Yun Yu

425 total citations
25 papers, 292 citations indexed

About

Yun Yu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yun Yu has authored 25 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yun Yu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yun Yu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yun Yu collaborates with scholars based in China, United States and Hong Kong. Yun Yu's co-authors include Dalong Zhu, Weihong Zhou, Yan Bi, Xiaolu Xiong, Rongxin Zhang, Junjie Wang, Gaoxin Zhou, Jin Sun, Tingting Miao and Jie Hu and has published in prestigious journals such as Bioinformatics, Small and BMJ Open.

In The Last Decade

Yun Yu

24 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Yu China 10 70 44 34 32 31 25 292
Pu Ai China 11 61 0.9× 57 1.3× 10 0.3× 9 0.3× 10 0.3× 21 373
Yuxin Wang China 10 79 1.1× 9 0.2× 17 0.5× 13 0.4× 28 0.9× 50 304
Pashupati P. Mishra Finland 12 197 2.8× 28 0.6× 8 0.2× 24 0.8× 21 0.7× 39 402
A. Jacobs United States 12 64 0.9× 16 0.4× 20 0.6× 9 0.3× 8 0.3× 20 318
Ruchi Patel United States 8 122 1.7× 24 0.5× 9 0.3× 54 1.7× 7 0.2× 21 557
Mahmoud Ahmed Ebada Egypt 11 86 1.2× 34 0.8× 33 1.0× 26 0.8× 6 0.2× 35 400
Marko Kapalla Slovakia 5 95 1.4× 34 0.8× 22 0.6× 18 0.6× 4 0.1× 8 340
Joseph Sutton United States 5 72 1.0× 10 0.2× 13 0.4× 12 0.4× 16 0.5× 12 288
Jae Hyung Cho United States 9 111 1.6× 74 1.7× 10 0.3× 6 0.2× 7 0.2× 19 403
A Prasad United Kingdom 8 45 0.6× 91 2.1× 9 0.3× 19 0.6× 15 0.5× 22 558

Countries citing papers authored by Yun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Yu. A scholar is included among the top collaborators of Yun 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 Yun Yu. Yun Yu 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.
Guo, Tian‐Zhi, Yun Yu, Xia Wang, Yuqin Sun, & Chao Yang. (2025). Correlates of antenatal anxiety: smartphone use, depressive symptoms, and hypertensive disorders in a cross-sectional study in Southwest China. Frontiers in Medicine. 12. 1682499–1682499.
2.
Yu, Yun, et al.. (2024). Red blood cell transfusion in neurocritical patients: a systematic review and meta-analysis. BMC Anesthesiology. 24(1). 106–106. 8 indexed citations
3.
Wang, Jingyu, et al.. (2023). Prediction of submitochondrial proteins localization based on Gene Ontology. Computers in Biology and Medicine. 167. 107589–107589. 1 indexed citations
4.
Zhang, Hongjian, Junxia Zhang, Yifang Hu, et al.. (2023). Deep-learning and conventional radiomics to predict IDH genotyping status based on magnetic resonance imaging data in adult diffuse glioma. Frontiers in Oncology. 13. 1143688–1143688. 11 indexed citations
5.
Wang, Junjie, et al.. (2022). MGPLI: exploring multigranular representations for protein–ligand interaction prediction. Bioinformatics. 38(21). 4859–4867. 23 indexed citations
6.
Yu, Yun, Kaipeng Xie, Qinglin Lou, et al.. (2022). The clinical characteristics of Chinese elderly patients with different durations of type 2 diabetes mellitus. Frontiers in Endocrinology. 13. 904347–904347. 6 indexed citations
7.
Wan, Cheng, et al.. (2022). Identification and Impact Analysis of Family History of Psychiatric Disorder in Mood Disorder Patients With Pretrained Language Model. Frontiers in Psychiatry. 13. 861930–861930. 4 indexed citations
8.
Hu, Guanjie, Xin‐Hua Hu, Kun Yang, et al.. (2022). Radiomics-Based Machine Learning to Predict Recurrence in Glioma Patients Using Magnetic Resonance Imaging. Journal of Computer Assisted Tomography. 47(1). 129–135. 4 indexed citations
9.
Cai, Weiwei, Yun Yu, Ying Wang, et al.. (2021). The glycolysis inhibitor 2-deoxyglucose ameliorates adjuvant-induced arthritis by regulating macrophage polarization in an AMPK-dependent manner. Molecular Immunology. 140. 186–195. 39 indexed citations
10.
Dai, Hongyan, Yangyang Liu, Yan Zhu, Yun Yu, & Lin Meng. (2021). Study on the methodology of striae gravidarum severity evaluation. BioMedical Engineering OnLine. 20(1). 109–109. 4 indexed citations
11.
Yu, Yun, Xi Wu, Jiu Chen, et al.. (2021). Characterizing Brain Tumor Regions Using Texture Analysis in Magnetic Resonance Imaging. Frontiers in Neuroscience. 15. 634926–634926. 7 indexed citations
12.
Miao, Tingting, Yun Yu, Jin Sun, et al.. (2021). Decrease in abundance of bacteria of the genus Bifidobacterium in gut microbiota may be related to pre-eclampsia progression in women from East China. Food & Nutrition Research. 65. 30 indexed citations
14.
Chen, Lin, et al.. (2021). Identification and development of an independent immune-related genes prognostic model for breast cancer. BMC Cancer. 21(1). 329–329. 10 indexed citations
15.
16.
Hu, Xin‐Hua, et al.. (2020). APPLICATION OF FUNCTIONAL NEAR-INFRARED SPECTROSCOPY IN NEUROLOGICAL DISEASES: EPILEPSY, STROKE AND PARKINSON. Journal of Mechanics in Medicine and Biology. 20(10). 2040023–2040023. 2 indexed citations
17.
Zhang, Xin, Gong Cheng, Kaidi Cao, et al.. (2020). A predictive model for respiratory distress in patients with COVID-19: a retrospective study. Annals of Translational Medicine. 8(23). 1585–1585. 4 indexed citations
18.
Yu, Yun, et al.. (2020). Differences in early‐phase insulin secretion and glucose disposition index between aged and middle‐aged patients with newly diagnosed type 2 diabetes. Geriatrics and gerontology international. 20(3). 206–211. 2 indexed citations
19.
Yu, Yun, et al.. (2019). Development and psychometric properties of the maternal health needs scale in Chinese maternal women. Midwifery. 81. 102588–102588. 4 indexed citations
20.
Xiong, Xiaolu, Rongxin Zhang, Yan Bi, et al.. (2019). Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults. Current Medical Science. 39(4). 582–588. 40 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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