Wu Hong

3.4k total citations
107 papers, 2.3k citations indexed

About

Wu Hong is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Pharmacology. According to data from OpenAlex, Wu Hong has authored 107 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Psychiatry and Mental health, 25 papers in Biological Psychiatry and 19 papers in Pharmacology. Recurrent topics in Wu Hong's work include Tryptophan and brain disorders (25 papers), Bipolar Disorder and Treatment (17 papers) and Treatment of Major Depression (17 papers). Wu Hong is often cited by papers focused on Tryptophan and brain disorders (25 papers), Bipolar Disorder and Treatment (17 papers) and Treatment of Major Depression (17 papers). Wu Hong collaborates with scholars based in China, United States and United Kingdom. Wu Hong's co-authors include Yiru Fang, Zhiguo Wu, Chengmei Yuan, Shunying Yu, Zuowei Wang, Daihui Peng, Zezhi Li, Zhenghui Yi, Jun Chen and Chen Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Wu Hong

98 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wu Hong China 30 634 546 417 374 289 107 2.3k
Zezhi Li China 31 703 1.1× 685 1.3× 623 1.5× 266 0.7× 344 1.2× 146 3.1k
Ning Sun China 25 436 0.7× 731 1.3× 219 0.5× 189 0.5× 172 0.6× 93 2.0k
Salih Selek Türkiye 26 687 1.1× 257 0.5× 780 1.9× 190 0.5× 157 0.5× 85 2.1k
Bingjin Li China 22 316 0.5× 400 0.7× 206 0.5× 151 0.4× 266 0.9× 42 1.5k
Rena Li United States 25 245 0.4× 689 1.3× 294 0.7× 215 0.6× 347 1.2× 43 3.2k
Amàlia Lafuente Spain 28 290 0.5× 910 1.7× 465 1.1× 136 0.4× 258 0.9× 111 2.3k
Yu‐Li Liu Taiwan 26 230 0.4× 613 1.1× 280 0.7× 205 0.5× 354 1.2× 103 1.9k
Franca Marino Italy 35 554 0.9× 972 1.8× 404 1.0× 221 0.6× 864 3.0× 158 4.1k
Zhiguang Huo United States 23 272 0.4× 1.0k 1.9× 144 0.3× 115 0.3× 157 0.5× 105 2.2k

Countries citing papers authored by Wu Hong

Since Specialization
Citations

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

Fields of papers citing papers by Wu Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Hong. A scholar is included among the top collaborators of Wu Hong 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 Wu Hong. Wu Hong 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.
Chen, Yi‐Ming, et al.. (2025). Global, regional and national burden of bipolar disorder: An analysis of trends from 1990 to 2021. Journal of Affective Disorders. 393(Pt B). 120393–120393.
2.
Tang, Yujie, Wu Hong, Xin Zhang, et al.. (2025). Apigenin in freezing medium improves frozen-thawed sperm quality and fertilization competence of Oura-type Tibetan sheep. Theriogenology. 252. 117788–117788.
3.
Hong, Wu, et al.. (2024). A case report of adolescent lactation due to the drug blonanserin. BMC Psychiatry. 24(1). 700–700.
4.
5.
6.
Chen, Yiming, Dongbin Lyu, Fan Wang, et al.. (2024). Efficacy of transcranial direct current stimulation for treating anhedonia in patients with depression: A randomized, double-blind, sham-controlled clinical trial. Journal of Affective Disorders. 350. 264–273. 8 indexed citations
7.
Zhang, Mengke, Weijie Xie, Peijun Ju, et al.. (2023). Sleep deprivation alleviates depression-like behaviors in mice via inhibiting immune and inflammatory pathways and improving neuroplasticity. Journal of Affective Disorders. 340. 100–112. 7 indexed citations
8.
Wang, Fan, Dongbin Lyu, Chenglin Wu, et al.. (2023). Association between overt aggression and anhedonia in patients with major depressive disorder during the acute phase. Journal of Psychiatric Research. 165. 41–47. 1 indexed citations
9.
Chen, Yiming, Chenglin Wu, Dongbin Lyu, et al.. (2023). Comparison of 60-minute vs 30-minute transcranial direct current stimulation (tDCS) in major depressive disorder: Effects on depression suicidal ideation and anxiety. Psychiatry Research. 330. 115556–115556. 4 indexed citations
10.
Liu, Juan, Jingjing Gao, Aoli Wang, et al.. (2022). Nintedanib overcomes drug resistance from upregulation of FGFR signalling and imatinib‐induced KIT mutations in gastrointestinal stromal tumours. Molecular Oncology. 16(8). 1761–1774. 7 indexed citations
11.
Zhang, Huifeng, Zhiguo Wu, Lan Cao, et al.. (2021). Evaluating the efficacy and moderators of algorithm-guided antidepressant treatments of major depressive disorder. Journal of Affective Disorders. 297. 68–75. 1 indexed citations
12.
Yu, Shunying, Chengmei Yuan, Wu Hong, et al.. (2021). Gene expression signatures differentiating major depressive disorder from subsyndromal symptomatic depression. Aging. 13(9). 13124–13137. 6 indexed citations
13.
Lyu, Dongbin, Zhiguo Wu, Yun Wang, et al.. (2019). Disagreement and factors between symptom on self-report and clinician rating of major depressive disorder: A report of a national survey in China. Journal of Affective Disorders. 253. 141–146. 11 indexed citations
14.
Cui, Wenyan, Yuping Ning, Wu Hong, et al.. (2018). Crosstalk Between Inflammation and Glutamate System in Depression: Signaling Pathway and Molecular Biomarkers for Ketamine’s Antidepressant Effect. Molecular Neurobiology. 56(5). 3484–3500. 77 indexed citations
15.
Zhao, Dongmei, Zhiguo Wu, Huifeng Zhang, et al.. (2018). Somatic symptoms vary in major depressive disorder in China. Comprehensive Psychiatry. 87. 32–37. 46 indexed citations
16.
Li, Zezhi, Zuowei Wang, Chen Zhang, et al.. (2017). Reduced ENA78 levels as novel biomarker for major depressive disorder and venlafaxine efficiency: Result from a prospective longitudinal study. Psychoneuroendocrinology. 81. 113–121. 27 indexed citations
17.
Hu, Yingyan, Wu Hong, Alicia K. Smith, et al.. (2017). Association analysis between mitogen-activated protein/extracellular signal-regulated kinase (MEK) gene polymorphisms and depressive disorder in the Han Chinese population. Journal of Affective Disorders. 222. 120–125. 6 indexed citations
18.
Shen, He, Xiaohua Liu, Kaida Jiang, et al.. (2016). Alterations of microRNA-124 expression in peripheral blood mononuclear cells in pre- and post-treatment patients with major depressive disorder. Journal of Psychiatric Research. 78. 65–71. 79 indexed citations
19.
Yuan, Chengmei, Jia Huang, Keming Gao, et al.. (2014). Validation of the Chinese Version of the Short TEMPS-A and its application in patients with mood disorders. Journal of Affective Disorders. 170. 178–184. 13 indexed citations
20.
Yi, Zhenghui, Zezhi Li, Shunying Yu, et al.. (2012). Blood-Based Gene Expression Profiles Models for Classification of Subsyndromal Symptomatic Depression and Major Depressive Disorder. PLoS ONE. 7(2). e31283–e31283. 72 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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