Junwei Hao

8.5k total citations · 1 hit paper
107 papers, 5.2k citations indexed

About

Junwei Hao is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Junwei Hao has authored 107 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 33 papers in Immunology and 32 papers in Neurology. Recurrent topics in Junwei Hao's work include Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Peripheral Neuropathies and Disorders (10 papers) and Immune Cell Function and Interaction (10 papers). Junwei Hao is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Peripheral Neuropathies and Disorders (10 papers) and Immune Cell Function and Interaction (10 papers). Junwei Hao collaborates with scholars based in China, United States and Canada. Junwei Hao's co-authors include Fu‐Dong Shi, Wei Jiang, Ranran Han, Bin Han, Qiang Liu, Daojing Li, Rongxin Zhang, Xiaofeng Ma, Yang Yao and Guiyou Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Junwei Hao

102 papers receiving 5.1k citations

Hit Papers

Inhibition of double‐stra... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junwei Hao 2.3k 1.6k 1.5k 740 649 107 5.2k
Anuska V. Andjelkovic 2.1k 0.9× 3.0k 1.8× 1.4k 0.9× 1.0k 1.4× 757 1.2× 67 6.4k
Won‐Ha Lee 1.4k 0.6× 999 0.6× 1.5k 1.0× 354 0.5× 410 0.6× 119 4.2k
Yaping Yan 1.3k 0.6× 797 0.5× 1.4k 0.9× 600 0.8× 359 0.6× 117 4.0k
Xi Lan 2.0k 0.9× 1.0k 0.6× 642 0.4× 1.1k 1.5× 567 0.9× 91 4.5k
Ning Jiang 1.6k 0.7× 1.4k 0.9× 639 0.4× 448 0.6× 664 1.0× 90 4.2k
Ilo Jou 2.2k 1.0× 2.1k 1.3× 1.2k 0.8× 1.2k 1.6× 295 0.5× 116 5.5k
Yumin Luo 3.2k 1.4× 1.9k 1.1× 509 0.3× 695 0.9× 1.0k 1.6× 183 6.7k
Ileana Giambanco 3.4k 1.5× 767 0.5× 818 0.5× 641 0.9× 422 0.7× 68 5.4k
Gao Chen 1.7k 0.7× 833 0.5× 504 0.3× 1.3k 1.7× 779 1.2× 222 4.5k
Bradley P. Ander 2.2k 1.0× 1.2k 0.7× 513 0.3× 811 1.1× 1.1k 1.7× 95 4.6k

Countries citing papers authored by Junwei Hao

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Hao. A scholar is included among the top collaborators of Junwei Hao 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 Junwei Hao. Junwei Hao 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.
Fang, Xu, Mengyao Zhang, Yan Han, et al.. (2025). Clinical Features of Glutamic Acid Decarboxylase‐65 Neurological Autoimmunity: A Case Series From China. CNS Neuroscience & Therapeutics. 31(2). e70237–e70237.
2.
Xuan, Lina, Jun Chen, Hua Yang, et al.. (2025). CircRNA CDR1AS promotes cardiac ischemia–reperfusion injury in mice by triggering cardiomyocyte autosis. Journal of Molecular Medicine. 103(2). 219–237. 2 indexed citations
3.
Hao, Junwei, et al.. (2025). Micronutrient Biofortification in Wheat: QTLs, Candidate Genes and Molecular Mechanism. International Journal of Molecular Sciences. 26(5). 2178–2178. 2 indexed citations
4.
He, Yating, Chunyu Zhang, Liang Gao, et al.. (2024). The therapeutic effect of gold clusters in an EAE model of multiple sclerosis by regulating T cell differentiation. Nano Today. 54. 102128–102128. 4 indexed citations
5.
Liu, Wei, Lijun Wang, Fei Wang, et al.. (2024). Prevalence and Burden of Multiple Sclerosis in China, 1990–2019. Neurology. 102(11). e209351–e209351. 14 indexed citations
6.
Ren, Yi, Wei Liu, Jiamin Li, et al.. (2024). National and Subnational Trends of Mortality and Years of Life Lost Due to Stroke and Its Subtypes in Young Adults in China, 2005–2020. Neurology. 103(10). e209982–e209982. 3 indexed citations
7.
Liu, Haijie, Penghu Wei, Wei Duan, et al.. (2024). An EEG motor imagery dataset for brain computer interface in acute stroke patients. Scientific Data. 11(1). 131–131. 27 indexed citations
8.
Ren, Yi, Jia Yang, Wei Liu, et al.. (2024). Urban–rural disparities in mortality due to stroke subtypes in China and its provinces, 2015–2020. Chinese Medical Journal. 138(11). 1345–1354.
9.
Zhang, Chen, Fei Wang, Zheng Long, et al.. (2023). Mortality of myasthenia gravis: a national population‐based study in China. Annals of Clinical and Translational Neurology. 10(7). 1095–1105. 14 indexed citations
10.
Yin, Peng, Ya Gao, Renjie Chen, et al.. (2023). Temperature-related death burden of various neurodegenerative diseases under climate warming: a nationwide modelling study. Nature Communications. 14(1). 8236–8236. 27 indexed citations
11.
Cui, Pan, Jijun Wang, Fei Wang, et al.. (2023). Microglia/macrophages require vitamin D signaling to restrain neuroinflammation and brain injury in a murine ischemic stroke model. Journal of Neuroinflammation. 20(1). 63–63. 49 indexed citations
12.
Liang, Yan, et al.. (2021). The clinical features of combined central and peripheral demyelination and antibodies against the node of Ranvier. Multiple Sclerosis Journal. 28(3). 453–462. 9 indexed citations
13.
Li, Daojing, Chen Zhou, Chao Wu, et al.. (2018). Upregulation of Microglial ZEB1 Ameliorates Brain Damage after Acute Ischemic Stroke. Cell Reports. 22(13). 3574–3586. 71 indexed citations
14.
Li, Xiaowen, Yanan Ding, Jing Xu, et al.. (2017). Clinical and electrophysiological features of post-traumatic Guillain-Barré syndrome. BMC Neurology. 17(1). 142–142. 14 indexed citations
15.
Liu, Guiyou, Fang Zhang, Yang Hu, et al.. (2016). Genetic Variants and Multiple Sclerosis Risk Gene SLC9A9 Expression in Distinct Human Brain Regions. Molecular Neurobiology. 54(9). 6820–6826. 28 indexed citations
16.
Chen, Li, Yanjun Zhang, Daojing Li, et al.. (2016). Everolimus (RAD001) ameliorates vascular cognitive impairment by regulating microglial function via the mTORC1 signaling pathway. Journal of Neuroimmunology. 299. 164–171. 26 indexed citations
17.
Jiang, Qinghua, Shuilin Jin, Yongshuai Jiang, et al.. (2016). Alzheimer’s Disease Variants with the Genome-Wide Significance are Significantly Enriched in Immune Pathways and Active in Immune Cells. Molecular Neurobiology. 54(1). 594–600. 110 indexed citations
18.
Ge, Zhenzhen, Yurong Da, Zhenyi Xue, et al.. (2012). Vorinostat, a histone deacetylase inhibitor, suppresses dendritic cell function and ameliorates experimental autoimmune encephalomyelitis. Experimental Neurology. 241. 56–66. 77 indexed citations
20.
Hao, Junwei, Ruolan Liu, Wenhua Piao, et al.. (2010). Central nervous system (CNS)–resident natural killer cells suppress Th17 responses and CNS autoimmune pathology. The Journal of Experimental Medicine. 207(9). 1907–1921. 179 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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