Ya Luo

633 total citations
22 papers, 449 citations indexed

About

Ya Luo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ya Luo has authored 22 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ya Luo's work include Functional Brain Connectivity Studies (9 papers), Neural and Behavioral Psychology Studies (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Ya Luo is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Neural and Behavioral Psychology Studies (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Ya Luo collaborates with scholars based in China, United States and United Kingdom. Ya Luo's co-authors include Xiuli Wang, Xun Yang, Qiyong Gong, Bochao Cheng, Jianguang Zeng, Jie Yu, Xiaoqi Huang, Salman Azhar, Song Wang and Youjin Zhao and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Ya Luo

22 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya Luo China 13 212 103 77 50 49 22 449
Cancan He China 15 278 1.3× 156 1.5× 66 0.9× 83 1.7× 144 2.9× 30 616
Laura M. Hack United States 11 131 0.6× 76 0.7× 48 0.6× 24 0.5× 89 1.8× 31 436
Ena Španić Croatia 8 103 0.5× 49 0.5× 38 0.5× 10 0.2× 66 1.3× 9 448
Ray G. Hoffmann United States 5 212 1.0× 44 0.4× 55 0.7× 34 0.7× 82 1.7× 8 455
Regan Patrick United States 10 104 0.5× 40 0.4× 127 1.6× 22 0.4× 64 1.3× 38 453
Erdal Işık Türkiye 8 108 0.5× 80 0.8× 65 0.8× 10 0.2× 56 1.1× 13 340
Qinyu Lv China 14 93 0.4× 74 0.7× 187 2.4× 13 0.3× 110 2.2× 35 449
Jing Shi China 12 100 0.5× 36 0.3× 113 1.5× 28 0.6× 132 2.7× 42 435
Carol Tamminga United States 9 127 0.6× 45 0.4× 184 2.4× 49 1.0× 94 1.9× 13 582

Countries citing papers authored by Ya Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ya Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Luo. A scholar is included among the top collaborators of Ya Luo 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 Ya Luo. Ya Luo 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.
Zeng, Jianguang, et al.. (2023). A meta‐analysis of the neural substrates of monetary reward anticipation and outcome in alcohol use disorder. Human Brain Mapping. 44(7). 2841–2861. 12 indexed citations
2.
Zeng, Jianguang, et al.. (2023). The differential neural substrates for reward choice under gain-loss contexts and risk in alcohol use disorder: Evidence from a voxel-based meta-analysis. Drug and Alcohol Dependence. 248. 109912–109912. 5 indexed citations
3.
Zeng, Jianguang, et al.. (2023). A Meta-Analysis of Neural Correlates of Reward Anticipation in Individuals at Clinical Risk for Schizophrenia. The International Journal of Neuropsychopharmacology. 26(4). 280–293. 3 indexed citations
4.
Yu, Jie, et al.. (2023). Role and mechanism of MiR-542-3p in regulating TLR4 in nonylphenol-induced neuronal cell pyroptosis. Phytomedicine. 123. 155123–155123. 2 indexed citations
5.
Yang, Xun, et al.. (2022). Neurofunctional mapping of reward anticipation and outcome for major depressive disorder: a voxel-based meta-analysis. Psychological Medicine. 52(15). 3309–3322. 30 indexed citations
6.
Zeng, Jianguang, et al.. (2022). Neural substrates of reward anticipation and outcome in schizophrenia: a meta-analysis of fMRI findings in the monetary incentive delay task. Translational Psychiatry. 12(1). 448–448. 41 indexed citations
7.
Cheng, Bochao, Yajing Meng, Jinrong Li, et al.. (2021). Cerebral Regional Homogeneity Alternation of Pregnant Women With Antenatal Depression During the Pandemic. Frontiers in Psychiatry. 12. 627871–627871. 1 indexed citations
8.
Wang, Xiuli, Bochao Cheng, Neil Roberts, et al.. (2021). Shared and distinct brain fMRI response during performance of working memory tasks in adult patients with schizophrenia and major depressive disorder. Human Brain Mapping. 42(16). 5458–5476. 39 indexed citations
9.
Luo, Ya, et al.. (2020). Toxic effects of perinatal maternal exposure to nonylphenol on lung inflammation in male offspring rats. The Science of The Total Environment. 737. 139238–139238. 14 indexed citations
10.
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12.
Xu, Weihong, et al.. (2019). Dynamic monitoring of depressive behavior induced by nonylphenol and its effect on synaptic plasticity in rats. The Science of The Total Environment. 689. 1012–1022. 29 indexed citations
13.
Liu, Jia, Xin Xu, Qiang Luo, et al.. (2017). Brain grey matter volume alterations associated with antidepressant response in major depressive disorder. Scientific Reports. 7(1). 10464–10464. 26 indexed citations
14.
Zhang, Bin-Bin, Wenkai Li, Ya Luo, et al.. (2017). Zuotai and HgS differ from HgCl2 and methyl mercury in Hg accumulation and toxicity in weanling and aged rats. Toxicology and Applied Pharmacology. 331. 76–84. 22 indexed citations
15.
Yu, Jie, Xuesong Yang, Ya Luo, et al.. (2017). Adverse effects of chronic exposure to nonylphenol on non-alcoholic fatty liver disease in male rats. PLoS ONE. 12(7). e0180218–e0180218. 16 indexed citations
16.
Cheng, Bochao, Xiaoqi Huang, Shiguang Li, et al.. (2015). Gray Matter Alterations in Post-Traumatic Stress Disorder, Obsessive–Compulsive Disorder, and Social Anxiety Disorder. Frontiers in Behavioral Neuroscience. 9. 219–219. 40 indexed citations
17.
Wang, Xiuli, Mingying Du, Ching‐Po Lin, et al.. (2014). Neural correlates during working memory processing in major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 56. 101–108. 71 indexed citations
18.
Leers‐Sucheta, Susan, et al.. (2002). Age-dependent modulation of NF-κB expression in rat adrenal gland. Mechanisms of Ageing and Development. 123(9). 1211–1227. 8 indexed citations
19.
Leers‐Sucheta, Susan, et al.. (2001). Impaired activation of AP-1 and altered expression of constituent proteins in rat adrenal during ageing. Mechanisms of Ageing and Development. 122(11). 1169–1186. 16 indexed citations
20.
Azhar, Salman, Ya Luo, Satyanarayana Medicherla, & Eve Reaven. (1999). Upregulation of selective cholesteryl ester uptake pathway in mice with deletion of low-density lipoprotein receptor function. Journal of Cellular Physiology. 180(2). 190–202. 29 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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