Xiaobo Mao

7.4k total citations · 1 hit paper
86 papers, 2.8k citations indexed

About

Xiaobo Mao is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Xiaobo Mao has authored 86 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 21 papers in Physiology and 16 papers in Neurology. Recurrent topics in Xiaobo Mao's work include Alzheimer's disease research and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Xiaobo Mao is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Xiaobo Mao collaborates with scholars based in China, United States and Germany. Xiaobo Mao's co-authors include Yanlian Yang, Valina L. Dawson, Chen Wang, Ted M. Dawson, Lin Niu, Hongchao Yang, Yinshu Wang, Xuemei Zhou, Gang Liu and Lei Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Xiaobo Mao

82 papers receiving 2.7k citations

Hit Papers

Neuronal NLRP3 is a parkin substrate that drives neurodeg... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson’s disease
    2022 139 citations Nikhil Panicker, Tae‐In Kam et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Mao China 31 952 570 563 522 422 86 2.8k
Veronica I. Shubayev United States 29 874 0.9× 1.2k 2.2× 438 0.8× 557 1.1× 788 1.9× 56 4.0k
Qiao Chen China 23 893 0.9× 198 0.3× 336 0.6× 1.1k 2.0× 800 1.9× 78 2.9k
R. Ann Sheldon United States 43 2.2k 2.3× 285 0.5× 429 0.8× 1.3k 2.4× 534 1.3× 97 6.5k
Marco Morsch Australia 25 757 0.8× 214 0.4× 511 0.9× 234 0.4× 360 0.9× 60 2.0k
Ashutosh Tiwari United States 32 1.3k 1.4× 518 0.9× 1.2k 2.2× 860 1.6× 352 0.8× 46 3.5k
Rui Sheng China 36 1.6k 1.6× 365 0.6× 256 0.5× 398 0.8× 180 0.4× 89 4.0k
Paolo Bigini Italy 31 944 1.0× 396 0.7× 509 0.9× 256 0.5× 371 0.9× 87 3.2k
Xiaohong Xu China 29 1.1k 1.2× 839 1.5× 217 0.4× 301 0.6× 255 0.6× 113 3.3k
Tongkai Chen China 34 1.1k 1.2× 243 0.4× 199 0.4× 804 1.5× 1.1k 2.5× 81 3.5k
Wandong Zhang Canada 35 2.0k 2.1× 931 1.6× 166 0.3× 261 0.5× 411 1.0× 105 5.1k

Countries citing papers authored by Xiaobo Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Mao. A scholar is included among the top collaborators of Xiaobo Mao 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 Xiaobo Mao. Xiaobo Mao 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.
Kuo, Grace m., et al.. (2025). Emerging targets of α-synuclein spreading in α-synucleinopathies: a review of mechanistic pathways and interventions. Molecular Neurodegeneration. 20(1). 10–10. 10 indexed citations
2.
Cheng, F. C., et al.. (2024). Nanozyme enabled protective therapy for neurological diseases. Nano Today. 54. 102142–102142. 39 indexed citations
3.
Zhang, Qi, et al.. (2024). Microstructure and mechanical properties of nano-TiBw/TC4 titanium matrix composite fabricated by laser solid forming. Materials Science and Engineering A. 923. 147736–147736. 3 indexed citations
4.
Hu, Yi, Lining Wu, Xiaobo Mao, et al.. (2023). Extracellular Vesicles: The Invisible Heroes and Villains of COVID‐19 Central Neuropathology. Advanced Science. 11(10). e2305554–e2305554. 2 indexed citations
5.
6.
Ying, Mingyao, et al.. (2023). The Interplay between α-Synuclein and Microglia in α-Synucleinopathies. International Journal of Molecular Sciences. 24(3). 2477–2477. 35 indexed citations
7.
Zhang, Xueying, Rui Gao, Yi Teng, et al.. (2023). Extracellular RNAs-TLR3 signaling contributes to cognitive impairment after chronic neuropathic pain in mice. Signal Transduction and Targeted Therapy. 8(1). 292–292. 24 indexed citations
8.
Liu, Quan, Huimin Jia, Yuping Tong, et al.. (2023). Vanadium Carbide Nanosheets with Broad-Spectrum Antioxidant Activity for Pulmonary Fibrosis Therapy. ACS Nano. 17(22). 22527–22538. 35 indexed citations
9.
Liu, Quan, Qi Yang, Yuping Tong, et al.. (2023). Multimechanism Collaborative Superior Antioxidant CDzymes To Alleviate Salt Stress-Induced Oxidative Damage in Plant Growth. ACS Sustainable Chemistry & Engineering. 11(10). 4237–4247. 52 indexed citations
10.
Hu, Junkai, et al.. (2023). Cell Therapy for Parkinson’s Disease. Pharmaceutics. 15(12). 2656–2656. 4 indexed citations
11.
Rosenthal, Liana S., et al.. (2022). Parkinson's disease fluid biomarkers for differential diagnosis of atypical parkinsonian syndromes. SHILAP Revista de lepidopterología. 3(1). 5 indexed citations
12.
Panicker, Nikhil, Tae‐In Kam, Hu Wang, et al.. (2022). Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson’s disease. Neuron. 110(15). 2422–2437.e9. 139 indexed citations breakdown →
13.
Liu, Yuqing, Kundlik Gadhave, Ning Wang, et al.. (2022). α-Synuclein fibril-specific nanobody reduces prion-like α-synuclein spreading in mice. Nature Communications. 13(1). 4060–4060. 49 indexed citations
14.
Wang, Liang & Xiaobo Mao. (2021). Role of Retinal Amyloid-β in Neurodegenerative Diseases: Overlapping Mechanisms and Emerging Clinical Applications. International Journal of Molecular Sciences. 22(5). 2360–2360. 47 indexed citations
15.
Wang, Wenliang, et al.. (2021). Functional Choline Phosphate Lipids for Enhanced Drug Delivery in Cancer Therapy. Chemistry of Materials. 33(2). 774–781. 39 indexed citations
16.
Li, Ping, Yonghai Feng, Dan Xia, et al.. (2020). Self-Assembled Peptide Nanofibrils Designed to Release Membrane-Lysing Antimicrobial Peptides. ACS Applied Bio Materials. 3(6). 3648–3655. 33 indexed citations
17.
Zhang, Liwei, Qingyu Chen, Ping Li, et al.. (2019). Deformation of stable and toxic hIAPP oligomers by liposomes with distinct nanomechanical features and reduced cytotoxicity. Chemical Communications. 55(95). 14359–14362. 11 indexed citations
18.
19.
Zhang, Liwei, Jie Wang, Yonghai Feng, et al.. (2018). Evaluation of the photo-degradation of Alzheimer's amyloid fibrils with a label-free approach. Chemical Communications. 54(93). 13084–13087. 17 indexed citations
20.
Zhang, Jianmin, Huaishan Wang, Omar Sherbini, et al.. (2016). High-Content Genome-Wide RNAi Screen RevealsCCR3as a Key Mediator of Neuronal Cell Death. eNeuro. 3(5). ENEURO.0185–16.2016. 19 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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