Ting Zhao

4.9k total citations
52 papers, 1.2k citations indexed

About

Ting Zhao is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cognitive Neuroscience. According to data from OpenAlex, Ting Zhao has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 14 papers in Biophysics and 12 papers in Cognitive Neuroscience. Recurrent topics in Ting Zhao's work include Cell Image Analysis Techniques (14 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Ting Zhao is often cited by papers focused on Cell Image Analysis Techniques (14 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). Ting Zhao collaborates with scholars based in China, United States and South Korea. Ting Zhao's co-authors include Jinhyun Kim, Linqing Feng, Jeffrey C. Magee, Eugene W. Myers, Yang Yu, Ronald S. Petralia, Fuhui Long, Shaul Druckmann, Bokyoung Lee and Jun Xie and has published in prestigious journals such as Nature Communications, Neuron and Bioinformatics.

In The Last Decade

Ting Zhao

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Zhao China	17	436	408	325	298	166	52	1.2k
John M. Mendenhall United States	16	395 0.9×	239 0.6×	222 0.7×	497 1.7×	64 0.4×	22	1.4k
Min Fu China	19	419 1.0×	154 0.4×	322 1.0×	392 1.3×	168 1.0×	67	1.7k
Robert C. Cannon United Kingdom	17	408 0.9×	293 0.7×	580 1.8×	413 1.4×	36 0.2×	39	1.1k
Qingtao Sun China	12	348 0.8×	290 0.7×	318 1.0×	283 0.9×	47 0.3×	21	926
Xiaoli Qi China	27	408 0.9×	218 0.5×	102 0.3×	809 2.7×	38 0.2×	83	2.3k
Zhen Qiu China	11	201 0.5×	109 0.3×	98 0.3×	201 0.7×	37 0.2×	39	658
Yalun Zhang China	16	246 0.6×	174 0.4×	202 0.6×	336 1.1×	42 0.3×	38	1.2k
Dimiter Prodanov Belgium	17	387 0.9×	80 0.2×	145 0.4×	140 0.5×	34 0.2×	61	931
Pierre Yger France	16	470 1.1×	38 0.1×	650 2.0×	92 0.3×	86 0.5×	39	1.1k

Countries citing papers authored by Ting Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Ting Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Zhao

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

All Works

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20 of 20 papers shown

Li, Yixuan, Qi Sheng, Jiayao Li, et al.. (2024). Sarcopenia is a prognostic factor in lymphoma patients: a systematic review and meta-analysis. Leukemia & lymphoma. 65(11). 1595–1608. 3 indexed citations

Chen, Qian, Caixia Fu, Xuefeng Qiu, et al.. (2023). Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion. Clinical Radiology. 79(1). e26–e33. 3 indexed citations

Xu, Jikai, Jingyu Liu, Qing Li, et al.. (2023). Pterostilbene participates in TLR4- mediated inflammatory response and autophagy-dependent Aβ1–42 endocytosis in Alzheimer's disease. Phytomedicine. 119. 155011–155011. 16 indexed citations

Liu, Huihui, Hongchao Liu, Lei Song, et al.. (2023). Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform. Nature Communications. 14(1). 3085–3085. 12 indexed citations

Li, Xin, et al.. (2020). [Grey correlation analysis and path analysis between isoflavones content in Astragali Radix and climate factors].. PubMed. 45(14). 3407–3413. 1 indexed citations

Li, Kun, et al.. (2019). A Neuronal Pathway that Commands Deceleration in Drosophila Larval Light-Avoidance. Neuroscience Bulletin. 35(6). 959–968. 3 indexed citations

Jin, Dezhe Z., et al.. (2019). ShuTu: Open-Source Software for Efficient and Accurate Reconstruction of Dendritic Morphology. Frontiers in Neuroinformatics. 13. 68–68. 11 indexed citations

Xi, Yanhui, Xin Tang, Ting Zhao, et al.. (2019). Harmonic estimation in power systems using an optimised adaptive Kalman filter based on PSO‐GA. IET Generation Transmission & Distribution. 13(17). 3968–3979. 23 indexed citations

Zhou, Zhi, et al.. (2017). Automatic tracing of ultra-volumes of neuronal images. Nature Methods. 14(4). 332–333. 53 indexed citations

10.

Zhao, Ting, Keon Sung Shin, Hyun Jin Park, et al.. (2016). Gynostemma pentaphyllum Ethanolic Extract Protects Against Memory Deficits in an MPTP-Lesioned Mouse Model of Parkinson's Disease Treated with L-DOPA. Journal of Medicinal Food. 20(1). 11–18. 13 indexed citations

11.

Feng, Linqing, Ting Zhao, & Jinhyun Kim. (2015). neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format. eNeuro. 2(1). ENEURO.0049–14.2014. 182 indexed citations

12.

Feng, Linqing, Ting Zhao, & Jong Hak Kim. (2015). neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format. eNeuro. 2(1). 11 indexed citations

13.

Hu, Xiaoling, Yiwen Wang, Ting Zhao, & Aysegul Gunduz. (2014). Neural Coding for Effective Rehabilitation. BioMed Research International. 2014. 1–17. 2 indexed citations

14.

Druckmann, Shaul, Linqing Feng, Bokyoung Lee, et al.. (2014). Structured Synaptic Connectivity between Hippocampal Regions. Neuron. 81(3). 629–640. 138 indexed citations

15.

Liu, Yun‐Zi, Ji‐Kuai Chen, Zhangpeng Li, et al.. (2014). High-salt diet enhances hippocampal oxidative stress and cognitive impairment in mice. Neurobiology of Learning and Memory. 114. 10–15. 48 indexed citations

16.

Zhang, Qiaosheng, Shaomin Zhang, Yaoyao Hao, et al.. (2012). Development of an invasive brain-machine interface with a monkey model. Chinese Science Bulletin. 57(16). 2036–2045. 13 indexed citations

17.

Wang, Dong, Yaoyao Hao, Xiaoping Zhu, et al.. (2011). FPGA implementation of hardware processing modules as coprocessors in brain-machine interfaces. PubMed. 2011. 4613–4616. 10 indexed citations

18.

Jiang, Bo, Rui Wang, Qiaosheng Zhang, et al.. (2011). A pilot study on two stage decoding strategies. PubMed. 408. 3700–3703. 1 indexed citations

19.

Zhao, Ting, Jun Xie, Fernando Amat, et al.. (2011). Automated Reconstruction of Neuronal Morphology Based on Local Geometrical and Global Structural Models. Neuroinformatics. 9(2-3). 247–261. 89 indexed citations

20.

Ning, Gangmin, et al.. (2003). Method of normal estimation based on approximation for visualization. Journal of Electronic Imaging. 12(3). 470–470. 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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