Xiaohui Wu

1.2k total citations
45 papers, 537 citations indexed

About

Xiaohui Wu is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Xiaohui Wu has authored 45 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biological Psychiatry, 11 papers in Psychiatry and Mental health and 7 papers in Molecular Biology. Recurrent topics in Xiaohui Wu's work include Tryptophan and brain disorders (18 papers), Bipolar Disorder and Treatment (8 papers) and Stress Responses and Cortisol (7 papers). Xiaohui Wu is often cited by papers focused on Tryptophan and brain disorders (18 papers), Bipolar Disorder and Treatment (8 papers) and Stress Responses and Cortisol (7 papers). Xiaohui Wu collaborates with scholars based in China, Canada and United Kingdom. Xiaohui Wu's co-authors include Junming Wang, Yiru Fang, Yuncheng Zhu, Yueyue Zhang, Lingling Song, Yanmei Wang, Jun Chen, Jingna Wang, Yingxia Li and Yanyan Dong and has published in prestigious journals such as Brain Research, Neuroscience and Journal of Ethnopharmacology.

In The Last Decade

Xiaohui Wu

41 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohui Wu China 14 167 141 91 82 65 45 537
Rongjuan Guo China 16 223 1.3× 255 1.8× 77 0.8× 82 1.0× 112 1.7× 49 802
Tuğçe Demirtaş Şahin Türkiye 13 212 1.3× 99 0.7× 74 0.8× 172 2.1× 142 2.2× 31 583
Hyangin Kim United States 7 189 1.1× 159 1.1× 71 0.8× 155 1.9× 56 0.9× 12 626
Hung-Ming Wu Taiwan 12 90 0.5× 135 1.0× 53 0.6× 42 0.5× 141 2.2× 16 578
Pao-Yen Lin Taiwan 11 141 0.8× 69 0.5× 65 0.7× 103 1.3× 27 0.4× 17 840
Fabio Turco Italy 11 117 0.7× 386 2.7× 44 0.5× 38 0.5× 78 1.2× 18 1.0k
Saiying Wang China 15 99 0.6× 158 1.1× 64 0.7× 44 0.5× 29 0.4× 49 793
Mandy Biraud United States 11 81 0.5× 247 1.8× 63 0.7× 75 0.9× 171 2.6× 16 854
Chih‐Yuan Ko China 13 104 0.6× 221 1.6× 21 0.2× 68 0.8× 23 0.4× 38 506

Countries citing papers authored by Xiaohui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Wu. A scholar is included among the top collaborators of Xiaohui Wu 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 Xiaohui Wu. Xiaohui Wu 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.
Liu, Fei, et al.. (2024). Intracerebral hemorrhage complicated by alcohol use disorder in young males in Chongqing China: Characteristics and long-term outcome. Journal of Stroke and Cerebrovascular Diseases. 33(11). 107995–107995.
2.
Zhang, Yuhuan, et al.. (2024). Differential effects of private tutoring on groups of students’ mathematics achievements: a longitudinal study. Educational Studies in Mathematics. 115(2). 197–222. 3 indexed citations
3.
Wu, Xiaohui, Chen Liu, Junming Wang, et al.. (2024). The role of TrkB signaling-mediated synaptic plasticity in the antidepressant properties of catalpol, the main active compound of Rehmannia glutinosa Libosch.. Journal of Ethnopharmacology. 333. 118448–118448. 4 indexed citations
4.
Wu, Xiaohui, Junming Wang, Lingyu Qin, et al.. (2023). [Gender differences in antidepressant effect of raw Rehmanniae Radix].. PubMed. 48(19). 5326–5336. 1 indexed citations
5.
Wang, Junming, et al.. (2023). Role of BDNF–TrkB signaling in the antidepressant‐like actions of loganin, the main active compound of Corni Fructus. CNS Neuroscience & Therapeutics. 29(12). 3842–3853. 6 indexed citations
6.
Zhu, Yuncheng, Zhiguo Wu, Dongmei Zhao, et al.. (2023). Clinical Guideline (CANMAT 2016) Discordance of Medications for Patients with Major Depressive Disorder in China. Neuropsychiatric Disease and Treatment. Volume 19. 829–839. 1 indexed citations
8.
Wu, Xiaohui, et al.. (2023). Analysis of 21 Patients With Alcoholic Marchiafava–Bignami Disease in Chongqing, China. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(4). 513–520.
9.
Liu, Hongmei, Xiaohui Wu, Yun Wang, et al.. (2022). TNF-α, IL-6 and hsCRP in patients with melancholic, atypical and anxious depression: an antibody array analysis related to somatic symptoms. General Psychiatry. 35(4). e100844–e100844. 12 indexed citations
10.
Wu, Xiaohui, Yuzhu Wang, & Zhiqin Xi. (2022). Clinical and antibodies analysis of anti-GQ1b antibody syndrome: a case series of 15 patients. Acta Neurologica Belgica. 123(3). 839–847. 2 indexed citations
11.
Wu, Xiaohui, Yuncheng Zhu, Zhiguo Wu, et al.. (2022). Identifying the Subtypes of Major Depressive Disorder Based on Somatic Symptoms: A Longitudinal Study Using Latent Profile Analysis. Frontiers in Psychiatry. 13. 759334–759334. 6 indexed citations
12.
Dong, Xiaohua, Long Wang, Jing Zhao, et al.. (2022). VPS28 regulates brain vasculature by controlling neuronal VEGF trafficking through extracellular vesicle secretion. iScience. 25(4). 104042–104042. 10 indexed citations
14.
Wang, Junming, et al.. (2021). Antidepressant mechanism of catalpol: Involvement of the PI3K/Akt/Nrf2/HO-1 signaling pathway in rat hippocampus. European Journal of Pharmacology. 909. 174396–174396. 39 indexed citations
15.
Wu, Xiaohui, et al.. (2020). The relationship of olfactory function and clinical traits in major depressive disorder. Behavioural Brain Research. 386. 112594–112594. 15 indexed citations
16.
Li, Yingxia, Yu Sun, Haiyan Wang, et al.. (2017). Hospital-acquired lower respiratory tract infections among high risk hospitalized patients in a tertiary care teaching hospital in China: An economic burden analysis. Journal of Infection and Public Health. 11(4). 507–513. 9 indexed citations
17.
Dong, Yanyan, et al.. (2016). Influence of high body mass index on mortality and infectious outcomes in patients who underwent open gastrointestinal surgery: A meta-analysis. American Journal of Infection Control. 44(5). 572–578. 6 indexed citations
18.
Wu, Xiaohui, et al.. (2016). Nosocomial infections among acute leukemia patients in China: An economic burden analysis. American Journal of Infection Control. 44(10). 1123–1127. 6 indexed citations
19.
Chen, Libo, Yan Shen, Xiaohui Wu, & Quan‐Yong Luo. (2009). Anatomic and metabolic imaging of venous thromboembolism mimicking thyroid carcinoma extension. Journal of Thrombosis and Thrombolysis. 29(3). 358–360. 5 indexed citations
20.
Guo, Song, Xiaohui Wu, B. Vellas, Y. Guigoz, & W. C. Chumlea. (1994). Prediction of stature in the French elderly. 5(3). 169–173. 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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