Yingyan Hu

416 total citations
10 papers, 198 citations indexed

About

Yingyan Hu is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Pharmacology. According to data from OpenAlex, Yingyan Hu has authored 10 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Psychiatry and Mental health and 2 papers in Pharmacology. Recurrent topics in Yingyan Hu's work include Nuclear Receptors and Signaling (3 papers), Nerve injury and regeneration (3 papers) and Bipolar Disorder and Treatment (3 papers). Yingyan Hu is often cited by papers focused on Nuclear Receptors and Signaling (3 papers), Nerve injury and regeneration (3 papers) and Bipolar Disorder and Treatment (3 papers). Yingyan Hu collaborates with scholars based in China and United States. Yingyan Hu's co-authors include Yiru Fang, Jun Chen, Zhiguo Wu, Jia Huang, Chengmei Yuan, Wu Hong, Lan Cao, Zhenghui Yi, Zezhi Li and Daihui Peng and has published in prestigious journals such as Journal of Affective Disorders, Psychoneuroendocrinology and Neuroreport.

In The Last Decade

Yingyan Hu

9 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingyan Hu China	7	107	59	43	41	35	10	198
Olya Mikova Germany	4	128 1.2×	61 1.0×	26 0.6×	88 2.1×	52 1.5×	4	260
Konrad F. Schlicht Germany	7	65 0.6×	39 0.7×	72 1.7×	28 0.7×	75 2.1×	8	235
Walid Choucha France	4	104 1.0×	34 0.6×	96 2.2×	22 0.5×	36 1.0×	8	175
Yosuke Koshikawa Japan	10	51 0.5×	97 1.6×	38 0.9×	19 0.5×	38 1.1×	25	249
Richard Smallman United Kingdom	7	64 0.6×	74 1.3×	48 1.1×	18 0.4×	78 2.2×	14	248
Inge Winter-van Rossum Netherlands	8	65 0.6×	124 2.1×	17 0.4×	21 0.5×	43 1.2×	16	210
Mariateresa Ciccarelli Italy	10	81 0.8×	78 1.3×	13 0.3×	27 0.7×	38 1.1×	21	226
Ileana Andriola Italy	9	55 0.5×	64 1.1×	80 1.9×	10 0.2×	62 1.8×	15	233
Matteo Marcatili Italy	8	64 0.6×	33 0.6×	72 1.7×	14 0.3×	59 1.7×	26	223
G. Gründer Germany	6	45 0.4×	48 0.8×	62 1.4×	20 0.5×	70 2.0×	9	219

Countries citing papers authored by Yingyan Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yingyan Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingyan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingyan Hu. A scholar is included among the top collaborators of Yingyan Hu 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 Yingyan Hu. Yingyan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Zhang, Haonan, Bing Li, Zhenguang Huang, et al.. (2025). Strategies for antidepressant medications in the maintenance phase: A systematic review and network Meta-analysis. Journal of Affective Disorders. 387. 119460–119460.

Lin, Xiao, Rubai Zhou, Jia Huang, et al.. (2020). Altered resting-state fMRI signals and network topological properties of bipolar depression patients with anxiety symptoms. Journal of Affective Disorders. 277. 358–367. 14 indexed citations

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

Mao, Ruizhi, Chen Zhang, Jun Chen, et al.. (2018). Different levels of pro- and anti-inflammatory cytokines in patients with unipolar and bipolar depression. Journal of Affective Disorders. 237. 65–72. 52 indexed citations

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

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

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

Hong, Wu, Jinbo Fan, Chengmei Yuan, et al.. (2014). Significantly decreased mRNA levels of BDNF and MEK1 genes in treatment-resistant depression. Neuroreport. 25(10). 753–755. 29 indexed citations

Li, Zezhi, Yanxia Zhang, Zuowei Wang, et al.. (2012). The role of BDNF, NTRK2 gene and their interaction in development of treatment-resistant depression: Data from multicenter, prospective, longitudinal clinic practice. Journal of Psychiatric Research. 47(1). 8–14. 45 indexed citations

10.

Zhang, Qian, et al.. (2009). Expression pattern of aquaporin 4 and 5 in the middle ear of guinea pigs with secretory otitis media. Acta Oto-Laryngologica. 1–7. 1 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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