development Research. 86(2). e70079–e70079. 2 indexed citations
2.
Li, Kun, Xuezhu Feng, Ke Wang, et al.. (2025). TurboID-based proximity labeling identifies novel germline proteins that maintain E granule integrity and small RNA homeostasis in C. elegans. Science China Life Sciences. 68(12). 3466–3485. 1 indexed citations
3.
Chai, Yuming, et al.. (2025). The geometry and dimensionality of brain-wide activity. eLife. 14.
4.
Huo, Jing, Qi Liu, Sandeep Kumar, et al.. (2024). Hierarchical behavior control by a single class of interneurons. Proceedings of the National Academy of Sciences. 121(47). e2410789121–e2410789121. 3 indexed citations
5.
Meng, Jun, Tosif Ahamed, Bin Yu, et al.. (2024). A tonically active master neuron modulates mutually exclusive motor states at two timescales. Science Advances. 10(15). eadk0002–eadk0002. 6 indexed citations
6.
Guo, Jianxiong, Lili Chen, Yongning Zhang, et al.. (2023). Bidirectional near-infrared regulation of motor behavior using orthogonal emissive upconversion nanoparticles. Nanoscale. 15(17). 7845–7853. 6 indexed citations
7.
8.
Lu, Yangning, Tosif Ahamed, Ben Mulcahy, et al.. (2022). Extrasynaptic signaling enables an asymmetric juvenile motor circuit to produce symmetric undulation. Current Biology. 32(21). 4631–4644.e5. 10 indexed citations
9.
Hoang, Quan V., Quan Wen, David C. Paik, et al.. (2021). Scleral growth stunting via sub-Tenon injection of cross-linking solutions in live rabbits. British Journal of Ophthalmology. 107(6). 889–894. 2 indexed citations
10.
Qiao, Zhi, Yuming Chai, Zhi Zhu, et al.. (2021). Nonthermal and reversible control of neuronal signaling and behavior by midinfrared stimulation. Proceedings of the National Academy of Sciences. 118(10). 109 indexed citations
11.
Huo, Jing, Michelle D. Po, Taizo Kawano, et al.. (2018). Descending pathway facilitates undulatory wave propagation in Caenorhabditis elegans through gap junctions. Proceedings of the National Academy of Sciences. 115(19). E4493–E4502. 41 indexed citations
12.
Yu, Guolong & Quan Wen. (2018). Expression of embryonic liver fodrin (ELF) and stem cell markers in CD13 liver cancer stem cells.. PubMed. 22(6). 1653–1657. 1 indexed citations
13.
Cong, Lin, Zeguan Wang, Yuming Chai, et al.. (2017). Rapid whole brain imaging of neural activity in freely behaving larval zebrafish (Danio rerio). eLife. 6. 211 indexed citations
14.
Zhou, Xinyu, et al.. (2017). Effects and mechanisms of hepatitis B virus X protein on invasion and migration of hepatocellular carcinoma cells. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 16(2). 177–182.
15.
Hoang, Quan V., Daniel Rohrbach, Quan Wen, et al.. (2016). Characterization of the Elastic Properties of Lower Field Myopia in Guinea Pig Eyes at the Micrometer Scale with Acoustic Microscopy. Investigative Ophthalmology & Visual Science. 57(12). 5532–5532. 1 indexed citations
16.
Shen, Yu, Quan Wen, He Liu, et al.. (2016). An extrasynaptic GABAergic signal modulates a pattern of forward movement in Caenorhabditis elegans. eLife. 5. 41 indexed citations
17.
Hoang, Quan V., Quan Wen, Stanley Chang, et al.. (2013). In Vivo Crosslinking of Scleral Collagen in the Rabbit Using Sub-Tenon Injection of Nitroalcohol. Investigative Ophthalmology & Visual Science. 54(15). 5169–5169. 1 indexed citations
18.
Yu, Gang, et al.. (2011). TH-030418: a potent long-acting opioid analgesic with low dependence liability. Naunyn-Schmiedeberg s Archives of Pharmacology. 384(2). 125–131. 10 indexed citations
19.
Wen, Quan, Armen Stepanyants, Guy N. Elston, Alexander Y. Grosberg, & Dmitri B. Chklovskii. (2009). Maximization of the connectivity repertoire as a statistical principle governing the shapes of dendritic arbors. Proceedings of the National Academy of Sciences. 106(30). 12536–12541. 91 indexed citations
20.
Sparrow, Janet R., Sonja Krane, Bolin Cai, et al.. (2003). Membrane Perturbation by A2E, an RPE Lipofuscin Constitutent. Investigative Ophthalmology & Visual Science. 44(13). 3144–3144. 1 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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