Yu Mu

4.8k total citations · 2 hit papers
86 papers, 2.5k citations indexed

About

Yu Mu is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu Mu has authored 86 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Organic Chemistry and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu Mu's work include Chemical Synthesis and Analysis (12 papers), Zebrafish Biomedical Research Applications (11 papers) and Neural dynamics and brain function (10 papers). Yu Mu is often cited by papers focused on Chemical Synthesis and Analysis (12 papers), Zebrafish Biomedical Research Applications (11 papers) and Neural dynamics and brain function (10 papers). Yu Mu collaborates with scholars based in China, United States and Japan. Yu Mu's co-authors include Misha B. Ahrens, Sujatha Narayan, Darcy S. Peterka, Weijian Yang, Liam Paninski, Daniel Soudry, Davis Bennett, Loren L. Looger, Jeremy Freeman and Chao-Tsung Yang and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Yu Mu

78 papers receiving 2.5k citations

Hit Papers

Simultaneous Denoising, Deconvolution, and Demixing of Ca... 2016 2026 2019 2022 2016 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Mu China 20 849 846 779 443 310 86 2.5k
Emre Aksay United States 17 550 0.6× 682 0.8× 331 0.4× 258 0.6× 205 0.7× 26 1.3k
Shun Yamaguchi Japan 30 1.8k 2.1× 963 1.1× 1.2k 1.5× 168 0.4× 653 2.1× 74 5.8k
Jie Zhu United States 34 1.9k 2.3× 1.4k 1.6× 1.4k 1.8× 155 0.3× 108 0.3× 121 4.1k
Joseph A. Gally United States 22 787 0.9× 996 1.2× 1.4k 1.8× 209 0.5× 79 0.3× 25 3.7k
George N. Reeke United States 28 580 0.7× 868 1.0× 1.9k 2.4× 223 0.5× 57 0.2× 60 3.8k
Balázs Rózsa Hungary 25 1.9k 2.2× 1.1k 1.3× 817 1.0× 177 0.4× 460 1.5× 81 3.2k
Christian G. Specht France 28 1.3k 1.5× 206 0.2× 1.7k 2.2× 551 1.2× 447 1.4× 45 3.0k
Upinder S. Bhalla India 32 1.7k 2.0× 1.2k 1.4× 3.0k 3.8× 262 0.6× 385 1.2× 88 5.2k
Wei-Chung Allen Lee United States 21 1.6k 1.9× 1.1k 1.3× 753 1.0× 173 0.4× 624 2.0× 48 3.3k
Michinori Ichikawa Japan 18 895 1.1× 416 0.5× 825 1.1× 143 0.3× 273 0.9× 40 1.9k

Countries citing papers authored by Yu Mu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Mu. A scholar is included among the top collaborators of Yu Mu 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 Yu Mu. Yu Mu 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.
Zhang, Yuanjie, Zhiqian Chen, Xiaoyang Wang, et al.. (2024). Site-specific tethering nanobodies on recombinant adeno-associated virus vectors for retargeted gene therapy. Acta Biomaterialia. 187. 304–315. 2 indexed citations
2.
Cong, Lin, Zi‐Qi Shi, Yuchen Zhao, et al.. (2024). Volumetric voltage imaging of neuronal populations in the mouse brain by confocal light-field microscopy. Nature Methods. 21(11). 2160–2170. 5 indexed citations
3.
Mu, Yu, et al.. (2024). The YAP1-MAML2 fusion drives tumorigenesis and sustains tumor growth. PubMed. 32(4). 200900–200900.
4.
Mu, Yu, David A. Ruiz, Liu Leo Liu, et al.. (2024). Aromatic 1,4,2,3‐Diazadiborole Featuring an Unsymmetrical B=B Entity: A Versatile Synthon for Unusual Boron Heterocycles. Angewandte Chemie International Edition. 63(32). e202405905–e202405905. 7 indexed citations
5.
Zhang, Xinxin, Pengcheng Wang, Mingcang Wang, et al.. (2024). Unveiling tryptophan dynamics and functions across model organisms via quantitative imaging. BMC Biology. 22(1). 258–258. 2 indexed citations
7.
Li, Wenjun, et al.. (2023). Why does rangeland integration by transfer fail to overcome the tragedy of anticommons?. AMBIO. 52(10). 1676–1686. 4 indexed citations
8.
Johnson, Graham W., Yu Mu, Misha B. Ahrens, et al.. (2023). Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena. Cell Reports. 42(4). 112254–112254. 9 indexed citations
9.
Chen, Sifan, Xiaoyu Sun, Yizhe Zhang, Yu Mu, & Diansan Su. (2022). Habenula bibliometrics: Thematic development and research fronts of a resurgent field. Frontiers in Integrative Neuroscience. 16. 949162–949162. 3 indexed citations
10.
Vladimirov, Nikita, Chen Wang, Burkhard Höckendorf, et al.. (2018). Brain-wide circuit interrogation at the cellular level guided by online analysis of neuronal function. Nature Methods. 15(12). 1117–1125. 39 indexed citations
11.
Chen, Xiuye, Yu Mu, Yu Hu, et al.. (2018). Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish. Neuron. 100(4). 876–890.e5. 103 indexed citations
13.
Dunn, Timothy, Yu Mu, Sujatha Narayan, et al.. (2016). Brain-wide mapping of neural activity controlling zebrafish exploratory locomotion. eLife. 5. e12741–e12741. 181 indexed citations
14.
Pnevmatikakis, Eftychios A., Daniel Soudry, Yuanjun Gao, et al.. (2016). Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data. Neuron. 89(2). 285–299. 608 indexed citations breakdown →
15.
Mu, Yu, et al.. (2016). Peptide toxins and small-molecule blockers of BK channels. Acta Pharmacologica Sinica. 37(1). 56–66. 37 indexed citations
16.
Yao, Wei, Bo Zhang, Panli Zuo, et al.. (2011). Role of vesicle pools in action potential pattern‐dependent dopamine overflow in rat striatum in vivo. Journal of Neurochemistry. 119(2). 342–353. 19 indexed citations
17.
Han, Yanchao, Yu Mu, Xiaoquan Li, et al.. (2011). Grhl2 deficiency impairs otic development and hearing ability in a zebrafish model of the progressive dominant hearing loss DFNA28. Human Molecular Genetics. 20(16). 3213–3226. 62 indexed citations
18.
Mu, Yu, et al.. (2010). Pd(0)触媒によるπ-アリルパラジウム錯体を経るイソペンテニルベンズアミドの立体選択的分子内環化. Heterocycles. 81(2). 293–304. 1 indexed citations
19.
Yoshioka, Yasuo, Yasuo Tsutsumi, Yohei Mukai, et al.. (2004). Effective accumulation of poly(vinylpyrrolidone‐co‐vinyl laurate) into the spleen. Journal of Biomedical Materials Research Part A. 70A(2). 219–223. 11 indexed citations
20.
Maeda, Mitsuko, Koichi Kawasaki, Yoshihisa Kaneda, et al.. (1997). Amino Acids and Peptides. XXX. Preparation of Arg-Gly-Asp (RGD) Hybrids with Poly(Ethylene Glycol) Analogs and Their Antimetastatic Effect.. Chemical and Pharmaceutical Bulletin. 45(11). 1788–1792. 12 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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