Xiaoping Rao

421 total citations
21 papers, 293 citations indexed

About

Xiaoping Rao is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Xiaoping Rao has authored 21 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Sensory Systems and 7 papers in Nutrition and Dietetics. Recurrent topics in Xiaoping Rao's work include Olfactory and Sensory Function Studies (10 papers), Neurobiology and Insect Physiology Research (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). Xiaoping Rao is often cited by papers focused on Olfactory and Sensory Function Studies (10 papers), Neurobiology and Insect Physiology Research (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). Xiaoping Rao collaborates with scholars based in China, United States and Singapore. Xiaoping Rao's co-authors include Fuqiang Xu, Jie Wang, Nan Wu, Yunling Gao, Anan Li, Yang Zhou, Xiaobin He, Diego Restrepo, Zhijian Zhang and Ronghui Li and has published in prestigious journals such as PLoS ONE, eLife and International Journal of Biological Macromolecules.

In The Last Decade

Xiaoping Rao

21 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Rao China 8 140 120 64 58 39 21 293
Marley D. Kass United States 10 218 1.6× 189 1.6× 118 1.8× 61 1.1× 32 0.8× 12 371
Jordan M. Ross United States 10 96 0.7× 124 1.0× 36 0.6× 122 2.1× 31 0.8× 15 265
Joseph Pottackal United States 9 139 1.0× 189 1.6× 99 1.5× 84 1.4× 70 1.8× 10 328
Sébastien Wagner France 5 163 1.2× 107 0.9× 43 0.7× 47 0.8× 112 2.9× 6 415
Narendra R. Joshi United States 7 147 1.1× 73 0.6× 151 2.4× 40 0.7× 60 1.5× 10 428
Tomohiko Matsuo Japan 6 174 1.2× 197 1.6× 119 1.9× 79 1.4× 38 1.0× 9 343
Melissa S. Haley United States 6 56 0.4× 136 1.1× 65 1.0× 136 2.3× 45 1.2× 7 269
Matthew Geramita United States 11 104 0.7× 239 2.0× 54 0.8× 172 3.0× 60 1.5× 15 406
Thomas G. Mast United States 9 145 1.0× 142 1.2× 125 2.0× 14 0.2× 88 2.3× 18 414
Yusuke Tsuno Japan 10 119 0.8× 204 1.7× 44 0.7× 131 2.3× 30 0.8× 20 319

Countries citing papers authored by Xiaoping Rao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Rao. A scholar is included among the top collaborators of Xiaoping Rao 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 Xiaoping Rao. Xiaoping Rao 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.
Zhang, Liangliang, Dahai Jiang, Zhijie Xiao, et al.. (2025). Condensed tannin ameliorates intestinal damage and mitochondrial dysfunction induced by high-fat diets in largemouth bass (Micropterus salmoides). International Journal of Biological Macromolecules. 311(Pt 2). 143642–143642. 2 indexed citations
2.
Rao, Xiaoping, et al.. (2023). Detection of a temporal salient object benefits from visual stimulus‐specific adaptation in avian midbrain inhibitory nucleus. Integrative Zoology. 19(2). 288–306. 1 indexed citations
3.
Wu, Junfang, et al.. (2023). Gut microbiome and metabolic profiles of mouse model for MeCP2 duplication syndrome. Brain Research Bulletin. 206. 110862–110862. 2 indexed citations
4.
Rao, Xiaoping, et al.. (2023). Effect of electroacupuncture at ST36 on the cerebral metabolic kinetics of rheumatoid arthritis rats. Brain Research Bulletin. 201. 110700–110700. 3 indexed citations
5.
Liu, Ruiqing, et al.. (2022). Murine Motion Behavior Recognition Based on DeepLabCut and Convolutional Long Short-Term Memory Network. Symmetry. 14(7). 1340–1340. 6 indexed citations
6.
Chen, Liwei, et al.. (2022). Method for counting labeled neurons in mouse brain regions based on image representation and registration. Medical & Biological Engineering & Computing. 60(2). 487–500. 2 indexed citations
7.
Rao, Xiaoping, Huadong Wang, Yanli Ren, et al.. (2021). Neuropeptide S Attenuates the Alarm Pheromone-Evoked Defensive and Risk Assessment Behaviors Through Activation of Cognate Receptor-Expressing Neurons in the Posterior Medial Amygdala. Frontiers in Molecular Neuroscience. 14. 752516–752516. 3 indexed citations
8.
Zheng, Ning, Zhizhong Wang, Lü Chen, et al.. (2020). Co-localization of two-color rAAV2-retro confirms the dispersion characteristics of efferent projections of mitral cells in mouse accessory olfactory bulb. 动物学研究. 41(2). 148–156. 6 indexed citations
9.
Rao, Xiaoping, et al.. (2020). Neuronal Network Dissection with Neurotropic Virus Tracing. Neuroscience Bulletin. 36(3). 199–201. 7 indexed citations
10.
11.
Wu, Hao, et al.. (2019). Repeated fluoxetine treatment induces long-lasting neurotrophic changes in the medial prefrontal cortex of adult rats. Behavioural Brain Research. 365. 114–124. 28 indexed citations
12.
Li, Anan, Xiaoping Rao, Yang Zhou, & Diego Restrepo. (2019). Complex neural representation of odour information in the olfactory bulb. Acta Physiologica. 228(1). e13333–e13333. 33 indexed citations
13.
Yang, Jingyu, Dandan Sun, Jia Duan, et al.. (2019). Elevated glutamate, glutamine and GABA levels and reduced taurine level in a schizophrenia model using an in vitro proton nuclear magnetic resonance method.. PubMed. 11(9). 5919–5931. 10 indexed citations
15.
Zhang, Zhijian, Qing Liu, Jiaozhen Zhang, et al.. (2017). Activation of the dopaminergic pathway from VTA to the medial olfactory tubercle generates odor-preference and reward. eLife. 6. 70 indexed citations
16.
Zeng, Hao‐Long, Xiaoping Rao, Leike Zhang, et al.. (2014). Quantitative proteomics reveals olfactory input-dependent alterations in the mouse olfactory bulb proteome. Journal of Proteomics. 109. 125–142. 11 indexed citations
17.
Xu, Haifei, Li Wang, Guo Chen, Xiaoping Rao, & Fuqiang Xu. (2013). Roles of GSK3β in Odor Habituation and Spontaneous Neural Activity of the Mouse Olfactory Bulb. PLoS ONE. 8(5). e63598–e63598. 4 indexed citations
18.
Rao, Xiaoping, Haifei Xu, & Fuqiang Xu. (2013). Progress in activity-dependent structural plasticity of neural circuits in cortex. Zoological Research. 33(5). 527–536. 1 indexed citations
19.
Wu, Nan, Xiaoping Rao, Yunling Gao, Jie Wang, & Fuqiang Xu. (2013). Amyloid-β Deposition and Olfactory Dysfunction in an Alzheimer's Disease Model. Journal of Alzheimer s Disease. 37(4). 699–712. 67 indexed citations
20.
Cui, Yanjie, Xiaoping Rao, Shibin Shang, Jie Song, & Yanqing Gao. (2012). Synthesis and Antibacterial Activity of Oxime Ester Derivatives from Dehydroabietic Acid. Letters in Drug Design & Discovery. 10(2). 102–110. 2 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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