Xinhua Shen

819 total citations
46 papers, 528 citations indexed

About

Xinhua Shen is a scholar working on Psychiatry and Mental health, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Xinhua Shen has authored 46 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Psychiatry and Mental health, 10 papers in Pharmacology and 10 papers in Cognitive Neuroscience. Recurrent topics in Xinhua Shen's work include Treatment of Major Depression (9 papers), Tryptophan and brain disorders (7 papers) and Dementia and Cognitive Impairment Research (6 papers). Xinhua Shen is often cited by papers focused on Treatment of Major Depression (9 papers), Tryptophan and brain disorders (7 papers) and Dementia and Cognitive Impairment Research (6 papers). Xinhua Shen collaborates with scholars based in China, United States and Canada. Xinhua Shen's co-authors include Zhongxia Shen, Yonggui Yuan, Mincai Qian, Xiaoquan Wang, Yanfeng Wu, Xu Lu, Chao Huang, Fan Liu, Chao Ma and Jianhong Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xinhua Shen

42 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinhua Shen China 16 115 105 98 96 81 46 528
Shenxun Shi China 16 109 0.9× 152 1.4× 122 1.2× 71 0.7× 79 1.0× 43 688
Kimberly Albert United States 12 81 0.7× 105 1.0× 124 1.3× 63 0.7× 201 2.5× 24 704
Yousong Su China 13 234 2.0× 70 0.7× 146 1.5× 70 0.7× 87 1.1× 40 524
Laurena Holleran Ireland 14 134 1.2× 220 2.1× 249 2.5× 69 0.7× 55 0.7× 36 680
Xingbing Huang China 14 145 1.3× 89 0.8× 256 2.6× 51 0.5× 59 0.7× 49 626
Pei‐Shen Ho Taiwan 15 165 1.4× 70 0.7× 172 1.8× 42 0.4× 103 1.3× 38 584
Hanjing Emily Wu United States 15 216 1.9× 87 0.8× 252 2.6× 82 0.9× 102 1.3× 45 642
Murat Erdem Türkiye 12 112 1.0× 61 0.6× 140 1.4× 43 0.4× 54 0.7× 67 453
Okan Çalıyurt Türkiye 11 270 2.3× 112 1.1× 109 1.1× 145 1.5× 209 2.6× 24 629
Josef Isung Sweden 11 230 2.0× 60 0.6× 80 0.8× 55 0.6× 142 1.8× 16 457

Countries citing papers authored by Xinhua Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Shen. A scholar is included among the top collaborators of Xinhua Shen 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 Xinhua Shen. Xinhua Shen 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.
Xue, Bowen, et al.. (2025). Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis. Frontiers in Psychiatry. 15. 1515549–1515549. 3 indexed citations
2.
Tan, Qian, Bin Wu, Jianxi Zhu, et al.. (2025). Classify the fNIRS signals of first-episode drug-naive MDD patients with or without suicidal ideation using machine learning. BMC Psychiatry. 25(1). 909–909.
3.
Pei, Xue, et al.. (2025). The power spectrum and functional connectivity characteristics of resting-state EEG in patients with generalized anxiety disorder. Scientific Reports. 15(1). 5991–5991. 2 indexed citations
4.
Jiang, Wenhao, Yingying Yue, Gang Chen, et al.. (2023). The trends of psychosomatic symptoms and perceived stress among healthcare workers during the COVID-19 pandemic in China: Four cross-sectional nationwide surveys, 2020–2023. Psychiatry Research. 326. 115301–115301. 7 indexed citations
5.
Wang, Xing, et al.. (2023). A systematic review of interpersonal psychotherapy for postpartum depression. Journal of Affective Disorders. 339. 823–831. 9 indexed citations
6.
7.
Chen, Suzhen, Gang Chen, Yinghui Li, et al.. (2022). Predicting the diagnosis of various mental disorders in a mixed cohort using blood-based multi-protein model: a machine learning approach. European Archives of Psychiatry and Clinical Neuroscience. 273(6). 1267–1277. 8 indexed citations
8.
Shen, Zhongxia, et al.. (2021). Higher baseline serum adiponectin predicts better treatment remission in patients with generalized anxiety disorder treated with escitalopram. Annals of Palliative Medicine. 10(7). 7634–7643. 3 indexed citations
9.
Gu, Yue, Ting Ye, Pingping Tan, et al.. (2020). Tolerance-inducing effect and properties of innate immune stimulation on chronic stress-induced behavioral abnormalities in mice. Brain Behavior and Immunity. 91. 451–471. 42 indexed citations
10.
Chen, Qingsong, Yuqun Zhang, Xueqin Mao, et al.. (2019). Health anxiety in medical employees: A multicentre study. Journal of International Medical Research. 47(10). 4854–4861. 16 indexed citations
11.
12.
Su, Qiang, et al.. (2018). Risk of immune-related colitis with PD-1/PD-L1 inhibitors vs chemotherapy in solid tumors: systems assessment. Journal of Cancer. 9(9). 1614–1622. 14 indexed citations
13.
Si, Tianmei, Gang Wang, Fude Yang, et al.. (2017). Efficacy and safety of escitalopram in treatment of severe depression in Chinese population. Metabolic Brain Disease. 32(3). 891–901. 16 indexed citations
14.
Jiang, Haowu, Xinhua Shen, Zhiyong Chen, et al.. (2017). Nociceptive neuronal Fc-gamma receptor I is involved in IgG immune complex induced pain in the rat. Brain Behavior and Immunity. 62. 351–361. 27 indexed citations
15.
Yang, Yuan, Mingzhe Zhao, Yuqun Zhang, Xinhua Shen, & Yonggui Yuan. (2016). Correlation of 5-HTT, BDNF and NPSR1 gene polymorphisms with anxiety and depression in asthmatic patients. International Journal of Molecular Medicine. 38(1). 65–74. 20 indexed citations
16.
Li, Yinghui, Wenhao Jiang, Zhong Yang, et al.. (2015). A comparative study of anhedonia components between major depression and schizophrenia in Chinese populations. Annals of General Psychiatry. 14(1). 24–24. 38 indexed citations
17.
Shen, Xinhua, Yanfeng Wu, Xiaoquan Wang, et al.. (2014). Association analysis of COMT/MTHFR polymorphisms and major depressive disorder in Chinese Han population. Journal of Affective Disorders. 161. 73–78. 30 indexed citations
18.
Qian, Mincai, et al.. (2011). The effect of reproductive hormone level on delayed menses induced by risperidone in schizophrenic patients. Chin J Psychiatry. 44(3). 151–154. 1 indexed citations
19.
Wu, Yanfeng, et al.. (2011). The I/D polymorphism of angiotensin-converting enzyme gene in major depressive disorder and therapeutic outcome: A case–control study and meta-analysis. Journal of Affective Disorders. 136(3). 971–978. 20 indexed citations
20.
Qian, Mincai, et al.. (2009). Effect of aripiprazole on the hyperprolactinmia induced by risperidone in male schizophrenia patients. Chin J Psychiatry. 42(4). 224–227. 4 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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