Ying Wan

4.3k total citations · 1 hit paper
125 papers, 3.0k citations indexed

About

Ying Wan is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Ying Wan has authored 125 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 40 papers in Immunology and 21 papers in Neurology. Recurrent topics in Ying Wan's work include Immunotherapy and Immune Responses (21 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and Immune Cell Function and Interaction (16 papers). Ying Wan is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and Immune Cell Function and Interaction (16 papers). Ying Wan collaborates with scholars based in China, United States and Australia. Ying Wan's co-authors include Qi-Jing Li, Shan Jiang, Yuzhang Wu, Lin He, Liyun Zou, Margaret Hopwood, Erik Lykken, Gang Chen, Qingzhu Jia and Chaoran Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Ying Wan

120 papers receiving 3.0k citations

Hit Papers

Cancer-cell-derived GABA promotes β-catenin-mediated tumo... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Wan China 29 1.4k 845 748 346 334 125 3.0k
Norio Yamamoto Japan 33 1.8k 1.3× 436 0.5× 887 1.2× 257 0.7× 865 2.6× 155 5.0k
Roopali Gandhi United States 29 1.7k 1.2× 754 0.9× 1.3k 1.7× 193 0.6× 335 1.0× 47 3.6k
Lars Vereecke Belgium 25 1.6k 1.2× 821 1.0× 1.9k 2.5× 115 0.3× 416 1.2× 46 3.7k
Jian Song China 34 1.6k 1.2× 464 0.5× 922 1.2× 104 0.3× 555 1.7× 163 3.8k
Frederick W. Holtsberg United States 29 1.2k 0.9× 491 0.6× 430 0.6× 135 0.4× 228 0.7× 53 3.2k
Wei Jin China 29 1.4k 1.0× 679 0.8× 1.9k 2.6× 114 0.3× 568 1.7× 72 3.8k
Edward Yang United States 27 1.2k 0.9× 342 0.4× 474 0.6× 163 0.5× 413 1.2× 108 3.2k
Stephen N. Sansom United Kingdom 28 2.1k 1.5× 552 0.7× 1.0k 1.4× 95 0.3× 230 0.7× 36 3.7k
Nathalie Pochet United States 23 1.6k 1.1× 417 0.5× 460 0.6× 125 0.4× 188 0.6× 52 2.9k
Xiling Shen United States 33 2.1k 1.5× 774 0.9× 630 0.8× 84 0.2× 912 2.7× 95 4.4k

Countries citing papers authored by Ying Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wan. A scholar is included among the top collaborators of Ying Wan 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 Ying Wan. Ying Wan 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.
Wan, Ying, et al.. (2025). Do the gait domains change in PD patients with freezing of gait during their ‘interictal’ period?. BMC Geriatrics. 25(1). 21–21. 1 indexed citations
2.
Yang, Yuhan, Wei Long, Xiangyu Pei, et al.. (2025). Atorvastatin‐Loaded Mineralized Vaccine Reprograms Endosomal Trafficking to Amplify STING‐Driven Cancer Immunotherapy. Angewandte Chemie International Edition. 64(37). e202503749–e202503749.
3.
Chen, Shanshan, Jia‐Xin Wang, Hao Lü, et al.. (2025). Machine learning-driven prediction of eye irritation toxicity: Integration of in silico and in vitro study. Toxicology and Applied Pharmacology. 502. 117457–117457. 1 indexed citations
4.
Yang, Shuyuan, Lu Song, Yu Zhang, et al.. (2024). Tianqi pingchan granule promotes recovery of glymphatic system function in a rat model of l-DOPA-induced dyskinesia. Journal of Traditional and Complementary Medicine. 15(4). 380–387.
5.
Zheng, Zihan, X. Qiu, Haiyang Wu, et al.. (2021). TIPS: trajectory inference of pathway significance through pseudotime comparison for functional assessment of single-cell RNAseq data. Briefings in Bioinformatics. 22(5). 7 indexed citations
7.
Zhang, Jiale, Jiangbei Yuan, Zihan Zheng, et al.. (2020). MiR-26a targets EphA2 to resist intracellular Listeria monocytogenes in macrophages. Molecular Immunology. 128. 69–78. 11 indexed citations
8.
9.
Chen, Tao, Ying Wan, Junqiu Yue, et al.. (2020). Comprehensive mutanome analysis of Lewis lung cancer reveals immunogenic neoantigens for therapeutic vaccines. Biochemical and Biophysical Research Communications. 525(3). 607–613. 6 indexed citations
10.
Zhang, Jianyang, Zihan Zheng, Gang Chen, et al.. (2020). VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis. Frontiers in Genetics. 11. 771–771. 6 indexed citations
11.
Luó, Xióngbiāo, Xiangjian He, Chaoyang Shi, et al.. (2019). Evolutionarily Optimized Electromagnetic Sensor Measurements for Robust Surgical Navigation. IEEE Sensors Journal. 19(22). 10859–10868. 12 indexed citations
12.
Wan, Ying, Yingying Zhu, Yi Luo, et al.. (2019). Determinants of diagnostic latency in Chinese people with Parkinson’s disease. BMC Neurology. 19(1). 120–120. 9 indexed citations
13.
Wan, Ying, et al.. (2018). A New Stereo Matching Algorithm Based on Adaptive Weight SAD Algorithm and Census Algorithm. Bulletin of Surveying and Mapping. 11.
14.
Wan, Ying, et al.. (2018). Rab32‐related antimicrobial pathway is involved in the progression of dextran sodium sulfate‐induced colitis. FEBS Open Bio. 8(10). 1658–1668. 6 indexed citations
15.
Zhang, Baojun, Si-Qi Liu, Chaoran Li, et al.. (2016). MicroRNA-23a Curbs Necrosis during Early T Cell Activation by Enforcing Intracellular Reactive Oxygen Species Equilibrium. Immunity. 44(3). 568–581. 47 indexed citations
16.
Zhu, Yingying, Ying Wan, Yi Luo, et al.. (2015). Potential influencing factors of time from onset to clinical diagnosis and misdiagnosis rate of Parkinson's patients in Shanghai. Chin J Neurol. 48(11). 995–999. 1 indexed citations
17.
Luó, Xióngbiāo, Ying Wan, Xiangjian He, & Kensaku Mori. (2014). Adaptive marker-free registration using a multiple point strategy for real-time and robust endoscope electromagnetic navigation. Computer Methods and Programs in Biomedicine. 118(2). 147–157. 8 indexed citations
18.
Liang, Yajie, Sen Lin, Liyun Zou, et al.. (2012). Expression profiling of Rab GTPases reveals the involvement of Rab20 and Rab32 in acute brain inflammation in mice. Neuroscience Letters. 527(2). 110–114. 25 indexed citations
19.
Tang, Xu-Dong, Guangping Liang, Chuan Li, et al.. (2010). Cytotoxic T lymphocyte epitopes from human heparanase can elicit a potent anti-tumor immune response in mice. Cancer Immunology Immunotherapy. 59(7). 1041–1047. 19 indexed citations
20.
Wan, Ying, et al.. (2003). Prediction of the Secondary Structure and B Cell Epitopes for the M Protein of SARS Coronavirus. 23(6). 41–45. 2 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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