Min Zhao

12.4k total citations · 3 hit papers
176 papers, 9.4k citations indexed

About

Min Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Min Zhao has authored 176 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 73 papers in Cellular and Molecular Neuroscience and 59 papers in Plant Science. Recurrent topics in Min Zhao's work include Planarian Biology and Electrostimulation (114 papers), Neuroscience and Neural Engineering (68 papers) and Plant and Biological Electrophysiology Studies (59 papers). Min Zhao is often cited by papers focused on Planarian Biology and Electrostimulation (114 papers), Neuroscience and Neural Engineering (68 papers) and Plant and Biological Electrophysiology Studies (59 papers). Min Zhao collaborates with scholars based in United States, China and United Kingdom. Min Zhao's co-authors include Colin McCaig, John V. Forrester, Bing Song, Brian Reid, Jin Pu, Ann M. Rajnicek, Entong Wang, Huai Bai, Guangping Tai and Yu Gu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Min Zhao

168 papers receiving 9.3k citations

Hit Papers

Electrical signals contro... 2005 2026 2012 2019 2006 2005 2008 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Min Zhao 6.2k 3.7k 2.8k 2.2k 1.3k 176 9.4k
Richard Nuccitelli 4.5k 0.7× 2.2k 0.6× 2.1k 0.8× 1.8k 0.8× 457 0.4× 134 8.8k
Bing Song 3.2k 0.5× 1.7k 0.5× 1.5k 0.5× 915 0.4× 521 0.4× 115 5.6k
Brian Reid 2.2k 0.3× 1.1k 0.3× 827 0.3× 964 0.4× 480 0.4× 63 3.4k
Juan Carlos Izpisúa Belmonte 22.9k 3.7× 1.4k 0.4× 2.0k 0.7× 509 0.2× 258 0.2× 358 28.2k
Richard B. Borgens 2.2k 0.4× 2.6k 0.7× 924 0.3× 582 0.3× 195 0.2× 109 5.6k
Stefano Piccolo 18.3k 2.9× 1.3k 0.4× 1.9k 0.7× 805 0.4× 266 0.2× 99 28.7k
Malcolm Maden 8.9k 1.4× 1.7k 0.5× 197 0.1× 239 0.1× 549 0.4× 195 11.5k
Ann M. Rajnicek 1.5k 0.2× 1.5k 0.4× 942 0.3× 499 0.2× 158 0.1× 40 3.1k
Jeremy P. Brockes 6.7k 1.1× 2.5k 0.7× 214 0.1× 212 0.1× 318 0.3× 128 9.7k
Jin Pu 1.7k 0.3× 897 0.2× 622 0.2× 512 0.2× 316 0.3× 34 2.5k

Countries citing papers authored by Min Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Min Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Min Zhao. A scholar is included among the top collaborators of Min 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 Min Zhao. Min 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, Hsin‐ya, Moyasar A. Alhamo, Kan Zhu, et al.. (2025). A high-resolution temporal transcriptomic and imaging dataset of porcine wound healing. Scientific Data. 12(1). 1635–1635.
2.
Zhou, Yuhan, Min Zhao, Haifeng Wang, et al.. (2025). Research on the construction of high-stability O3-type sodium-ion battery cathode materials via B-Co doping based on solid solutions. Chemical Engineering Journal. 512. 161943–161943. 3 indexed citations
4.
Huang, Shiwen, et al.. (2024). New Opportunities for Electric Fields in Promoting Wound Healing: Collective Electrotaxis. Advances in Wound Care. 14(8). 418–428. 5 indexed citations
5.
Zhao, Min, Yan Wang, Yan Wang, et al.. (2024). PO43--doped layer @ spinel @ rGO sandwich-structured lithium-rich manganese-based cathode material with enhancing rate capability and cycle stability for Li-ion battery. Journal of Alloys and Compounds. 983. 173822–173822. 9 indexed citations
6.
Brown, Chelsea R., et al.. (2023). Optic Fiber Microsensor Reveals Specific Spatiotemporal Oxygen Uptake Profiles at the Mammalian Ocular Surface. Biosensors. 13(2). 245–245. 1 indexed citations
7.
Shan, Shengzhou, Jiahao He, Kan Zhu, et al.. (2023). Dynamics of cutaneous atmospheric oxygen uptake in response to mechanical stretch revealed by optical fiber microsensor. Experimental Dermatology. 32(12). 2112–2120. 3 indexed citations
8.
Zhu, Kan, et al.. (2023). Reducing Sialylation Enhances Electrotaxis of Corneal Epithelial Cells. International Journal of Molecular Sciences. 24(18). 14327–14327. 1 indexed citations
9.
Xu, Guoqing, Jiandong Wu, Rachel Lee, et al.. (2022). Propagation dynamics of electrotactic motility in large epithelial cell sheets. iScience. 25(10). 105136–105136. 7 indexed citations
10.
Getschman, Anthony E., Samuel Hwang, Brian F. Volkman, et al.. (2021). Investigations on T cell transmigration in a human skin-on-chip (SoC) model. Lab on a Chip. 21(8). 1527–1539. 40 indexed citations
11.
Luxardi, Guillaume, et al.. (2020). Real-time physiological measurements of oxygen using a non-invasive self-referencing optical fiber microsensor. Nature Protocols. 15(2). 207–235. 25 indexed citations
12.
Gokoffski, Kimberly K. & Min Zhao. (2019). Electical Fields Direct Retinal Ganglion Cell Axon Growth. Investigative Ophthalmology & Visual Science. 60(9). 644–644. 1 indexed citations
13.
Raghunathan, Vijay Krishna, et al.. (2018). Early redox activities modulate Xenopus tail regeneration. Nature Communications. 9(1). 4296–4296. 65 indexed citations
14.
Zhang, Yan, Guoqing Xu, Rachel Lee, et al.. (2017). Collective cell migration has distinct directionality and speed dynamics. Cellular and Molecular Life Sciences. 74(20). 3841–3850. 31 indexed citations
15.
Gao, Jing, Vijay Krishna Raghunathan, Brian Reid, et al.. (2014). Biomimetic stochastic topography and electric fields synergistically enhance directional migration of corneal epithelial cells in a MMP-3-dependent manner. Acta Biomaterialia. 12. 102–112. 22 indexed citations
16.
Cao, Lin, Dongguang Wei, Brian Reid, et al.. (2013). Endogenous electric currents might guide rostral migration of neuroblasts. EMBO Reports. 14(2). 184–190. 82 indexed citations
17.
Reid, Brian & Min Zhao. (2013). The Electrical Response to Injury: Molecular Mechanisms and Wound Healing. Advances in Wound Care. 3(2). 184–201. 134 indexed citations
18.
Sun, Xiaoyan, et al.. (2012). A Molecular Link Between Interleukin 22 and Intestinal Mucosal Wound Healing. Advances in Wound Care. 1(6). 231–237. 5 indexed citations
19.
Zhao, Min, et al.. (2009). Down-Regulation of Pten Accelerates Corneal Wound Healing Through Increased Cell Migration. Investigative Ophthalmology & Visual Science. 50(13). 3493–3493. 1 indexed citations
20.
Pu, Jin & Min Zhao. (2005). Golgi polarization in a strong electric field. Journal of Cell Science. 118(6). 1117–1128. 63 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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