Zhiyan Sun

875 total citations
28 papers, 579 citations indexed

About

Zhiyan Sun is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhiyan Sun has authored 28 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhiyan Sun's work include Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Ferroptosis and cancer prognosis (8 papers). Zhiyan Sun is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Ferroptosis and cancer prognosis (8 papers). Zhiyan Sun collaborates with scholars based in China, Hong Kong and Portugal. Zhiyan Sun's co-authors include Tao Jiang, Xing Liu, Yinyan Wang, Shaowu Li, Xing Fan, Kaibin Xu, Zenghui Qian, Yiming Li, Zhang Zhong and Kai Wang and has published in prestigious journals such as Nucleic Acids Research, Molecular Biology and Evolution and Advanced Science.

In The Last Decade

Zhiyan Sun

25 papers receiving 578 citations

Peers

Zhiyan Sun

GENET

RNMI

PRM

Baoshi Chen China

Haoyu Jiang China

Changcun Pan China

Jan‐Michael Werner Germany

Haihui Jiang China

Thomas Urup Denmark

Ziren Kong China

Bethania Fernandes Italy

Maarten M.J. Wijnenga Netherlands

Kristin Alfaro-Munoz United States

Baoshi Chen China

Zhiyan Sun

396 ×1.3

GENET

211 ×0.8

RNMI

137 ×0.7

PRM

210 ×1.4

197 ×1.3

Citations per year, relative to Zhiyan Sun Zhiyan Sun (= 1×) peers Baoshi Chen

Countries citing papers authored by Zhiyan Sun

Since Specialization

Citations

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

Fields of papers citing papers by Zhiyan Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiyan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiyan Sun. A scholar is included among the top collaborators of Zhiyan Sun 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 Zhiyan Sun. Zhiyan Sun 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

Huang, Lujun, Xue Mei Su, Zhiyan Sun, et al.. (2025). Tempering properties of a new ultrahigh strength martensitic steel. Journal of Materials Research and Technology. 35. 5884–5893. 1 indexed citations

Wang, Fei, Bin He, Zixin Wang, et al.. (2025). Base-resolution profiling of 5-glyceryl-methylcytosine in Chlamydomonas reinhardtii via deaminase-assisted sequencing. Nucleic Acids Research. 53(18).

Wang, Zixin, Fengmao Chen, Bin He, et al.. (2025). Direct Sequencing of 5‐Methylcytosine and 5‐Hydroxymethylcytosine at Single‐Base Resolution Unravels Their Distinct Roles in Alzheimer's Disease. Advanced Science. 12(38). e07843–e07843.

Sun, Zhiyan, Tianyao Zhang, Yuan Yuan, et al.. (2025). Glioma grade discrimination based on class imbalance learning with terahertz spectral data. Infrared Physics & Technology. 147. 105809–105809. 1 indexed citations

Zhang, Tianyao, et al.. (2025). Design of a polarization-insensitive terahertz metamaterial biosensor for glioma tissue identification. Biomedical Optics Express. 16(6). 2337–2337. 1 indexed citations

Shan, Xia, et al.. (2025). A VAT1-related gene signature predicts radioresistance in gliomas. Heliyon. 11(4). e42583–e42583.

Jin, Feng, Zhongyu Wang, Bingjie Li, et al.. (2024). MicroRNAs: A novel signature in the metastasis of esophageal squamous cell carcinoma. World Journal of Gastroenterology. 30(11). 1497–1523. 6 indexed citations

Sun, Zhiyan, Tianyao Zhang, Xingyue Li, et al.. (2024). Ensemble learning prediction framework for EGFR amplification status of glioma based on terahertz spectral features. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 316. 124351–124351. 6 indexed citations

Sun, Zhiyan, Changlin Yang, Lijie Huang, et al.. (2023). circRNADisease v2.0: an updated resource for high-quality experimentally supported circRNA-disease associations. Nucleic Acids Research. 52(D1). D1193–D1200. 19 indexed citations

10.

Sun, Zhiyan, Tianyao Zhang, Xing Liu, et al.. (2023). Prediction of IDH mutation status of glioma based on terahertz spectral data. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 295. 122629–122629. 11 indexed citations

11.

Zhao, Zheng, Kenan Zhang, Zhiyan Sun, et al.. (2022). WES data from 286 diffuse gliomas under the 2021 WHO Classification of Tumors of the Central Nervous System. Scientific Data. 9(1). 692–692. 10 indexed citations

12.

Wang, Zhiliang, Ruoyu Huang, Bo Han, et al.. (2022). Identification of tumor-associated antigens and immune subtypes of lower-grade glioma and glioblastoma for mRNA vaccine development. Chinese Neurosurgical Journal. 8(1). 34–34. 8 indexed citations

13.

Huang, Ruoyu, et al.. (2022). A Novel TNFSF‐Based Signature Predicts the Prognosis and Immunosuppressive Status of Lower‐Grade Glioma. BioMed Research International. 2022(1). 3194996–3194996. 1 indexed citations

14.

Liu, Yukun, Ziwen Fan, Yiming Li, et al.. (2022). Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning. Frontiers in Neuroscience. 16. 855990–855990. 12 indexed citations

15.

Fan, Ziwen, Zhiyan Sun, Shengyu Fang, et al.. (2021). Preoperative Radiomics Analysis of 1p/19q Status in WHO Grade II Gliomas. Frontiers in Oncology. 11. 616740–616740. 16 indexed citations

16.

Qian, Zenghui, Wenhua Fan, Fanlin Meng, et al.. (2021). Molecular Characterization and Clinical Relevance of ANXA1 in Gliomas via 1,018 Chinese Cohort Patients. Frontiers in Cell and Developmental Biology. 9. 777182–777182. 10 indexed citations

17.

Fang, Shengyu, Ziwen Fan, Zhiyan Sun, et al.. (2021). Radiomics Features Predict Telomerase Reverse Transcriptase Promoter Mutations in World Health Organization Grade II Gliomas via a Machine-Learning Approach. Frontiers in Oncology. 10. 606741–606741. 18 indexed citations

18.

Sun, Zhiyan, Yiming Li, Yinyan Wang, et al.. (2019). Radiogenomic analysis of vascular endothelial growth factor in patients with diffuse gliomas. Cancer Imaging. 19(1). 68–68. 23 indexed citations

19.

Li, Yiming, Xing Liu, Zenghui Qian, et al.. (2018). Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature. European Radiology. 28(7). 2960–2968. 86 indexed citations

20.

Liu, Xing, Yiming Li, Zenghui Qian, et al.. (2018). A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas. NeuroImage Clinical. 20. 1070–1077. 153 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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