Huiling Wang

7.1k total citations
131 papers, 4.2k citations indexed

About

Huiling Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Huiling Wang has authored 131 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 36 papers in Cellular and Molecular Neuroscience and 24 papers in Behavioral Neuroscience. Recurrent topics in Huiling Wang's work include Functional Brain Connectivity Studies (27 papers), Stress Responses and Cortisol (24 papers) and Neuroscience and Neuropharmacology Research (24 papers). Huiling Wang is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Stress Responses and Cortisol (24 papers) and Neuroscience and Neuropharmacology Research (24 papers). Huiling Wang collaborates with scholars based in China, United States and Denmark. Huiling Wang's co-authors include Marisela Morales, Gaohua Wang, Jia Qi, Shiliang Zhang, Zhongchun Liu, Carl R. Lupica, Alexander F. Hoffman, Tsuyoshi Yamaguchi, David H. Root and Shiliang Zhang and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Huiling Wang

120 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiling Wang China 35 2.0k 1.3k 1.1k 610 492 131 4.2k
Daniel J. Lodge United States 35 2.9k 1.5× 1.6k 1.2× 1.2k 1.1× 663 1.1× 731 1.5× 90 4.8k
Anita C. Hansson Germany 33 2.6k 1.3× 1.0k 0.8× 1.3k 1.2× 702 1.2× 253 0.5× 83 4.3k
John G. Howland Canada 31 2.4k 1.2× 1.6k 1.2× 955 0.8× 896 1.5× 536 1.1× 102 4.2k
Olivier George United States 39 2.6k 1.3× 912 0.7× 1.5k 1.3× 848 1.4× 404 0.8× 111 4.4k
Marcello Solinas France 41 3.6k 1.8× 930 0.7× 1.1k 0.9× 523 0.9× 328 0.7× 85 5.7k
Michael Michaelides United States 32 2.0k 1.0× 889 0.7× 838 0.7× 277 0.5× 350 0.7× 97 3.9k
Lynette C. Daws United States 36 2.4k 1.2× 586 0.4× 1.6k 1.4× 485 0.8× 506 1.0× 106 4.1k
Carles Sanchis‐Segura Spain 34 2.0k 1.0× 896 0.7× 974 0.9× 545 0.9× 336 0.7× 72 3.8k
Declan N.C. Jones United Kingdom 37 1.7k 0.9× 683 0.5× 1.2k 1.0× 657 1.1× 637 1.3× 64 3.4k
P.F. Gardino Brazil 18 1.9k 1.0× 828 0.6× 1.0k 0.9× 571 0.9× 347 0.7× 48 4.0k

Countries citing papers authored by Huiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huiling Wang. A scholar is included among the top collaborators of Huiling Wang 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 Huiling Wang. Huiling Wang 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.
Tang, Zhifeng, Jianming Yang, Xin Xu, et al.. (2025). Breath and Blood Metabolomics: A Comparative Study Using SESI-HRMS/MS and UHPLC-ESI-HRMS/MS. Environment & Health. 3(6). 596–604. 2 indexed citations
2.
Sun, Yuqing, Sangma Xie, Hao Yan, et al.. (2024). Disorder-specific neurodynamic features in schizophrenia inferred by neurodynamic embedded contrastive variational autoencoder model. Translational Psychiatry. 14(1). 496–496. 1 indexed citations
3.
5.
Parola, Alberto, Yuan Zhou, Huiling Wang, et al.. (2023). Linguistic markers of psychosis in Mandarin Chinese: Relations to theory of mind. Psychiatry Research. 325. 115253–115253. 4 indexed citations
6.
Xu, Shilin, et al.. (2023). Capsaicin alleviates neuronal apoptosis and schizophrenia-like behavioral abnormalities induced by early life stress. SHILAP Revista de lepidopterología. 9(1). 77–77. 9 indexed citations
7.
Zhou, Yuan, Yuwen He, Peter Zeidman, et al.. (2023). Amygdala connectivity related to subsequent stress responses during the COVID-19 outbreak. Frontiers in Psychiatry. 14. 999934–999934. 3 indexed citations
9.
Miranda‐Barrientos, Jorge, Smriti Mongia, Bing Liu, et al.. (2021). Ventral tegmental area GABA, glutamate, and glutamate‐GABA neurons are heterogeneous in their electrophysiological and pharmacological properties. European Journal of Neuroscience. 54(1). 4061–4084. 25 indexed citations
10.
Bian, Hetao, Gaohua Wang, Junjie Huang, et al.. (2020). Dihydrolipoic acid protects against lipopolysaccharide-induced behavioral deficits and neuroinflammation via regulation of Nrf2/HO-1/NLRP3 signaling in rat. Journal of Neuroinflammation. 17(1). 166–166. 85 indexed citations
11.
Mongia, Smriti, Tsuyoshi Yamaguchi, Bing Liu, et al.. (2019). The Ventral Tegmental Area has calbindin neurons with the capability to co‐release glutamate and dopamine into the nucleus accumbens. European Journal of Neuroscience. 50(12). 3968–3984. 17 indexed citations
12.
Wang, Huiling, et al.. (2019). Sensitivity and fitness analysis of round spot of Panax notoginseng mycocentrospora acerina to azoxystrobin, prochloraz and difenoconazole.. Nongyaoxue xuebao. 21(3). 273–278. 1 indexed citations
13.
Wang, Huiling, et al.. (2017). The Expression and Subcellular Localization of Chalcone Isomerase in Developing Grape Berries. Acta Horticulturae Sinica. 44(8). 1477. 2 indexed citations
14.
Huang, Huan, Chang Shu, Jun Chen, et al.. (2017). Altered corticostriatal pathway in first-episode paranoid schizophrenia: Resting-state functional and causal connectivity analyses. Psychiatry Research Neuroimaging. 272. 38–45. 20 indexed citations
15.
Xiao, Ling, et al.. (2015). Survey on the non-psychiatric physician's ability of diagnosis and treatment of depression/anxiety disorders in general hospital. Zhonghua xingwei yixue yu naokexue zazhi. 24(11). 1037–1040. 2 indexed citations
16.
Liu, Zhongchun, Wanhong Liu, Lihua Yao, et al.. (2013). Negative life events and corticotropin-releasing-hormone receptor1 gene in recurrent major depressive disorder. Scientific Reports. 3(1). 1548–1548. 25 indexed citations
17.
Zhang, Xueping, Zhongxiang Cai, Gaohua Wang, et al.. (2013). F-actin may play an important role in IL-1β-stimulated hippocampal neurons. Behavioural Brain Research. 243. 165–170. 5 indexed citations
18.
Liu, Xuan, Huiling Wang, Yue Fang, et al.. (2011). The executive function and learning ability in the patients with first-episode schizophrenia. Chin J Psychiatry. 44(1). 32–35. 1 indexed citations
19.
Wang, Huiling & Marisela Morales. (2009). Pedunculopontine and laterodorsal tegmental nuclei contain distinct populations of cholinergic, glutamatergic and GABAergic neurons in the rat. European Journal of Neuroscience. 29(2). 340–358. 375 indexed citations
20.
Liu, Zhongchun, Fan Zhu, Gaohua Wang, et al.. (2006). Association of corticotropin-releasing hormone receptor1 gene SNP and haplotype with major depression. Neuroscience Letters. 404(3). 358–362. 118 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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