Kun Xiang

541 total citations
19 papers, 361 citations indexed

About

Kun Xiang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hepatology. According to data from OpenAlex, Kun Xiang has authored 19 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Hepatology. Recurrent topics in Kun Xiang's work include MRI in cancer diagnosis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Gut microbiota and health (3 papers). Kun Xiang is often cited by papers focused on MRI in cancer diagnosis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Gut microbiota and health (3 papers). Kun Xiang collaborates with scholars based in China and Australia. Kun Xiang's co-authors include Hai‐Feng Pan, Yisheng He, Yuqian Hu, Su Zhang, Shujing Li, Zhiwei Xu, Xiao‐Ke Yang, De‐Guang Wang, Peng Wang and Ya-Ting Feng and has published in prestigious journals such as Environmental Pollution, Frontiers in Immunology and Preventive Medicine.

In The Last Decade

Kun Xiang

15 papers receiving 359 citations

Peers

Kun Xiang
Kun Xiang
Citations per year, relative to Kun Xiang Kun Xiang (= 1×) peers Vipin Gupta

Countries citing papers authored by Kun Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Xiang

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

All Works

19 of 19 papers shown
1.
Ma, Hui, Jiaxing Yang, Liping Fan, et al.. (2025). A Family of Three-Level Pseudo Totem-Pole PFC Rectifiers With Derivation Methods. IEEE Journal of Emerging and Selected Topics in Power Electronics. 13(6). 7547–7559.
2.
Huang, Yuehua, et al.. (2025). Fault Arc Detection Method Based on Improved ShuffleNet V2 Network. Processes. 13(1). 135–135. 2 indexed citations
4.
Li, Chengxi, et al.. (2024). Association of lifestyle behaviors and oral health care needs: Mediating effects of inflammatory markers. Preventive Medicine. 184. 108003–108003. 3 indexed citations
5.
Li, Basen, et al.. (2023). A Randomized Comparison of Transradial and Transfemoral Approach inHepatic Arterial Infusion Chemotherapy. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20.
6.
Xiang, Kun, Chengxi Li, Ran Chen, & Chunhui Zhao. (2023). Genetically predicted gut microbiome and risk of oral cancer. Cancer Causes & Control. 35(3). 429–435. 3 indexed citations
7.
Liu, Xin, et al.. (2022). Prognostic Value of Intratumor Metabolic Heterogeneity Parameters on 18F‐FDG PET/CT for Patients with Colorectal Cancer. Contrast Media & Molecular Imaging. 2022(1). 2586245–2586245. 13 indexed citations
8.
Xiang, Kun, et al.. (2022). Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk. Frontiers in Endocrinology. 13. 780133–780133. 19 indexed citations
9.
10.
Xiang, Kun, Peng Wang, Zhiwei Xu, et al.. (2021). Causal Effects of Gut Microbiome on Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study. Frontiers in Immunology. 12. 667097–667097. 146 indexed citations
11.
Zhang, Su, Kun Xiang, Shujing Li, & Hai‐Feng Pan. (2021). Physical activity and depression in older adults: the knowns and unknowns. Psychiatry Research. 297. 113738–113738. 66 indexed citations
12.
Wu, Xun, Di Wang, Kun Xiang, et al.. (2021). Cardiac Repair With Echocardiography-Guided Multiple Percutaneous Left Ventricular Intramyocardial Injection of hiPSC-CMs After Myocardial Infarction. Frontiers in Cardiovascular Medicine. 8. 5 indexed citations
13.
Xiang, Kun, et al.. (2021). Advances in traditional Chinese medicine for cardiovascular disease therapy in 2020. Traditional Medicine Research. 6(3). 27–27. 3 indexed citations
15.
Wu, Qian, Zhiwei Xu, Yi‐Lin Dan, et al.. (2020). Association between traffic-related air pollution and hospital readmissions for rheumatoid arthritis in Hefei, China: A time-series study. Environmental Pollution. 268(Pt A). 115628–115628. 50 indexed citations
16.
He, Yisheng, Xiao‐Ke Yang, Yuqian Hu, Kun Xiang, & Hai‐Feng Pan. (2020). Emerging role of Fli1 in autoimmune diseases. International Immunopharmacology. 90. 107127–107127. 16 indexed citations
17.
Wu, Qian, Yi‐Lin Dan, Yisheng He, et al.. (2020). Circulating Meteorin-like Levels in Patients with Type 2 Diabetes Mellitus: A Meta-Analysis. Current Pharmaceutical Design. 26(44). 5732–5738. 19 indexed citations
19.
Xiang, Kun & Deyong Song. (2016). Spatial Analysis of China Province-level Perinatal Mortality.. PubMed. 45(5). 614–22. 8 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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