Xiaohan Yang

837 total citations
20 papers, 636 citations indexed

About

Xiaohan Yang is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Xiaohan Yang has authored 20 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 8 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Xiaohan Yang's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Stress Responses and Cortisol (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Xiaohan Yang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Stress Responses and Cortisol (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Xiaohan Yang collaborates with scholars based in China, United Kingdom and Japan. Xiaohan Yang's co-authors include Jianmei Ma, Kai Fan, Yanli Zhang, Gang Liu, Shuang Liu, Fenghua Xu, Yanna Liu, Guoyang Xu, Xinsheng Li and Qing Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaohan Yang

19 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohan Yang China 12 214 212 196 129 90 20 636
Jiang‐Rui Zhou China 13 121 0.6× 176 0.8× 216 1.1× 136 1.1× 82 0.9× 16 658
Burak I. Ariöz Türkiye 7 129 0.6× 185 0.9× 404 2.1× 73 0.6× 61 0.7× 12 714
Emre Tarakcioglu Türkiye 6 109 0.5× 180 0.8× 305 1.6× 72 0.6× 52 0.6× 7 570
Prashant Natteru United States 6 382 1.8× 147 0.7× 254 1.3× 40 0.3× 125 1.4× 17 914
Liu Luo China 15 75 0.4× 173 0.8× 205 1.0× 124 1.0× 33 0.4× 32 802
Lingshan Gou China 13 81 0.4× 86 0.4× 189 1.0× 49 0.4× 38 0.4× 30 713
Wenqing Gong China 6 187 0.9× 233 1.1× 113 0.6× 186 1.4× 33 0.4× 17 481

Countries citing papers authored by Xiaohan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Yang. A scholar is included among the top collaborators of Xiaohan Yang 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 Xiaohan Yang. Xiaohan Yang 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.
2.
Liu, Yanna, Li Wang, Xiaohan Yang, et al.. (2025). Cardiac dilation, energy stress, and ventricular remodeling: insights from prolonged voluntary exercise in male mice with TAC-induced HFpEF. Journal of Applied Physiology. 138(3). 746–760. 1 indexed citations
3.
Yang, Xiaohan, Cong Du, Shuang Liu, et al.. (2024). Up-regulated succinylation modifications induce a senescence phenotype in microglia by altering mitochondrial energy metabolism. Journal of Neuroinflammation. 21(1). 296–296. 11 indexed citations
4.
Liu, Gang, Xiaohan Yang, Wenting Gao, et al.. (2023). Ablation of AQP5 gene in mice leads to olfactory dysfunction caused by hyposecretion of Bowman’s gland. Chemical Senses. 48. 4 indexed citations
5.
Yang, Xiaohan, Yuan Xu, Wenting Gao, et al.. (2022). Hyperinsulinemia-induced microglial mitochondrial dynamic and metabolic alterations lead to neuroinflammation in vivo and in vitro. Frontiers in Neuroscience. 16. 1036872–1036872. 12 indexed citations
6.
Liu, Shuang, Xiaohan Yang, Yanna Liu, et al.. (2021). Cathepsin C aggravates neuroinflammation via promoting production of CCL2 and CXCL2 in glial cells and neurons in a cryogenic brain lesion. Neurochemistry International. 148. 105107–105107. 24 indexed citations
7.
Liu, Yanna, Fenghua Xu, Shuang Liu, et al.. (2020). Significance of gastrointestinal tract in the therapeutic mechanisms of exercise in depression: Synchronism between brain and intestine through GBA. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 103. 109971–109971. 29 indexed citations
8.
Liu, Qing, Yanli Zhang, Shuang Liu, et al.. (2019). Cathepsin C promotes microglia M1 polarization and aggravates neuroinflammation via activation of Ca2+-dependent PKC/p38MAPK/NF-κB pathway. Journal of Neuroinflammation. 16(1). 10–10. 103 indexed citations
9.
Alam, Shahid, Qing Liu, Shuang Liu, et al.. (2019). Up-regulated cathepsin C induces macrophage M1 polarization through FAK-triggered p38 MAPK/NF-κB pathway. Experimental Cell Research. 382(2). 111472–111472. 52 indexed citations
10.
Zhao, Hong‐Ye, Xiaohan Yang, Ming Fan, et al.. (2019). Cryptotanshinone Attenuates Oxygen-Glucose Deprivation/ Recovery-Induced Injury in an in vitro Model of Neurovascular Unit. Frontiers in Neurology. 10. 381–381. 19 indexed citations
11.
Zhang, Yanli, Kai Fan, Bin Fan, et al.. (2019). The Spatial and Temporal Characters of Demyelination and Remyelination in the Cuprizone Animal Model. The Anatomical Record. 302(11). 2020–2029. 10 indexed citations
12.
Zhao, Hui, et al.. (2018). The effect of glutamate-induced excitotoxicity on DNA methylation in astrocytes in a new in vitro neuron-astrocyte-endothelium co-culture system. Biochemical and Biophysical Research Communications. 508(4). 1209–1214. 12 indexed citations
13.
Liu, Hailong, Yongzhong Lin, Guangming Liu, et al.. (2017). Network-Based Approach to Identify Potential Targets and Drugs that Promote Neuroprotection and Neurorepair in Acute Ischemic Stroke. Scientific Reports. 7(1). 40137–40137. 11 indexed citations
14.
Chu, Hongwei, Pin Sun, Guangming Liu, et al.. (2017). Integrated network analysis reveals potentially novel molecular mechanisms and therapeutic targets of refractory epilepsies. PLoS ONE. 12(4). e0174964–e0174964. 14 indexed citations
15.
Liu, Qing, Xinsheng Li, Guoyang Xu, et al.. (2017). Behavioral, inflammatory and neurochemical disturbances in LPS and UCMS-induced mouse models of depression. Behavioural Brain Research. 364. 494–502. 217 indexed citations
16.
Zhang, Yanli, Kai Fan, Yanna Liu, et al.. (2017). Cathepsin C Aggravates Neuroinflammation Involved in Disturbances of Behaviour and Neurochemistry in Acute and Chronic Stress-Induced Murine Model of Depression. Neurochemical Research. 43(1). 89–100. 22 indexed citations
17.
18.
Liang, Junjie, Ning Li, Yanli Zhang, et al.. (2016). Disinhibition of Cathepsin C Caused by Cystatin F Deficiency Aggravates the Demyelination in a Cuprizone Model. Frontiers in Molecular Neuroscience. 9. 115–115. 27 indexed citations
19.
Li, Yuyuan, Yang Sun, Jian Li, et al.. (2015). Changes of ubiquitin C-terminal hydrolase-L1 levels in serum and urine of patients with white matter lesions. Journal of the Neurological Sciences. 357(1-2). 215–221. 10 indexed citations
20.
Yang, Xiaohan, Hai Xiong, Dongmei Ye, et al.. (2012). Higher Expression of Caveolin-1 Inhibits Human Small Cell Lung Cancer (SCLC) Apoptosis In Vitro. Cancer Investigation. 30(6). 453–462. 11 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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