Yizhou Yu

1.5k total citations · 1 hit paper
34 papers, 749 citations indexed

About

Yizhou Yu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Yizhou Yu has authored 34 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Epidemiology. Recurrent topics in Yizhou Yu's work include Mitochondrial Function and Pathology (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 diagnosis using AI (5 papers). Yizhou Yu is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 diagnosis using AI (5 papers). Yizhou Yu collaborates with scholars based in United Kingdom, China and Hong Kong. Yizhou Yu's co-authors include L. Miguel Martins, Nuno Santos Leal, Rebeka Popovic, Marco Travaglio, Liza Selley, Giorgio Fedele, Samantha H. Y. Loh, Ivana Celardo, Zhen Zhou and Zheming Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Yizhou Yu

29 papers receiving 739 citations

Hit Papers

align trajectories sort by overperformance

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.

Links between air pollution and COVID-19 in England

2020 411 citations Marco Travaglio, Yizhou Yu et al. Environmental Pollution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yizhou Yu United Kingdom	10	256	255	131	86	83	34	749
Nuno Santos Leal United Kingdom	10	259 1.0×	255 1.0×	131 1.0×	11 0.1×	34 0.4×	16	914
Marco Travaglio United Kingdom	8	255 1.0×	255 1.0×	131 1.0×	10 0.1×	29 0.3×	10	540
Barbara Bodinier United Kingdom	16	174 0.7×	26 0.1×	106 0.8×	37 0.4×	54 0.7×	29	1.1k
Zhirong Liu China	16	28 0.1×	24 0.1×	71 0.5×	37 0.4×	74 0.9×	66	747
Yifei Yang United States	13	14 0.1×	43 0.2×	83 0.6×	28 0.3×	28 0.3×	41	501
Xinghui Li China	17	49 0.2×	25 0.1×	40 0.3×	20 0.2×	36 0.4×	43	968
John S. House United States	19	275 1.1×	13 0.1×	30 0.2×	22 0.3×	55 0.7×	60	1.0k
Qiong Meng China	17	207 0.8×	28 0.1×	9 0.1×	31 0.4×	43 0.5×	53	819
Xixi Feng China	14	78 0.3×	7 0.0×	78 0.6×	20 0.2×	20 0.2×	32	623
Min Fan China	17	62 0.2×	7 0.0×	16 0.1×	44 0.5×	66 0.8×	73	758

Countries citing papers authored by Yizhou Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yizhou Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhou Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yizhou Yu. A scholar is included among the top collaborators of Yizhou Yu 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 Yizhou Yu. Yizhou Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mukherjee, Amrita, Rebeka Popovic, Yizhou Yu, et al.. (2025). Oral administration of aripiprazole to Drosophila causes intestinal toxicity. Disease Models & Mechanisms. 18(3).

Stefanatos, Rhoda, Fiona Robertson, Beatriz Castejón‐Vega, et al.. (2025). Developmental mitochondrial complex I activity determines lifespan. EMBO Reports. 26(8). 1957–1983.

Yu, Yizhou, Ivana Celardo, Betty Tan, et al.. (2024). Enhancing mitochondrial one-carbon metabolism is neuroprotective in Alzheimer’s disease models. Cell Death and Disease. 15(11). 856–856. 1 indexed citations

Wang, Yingshuo, Xiaoqing Liu, Jing Li, et al.. (2024). Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data. Health Informatics Journal. 30(2). 1 indexed citations

Cao, Kun, Fei Gao, Chencui Huang, et al.. (2024). Peri-lesion regions in differentiating suspicious breast calcification-only lesions specifically on contrast enhanced mammography. Journal of X-Ray Science and Technology. 32(3). 583–596. 5 indexed citations

Guo, Lili, Changsheng Zhou, Jingxu Xu, et al.. (2024). Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance. Journal of Imaging Informatics in Medicine. 37(3). 922–934. 7 indexed citations

Chung, Injae, Yizhou Yu, Samantha H. Y. Loh, et al.. (2023). The antipsychotic medications aripiprazole, brexpiprazole and cariprazine are off-target respiratory chain complex I inhibitors. Biology Direct. 18(1). 43–43. 7 indexed citations

Popovic, Rebeka, Yizhou Yu, Nuno Santos Leal, et al.. (2023). Upregulation of Tribbles decreases body weight and increases sleep duration. Disease Models & Mechanisms. 16(4). 3 indexed citations

Popovic, Rebeka, Amrita Mukherjee, Nuno Santos Leal, et al.. (2023). Blocking dPerk in the intestine suppresses neurodegeneration in a Drosophila model of Parkinson’s disease. Cell Death and Disease. 14(3). 206–206. 8 indexed citations

10.

Travaglio, Marco, Filippos Michopoulos, Yizhou Yu, et al.. (2023). Increased cysteine metabolism in PINK1 models of Parkinson's disease. Disease Models & Mechanisms. 16(1). 21 indexed citations

11.

Liu, Yunxia, Weifang Liu, Haipeng Chen, et al.. (2023). Artificial intelligence versus radiologist in the accuracy of fracture detection based on computed tomography images: a multi-dimensional, multi-region analysis. Quantitative Imaging in Medicine and Surgery. 13(10). 6424–6433. 13 indexed citations

12.

Li, Jing, Yingshuo Wang, Xiaoqing Liu, et al.. (2022). Interpretable modeling and discovery of key predictors for pneumonia diagnosis in children based on electronic medical records. Digital Health. 8. 2282130415–2282130415. 2 indexed citations

13.

Yu, Yizhou, Giorgio Fedele, Ivana Celardo, Samantha H. Y. Loh, & L. Miguel Martins. (2021). Parp mutations protect from mitochondrial toxicity in Alzheimer’s disease. Cell Death and Disease. 12(7). 651–651. 33 indexed citations

14.

Leal, Nuno Santos, et al.. (2021). Paracetamol Is Associated with a Lower Risk of COVID-19 Infection and Decreased ACE2 Protein Expression: A Retrospective Analysis. COVID. 1(1). 218–229. 23 indexed citations

15.

Yu, Yizhou, Marco Travaglio, Rebeka Popovic, Nuno Santos Leal, & L. Miguel Martins. (2021). Alzheimer’s and Parkinson’s Diseases Predict Different COVID-19 Outcomes: A UK Biobank Study. Geriatrics. 6(1). 10–10. 48 indexed citations

16.

Lin, Aaron, et al.. (2021). Optimizing Existing Mental Health Screening Methods in a Dementia Screening and Risk Factor App: Observational Machine Learning Study. JMIR Formative Research. 6(3). e31209–e31209. 3 indexed citations

17.

Li, Ning, Yan Mo, Chencui Huang, et al.. (2021). A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features. Frontiers in Oncology. 11. 752158–752158. 36 indexed citations

18.

Huang, Shan, Yuancheng Wang, Zhen Zhou, et al.. (2021). Distribution Atlas of COVID-19 Pneumonia on Computed Tomography: A Deep Learning Based Description. PubMed. 1(2). 62–72. 9 indexed citations

19.

Travaglio, Marco, Yizhou Yu, Rebeka Popovic, et al.. (2020). Links between air pollution and COVID-19 in England. Environmental Pollution. 268(Pt A). 115859–115859. 411 indexed citations breakdown →

20.

Qi, Linlin, Jianwei Wang, Lin Yang, et al.. (2020). Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning–assisted nodule segmentation. European Radiology. 31(6). 3884–3897. 24 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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