Kun Yan

2.1k total citations
72 papers, 1.6k citations indexed

About

Kun Yan is a scholar working on Hepatology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Yan has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Hepatology, 31 papers in Epidemiology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Yan's work include Hepatocellular Carcinoma Treatment and Prognosis (49 papers), Liver Disease Diagnosis and Treatment (26 papers) and Ultrasound and Hyperthermia Applications (11 papers). Kun Yan is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (49 papers), Liver Disease Diagnosis and Treatment (26 papers) and Ultrasound and Hyperthermia Applications (11 papers). Kun Yan collaborates with scholars based in China, Ethiopia and United States. Kun Yan's co-authors include Minhua Chen, Wei Yang, Ying Dai, Shanshan Yin, Wei Yang, Zhihui Fan, Wei Wu, Ying Dai, Wen Gao and Ji‐Bin Liu and has published in prestigious journals such as Cancer Research, Radiology and American Journal of Roentgenology.

In The Last Decade

Kun Yan

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Yan China 21 900 584 371 362 343 72 1.6k
Zuo‐Feng Xu China 23 990 1.1× 606 1.0× 567 1.5× 614 1.7× 345 1.0× 42 1.7k
Luca Cova Italy 15 1.3k 1.4× 446 0.8× 449 1.2× 796 2.2× 539 1.6× 25 2.2k
Hiromitsu Onishi Japan 23 721 0.8× 558 1.0× 319 0.9× 294 0.8× 1.1k 3.2× 95 2.2k
Sylvain Terraz Switzerland 27 1.8k 2.0× 767 1.3× 486 1.3× 788 2.2× 562 1.6× 84 2.9k
F. Cremona Italy 12 838 0.9× 414 0.7× 277 0.7× 388 1.1× 132 0.4× 21 1.3k
Roberto Iezzi Italy 24 621 0.7× 320 0.5× 1.0k 2.8× 681 1.9× 441 1.3× 181 2.1k
Antonio Giorgio Italy 18 1.2k 1.4× 806 1.4× 231 0.6× 353 1.0× 159 0.5× 37 1.6k
James T. Bui United States 23 1.2k 1.3× 824 1.4× 395 1.1× 1.2k 3.3× 159 0.5× 90 2.3k
Zhiyu Han China 22 727 0.8× 388 0.7× 458 1.2× 734 2.0× 200 0.6× 122 1.8k
S. Mouli United States 25 1.3k 1.5× 611 1.0× 669 1.8× 625 1.7× 272 0.8× 69 2.0k

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yan. A scholar is included among the top collaborators of Kun Yan 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 Yan. Kun Yan 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.
Yan, Kun, et al.. (2025). Multi-omics profiling of intercellular immunometabolic heterogeneity highlights in lung cancer: Crosstalk mechanisms and resistance in the tumor–immune interface. Critical Reviews in Oncology/Hematology. 219. 105094–105094. 1 indexed citations
2.
Fu, Ying, Yutao Lei, Yühong Huang, et al.. (2024). Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study. European Radiology. 34(11). 7080–7089. 7 indexed citations
3.
Lu, Zhi‐Meng, et al.. (2023). Single-cell RNA sequencing reveals distinct tumor microenvironment of ground glass nodules and solid nodules in lung adenocarcinoma. Frontiers in Cell and Developmental Biology. 11. 1198338–1198338. 2 indexed citations
4.
Zhao, Pu, Yanjie Wang, Yi Hu, et al.. (2023). Mechanistic study of ultrasound and microbubble enhanced cancer therapy in a 3D vascularized microfluidic cancer model. Ultrasonics Sonochemistry. 101. 106709–106709. 4 indexed citations
5.
Jing, Xiang, Xiaolin Zhu, Bin Lv, et al.. (2022). A Multicenter Randomized Controlled Study of Contrast-enhanced US versus US-guided Biopsy of Focal Liver Lesions. Radiology. 305(3). 721–728. 23 indexed citations
6.
Zhang, Zhongyi, Anna Jiang, Wei Yang, et al.. (2022). Percutaneous Radiofrequency Ablation Is an Effective Method for Local Control of Liver Metastases From Lung Cancer. Frontiers in Oncology. 12. 877273–877273. 5 indexed citations
7.
Wang, Yanjie, Kun Yan, Zhihui Fan, et al.. (2021). Clinical value of contrast-enhanced ultrasound enhancement patterns for differentiating solid pancreatic lesions. European Radiology. 32(3). 2060–2069. 12 indexed citations
8.
Liu, Teli, Ning Zhang, Xiaoyi Guo, et al.. (2021). 64Cu-PSMA-BCH: a new radiotracer for delayed PET imaging of prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(13). 4508–4516. 17 indexed citations
9.
Liu, Chen, Teli Liu, Zhongyi Zhang, et al.. (2020). 68Ga-PSMA PET/CT Combined with PET/Ultrasound-Guided Prostate Biopsy Can Diagnose Clinically Significant Prostate Cancer in Men with Previous Negative Biopsy Results. Journal of Nuclear Medicine. 61(9). 1314–1319. 61 indexed citations
10.
Barr, R. Graham, Pintong Huang, Yan Luo, et al.. (2020). Contrast-enhanced ultrasound imaging of the liver: a review of the clinical evidence for SonoVue and Sonazoid. Abdominal Radiology. 45(11). 3779–3788. 60 indexed citations
11.
Liu, Wei, Zhongyi Zhang, Shanshan Yin, Kun Yan, & Baocai Xing. (2020). Contrast-Enhanced Intraoperative Ultrasound Improved Sensitivity and Positive Predictive Value in Colorectal Liver Metastasis: a Systematic Review and Meta-Analysis. Annals of Surgical Oncology. 28(7). 3763–3773. 7 indexed citations
12.
Yan, Kun. (2012). Quantitative analysis with CEUS in differential diagnosis of pancreatic carcinoma and mass forming pancreatitis. Zhongguo yixue yingxiang jishu. 3 indexed citations
13.
Li, Jinluan, Yong Cai, Shanwen Zhang, et al.. (2011). Combination of recombinant adenovirus-p53 with radiochemotherapy in unresectable pancreatic carcinoma. Chinese Journal of Cancer Research. 23(3). 194–200. 6 indexed citations
14.
Yang, Wei, Minhua Chen, Maoqiang Wang, et al.. (2008). Combination therapy of radiofrequency ablation and transarterial chemoembolization in recurrent hepatocellular carcinoma after hepatectomy compared with single treatment. Hepatology Research. 39(3). 231–240. 51 indexed citations
15.
Yang, Wei, Kun Yan, Ying Dai, et al.. (2007). The role of contrast-enhanced ultrasound in planning treatment protocols for hepatocellular carcinoma before radiofrequency ablation. Clinical Radiology. 62(8). 752–760. 20 indexed citations
16.
Yang, Wei, et al.. (2007). Differential diagnosis of non-functional islet cell tumor and pancreatic carcinoma with sonography. European Journal of Radiology. 62(3). 342–351. 18 indexed citations
17.
18.
Dai, Ying, et al.. (2006). The role of contrast-enhanced ultrasound on the diagnosis of small hepatocellular carcinoma (≤3cm) in patients with cirrhosis. Hepatology Research. 35(4). 281–288. 20 indexed citations
19.
Chen, Minhua, Wei Yang, Kun Yan, et al.. (2006). Treatment Strategy to Optimize Radiofrequency Ablation for Liver Malignancies. Journal of Vascular and Interventional Radiology. 17(4). 671–683. 59 indexed citations
20.

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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