Shengli Zhao

6.9k total citations
53 papers, 3.9k citations indexed

About

Shengli Zhao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Shengli Zhao has authored 53 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 12 papers in Cognitive Neuroscience. Recurrent topics in Shengli Zhao's work include Neuroscience and Neuropharmacology Research (15 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (8 papers). Shengli Zhao is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (8 papers). Shengli Zhao collaborates with scholars based in United States, China and Japan. Shengli Zhao's co-authors include Guoping Feng, Fan Wang, Tetsuro Izumi, Li Qiu, Toshiyuki Takeuchi, Minmin Luo, Jie Tan, Karl Deisseroth, Bao-Xia Han and Bernd Gloss and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shengli Zhao

51 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengli Zhao United States 31 1.5k 1.5k 932 761 503 53 3.9k
Masamichi Ohkura Japan 28 2.6k 1.7× 2.3k 1.6× 999 1.1× 547 0.7× 469 0.9× 66 5.2k
Seung Wook Oh United States 15 3.3k 2.1× 1.9k 1.3× 1.0k 1.1× 462 0.6× 438 0.9× 32 6.8k
Tobias M. Böckers Germany 36 1.3k 0.8× 1.0k 0.7× 355 0.4× 484 0.6× 473 0.9× 85 3.2k
YS Chan Hong Kong 35 1.1k 0.7× 1.8k 1.2× 893 1.0× 234 0.3× 238 0.5× 225 4.6k
Ji‐Eun Kim South Korea 41 3.2k 2.1× 2.5k 1.7× 449 0.5× 656 0.9× 348 0.7× 181 6.8k
Myriam Heiman United States 26 2.7k 1.8× 1.7k 1.1× 384 0.4× 654 0.9× 276 0.5× 36 5.4k
Amy Lee United States 43 3.9k 2.5× 3.4k 2.3× 582 0.6× 570 0.7× 289 0.6× 157 6.2k
Atsushi Yoshiki Japan 35 2.2k 1.5× 987 0.7× 434 0.5× 576 0.8× 188 0.4× 108 4.2k
Esther Asan Germany 34 1.5k 1.0× 2.2k 1.5× 567 0.6× 509 0.7× 117 0.2× 73 3.9k
Nicole Calakos United States 28 3.0k 1.9× 2.5k 1.7× 891 1.0× 2.4k 3.1× 401 0.8× 49 5.5k

Countries citing papers authored by Shengli Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shengli Zhao. A scholar is included among the top collaborators of Shengli Zhao 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 Shengli Zhao. Shengli Zhao 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.
Yang, Xiaolu, et al.. (2025). CellREADR: An ADAR-based RNA sensor-actuator device. Methods in enzymology on CD-ROM/Methods in enzymology. 710. 207–227.
2.
Russ, Jeffrey B., Yongjun Qian, Shengli Zhao, et al.. (2025). RNA-programmable cell-type monitoring and manipulation in the human cortex with CellREADR. Cell Reports. 44(8). 116037–116037.
3.
Raudales, Ricardo, Gukhan Kim, Sean M. Kelly, et al.. (2024). Specific and comprehensive genetic targeting reveals brain-wide distribution and synaptic input patterns of GABAergic axo-axonic interneurons. eLife. 13. 5 indexed citations
4.
Takatoh, Jun, et al.. (2024). Brainstem control of vocalization and its coordination with respiration. Science. 383(6687). eadi8081–eadi8081. 14 indexed citations
5.
Mohan, Hemanth, Xu An, Hideki Kondo, et al.. (2023). Cortical glutamatergic projection neuron types contribute to distinct functional subnetworks. Nature Neuroscience. 26(3). 481–494. 13 indexed citations
6.
Li, Haojin, Xinmei Liu, Tinghuan Yang, et al.. (2023). Flexible Large-Scale Self-Driven Perovskite X-ray Detector by Precise Heterogeneous Integration. ACS Energy Letters. 9(1). 64–74. 23 indexed citations
7.
Qian, Yongjun, Jiayun Li, Shengli Zhao, et al.. (2022). Programmable RNA sensing for cell monitoring and manipulation. Nature. 610(7933). 713–721. 66 indexed citations
8.
Chen, Bin, Dongye Lu, Katsuyasu Sakurai, et al.. (2020). General anesthetics activate a potent central pain-suppression circuit in the amygdala. Nature Neuroscience. 23(7). 854–868. 98 indexed citations
9.
Rodriguez, Erica, et al.. (2019). Identifying Parabrachial Neurons Selectively Regulating Satiety for Highly Palatable Food in Mice. eNeuro. 6(6). ENEURO.0252–19.2019. 13 indexed citations
10.
Wang, Jiangbo, Xiu-Rong Ren, Hailan Piao, et al.. (2019). Niclosamide-induced Wnt signaling inhibition in colorectal cancer is mediated by autophagy. Biochemical Journal. 476(3). 535–546. 57 indexed citations
11.
Rodriguez, Erica, Katsuyasu Sakurai, Yong Chen, et al.. (2017). A craniofacial-specific monosynaptic circuit enables heightened affective pain. Nature Neuroscience. 20(12). 1734–1743. 133 indexed citations
12.
Stanek, Edward J., et al.. (2016). Supratrigeminal Bilaterally Projecting Neurons Maintain Basal Tone and Enable Bilateral Phasic Activation of Jaw-Closing Muscles. Journal of Neuroscience. 36(29). 7663–7675. 16 indexed citations
13.
Zhang, Yi, Shengli Zhao, Erica Rodriguez, et al.. (2015). Identifying local and descending inputs for primary sensory neurons. Journal of Clinical Investigation. 125(10). 3782–3794. 88 indexed citations
14.
Wang, Jiangbo, Jiuyi Lü, Robert A. Mook, et al.. (2012). The Insecticide Synergist Piperonyl Butoxide Inhibits Hedgehog Signaling: Assessing Chemical Risks. Toxicological Sciences. 128(2). 517–523. 28 indexed citations
15.
Zhao, Shengli, Jonathan T. Ting, Li Qiu, et al.. (2011). Cell-type Specific Optogenetic Mice for Dissecting Neural Circuitry Function. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
16.
Zhao, Shengli, Yang Zhou, Pei Miao, et al.. (2010). Fluorescent Labeling of Newborn Dentate Granule Cells in GAD67-GFP Transgenic Mice: A Genetic Tool for the Study of Adult Neurogenesis. PLoS ONE. 5(9). e12506–e12506. 34 indexed citations
17.
Zhao, Shengli, Catarina Cunha, Feng Zhang, et al.. (2008). Improved expression of halorhodopsin for light-induced silencing of neuronal activity. PubMed. 36(1-4). 141–154. 135 indexed citations
18.
Kasai, Kazuo, Mica Ohara‐Imaizumi, Noriko Takahashi, et al.. (2005). Rab27a mediates the tight docking of insulin granules onto the plasma membrane during glucose stimulation. Journal of Clinical Investigation. 115(2). 388–396. 131 indexed citations
19.
Kasai, Kazuo, Mica Ohara‐Imaizumi, Noriko Takahashi, et al.. (2005). Rab27a mediates the tight docking of insulin granules onto the plasma membrane during glucose stimulation. Journal of Clinical Investigation. 115(2). 388–396. 141 indexed citations
20.
Zhao, Shengli. (2002). Involvement of Rab27b in the Regulated Secretion of Pituitary Hormones. Endocrinology. 143(5). 1817–1824. 14 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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