Lu Zhao

2.0k total citations
48 papers, 1.3k citations indexed

About

Lu Zhao is a scholar working on Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lu Zhao has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 12 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lu Zhao's work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Hemispheric Asymmetry in Neuroscience (5 papers). Lu Zhao is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Hemispheric Asymmetry in Neuroscience (5 papers). Lu Zhao collaborates with scholars based in China, United States and Canada. Lu Zhao's co-authors include Arthur W. Toga, William Matloff, Kaida Ning, Alan C. Evans, Fengzhu Sun, Budhachandra Khundrakpam, Hosung Kim, John D. Lewis, François Chouinard-Decorte and Yonggang Shi and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Lu Zhao

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Zhao China 23 414 271 238 176 111 48 1.3k
Frauke Beyer Germany 19 438 1.1× 255 0.9× 92 0.4× 179 1.0× 95 0.9× 45 1.2k
Katharina Wittfeld Germany 20 359 0.9× 135 0.5× 187 0.8× 249 1.4× 89 0.8× 53 1.3k
AmanPreet Badhwar Canada 18 430 1.0× 231 0.9× 266 1.1× 259 1.5× 134 1.2× 55 1.2k
Maria A. Di Biase Australia 19 561 1.4× 469 1.7× 132 0.6× 294 1.7× 181 1.6× 47 1.3k
Hieab H.H. Adams Netherlands 23 259 0.6× 228 0.8× 211 0.9× 274 1.6× 176 1.6× 69 1.5k
Yuan Shen China 30 282 0.7× 257 0.9× 409 1.7× 273 1.6× 209 1.9× 98 2.4k
Leonie Lampe Germany 19 510 1.2× 394 1.5× 110 0.5× 241 1.4× 176 1.6× 33 1.3k
Tristram A. Lett Germany 17 406 1.0× 155 0.6× 254 1.1× 373 2.1× 94 0.8× 28 1.2k
Sana Suri United Kingdom 22 536 1.3× 457 1.7× 130 0.5× 437 2.5× 171 1.5× 58 1.6k

Countries citing papers authored by Lu Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lu Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Zhao. A scholar is included among the top collaborators of Lu 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 Lu Zhao. Lu 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
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Ning, Kaida, Ben A. Duffy, Meredith Franklin, et al.. (2021). Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging. Neurobiology of Aging. 105. 199–204. 19 indexed citations
4.
Zhao, Lu, William Matloff, Yonggang Shi, Ryan P. Cabeen, & Arthur W. Toga. (2021). Mapping Complex Brain Torque Components and Their Genetic Architecture and Phenomic Associations in 24,112 Individuals. Biological Psychiatry. 91(8). 753–768. 17 indexed citations
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Ning, Kaida, Lu Zhao, Meredith Franklin, et al.. (2020). Parity is associated with cognitive function and brain age in both females and males. Scientific Reports. 10(1). 6100–6100. 47 indexed citations
7.
Tang, Fu‐Lei, Lu Zhao, Yang Zhao, et al.. (2020). Coupling of terminal differentiation deficit with neurodegenerative pathology in Vps35-deficient pyramidal neurons. Cell Death and Differentiation. 27(7). 2099–2116. 31 indexed citations
8.
Matloff, William, Lu Zhao, Kaida Ning, David V. Conti, & Arthur W. Toga. (2019). Interaction effect of alcohol consumption and Alzheimer disease polygenic risk score on the brain cortical thickness of cognitively normal subjects. Alcohol. 85. 1–12. 9 indexed citations
9.
Zhao, Lu, et al.. (2019). Brain asymmetry differences between Chinese and Caucasian populations: a surface-based morphometric comparison study. Brain Imaging and Behavior. 14(6). 2323–2332. 11 indexed citations
10.
Kim, Hosung, Andrei Irimia, Ben A. Duffy, et al.. (2019). The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. Frontiers in Neuroinformatics. 13. 60–60. 26 indexed citations
11.
Zhao, Lu, William Matloff, Kaida Ning, et al.. (2018). Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults. Cerebral Cortex. 29(10). 4169–4193. 48 indexed citations
12.
Zhang, Yuanchao, Lu Zhao, Yue Wang, et al.. (2016). Effects of Long-term Diving Training on Cortical Gyrification. Scientific Reports. 6(1). 28243–28243. 10 indexed citations
13.
Khundrakpam, Budhachandra, John D. Lewis, Andrew Reid, et al.. (2016). Imaging structural covariance in the development of intelligence. NeuroImage. 144(Pt A). 227–240. 44 indexed citations
14.
Xiao, Min, Haitao Ge, Budhachandra Khundrakpam, et al.. (2016). Attention Performance Measured by Attention Network Test Is Correlated with Global and Regional Efficiency of Structural Brain Networks. Frontiers in Behavioral Neuroscience. 10. 194–194. 32 indexed citations
15.
Zhao, Lu, Min Guan, Xiaobo Zhu, et al.. (2015). Aberrant Topological Patterns of Structural Cortical Networks in Psychogenic Erectile Dysfunction. Frontiers in Human Neuroscience. 9. 675–675. 19 indexed citations
16.
Duan, Xiaoxu, Jin‐Long Li, Yang Zhang, et al.. (2015). Activation of NRF2 pathway in spleen, thymus as well as peripheral blood mononuclear cells by acute arsenic exposure in mice. International Immunopharmacology. 28(2). 1059–1067. 22 indexed citations
17.
Pepe, Antonietta, Lu Zhao, Juha Koikkalainen, et al.. (2013). Automatic statistical shape analysis of cerebral asymmetry in 3D T1-weighted magnetic resonance images at vertex-level: Application to neuroleptic-naïve schizophrenia. Magnetic Resonance Imaging. 31(5). 676–687. 15 indexed citations
18.
Wang, Ying, Lu Zhao, Yin Wang, et al.. (2012). Curculigoside isolated from <italic>Curculigo orchioides</italic> prevents hydrogen peroxide-induced dysfunction and oxidative damage in calvarial osteoblasts. Acta Biochimica et Biophysica Sinica. 44(5). 431–441. 45 indexed citations
19.
Yin, Xuntao, Lu Zhao, Junhai Xu, et al.. (2012). Anatomical Substrates of the Alerting, Orienting and Executive Control Components of Attention: Focus on the Posterior Parietal Lobe. PLoS ONE. 7(11). e50590–e50590. 52 indexed citations
20.
Zhao, Lu, Jarmo Hietala, & Jussi Tohka. (2009). Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI. Lecture notes in computer science. 12(Pt 2). 216–223. 8 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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