Chun Yang

2.3k total citations · 1 hit paper
103 papers, 1.3k citations indexed

About

Chun Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Surgery. According to data from OpenAlex, Chun Yang has authored 103 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Hepatology and 36 papers in Surgery. Recurrent topics in Chun Yang's work include Hepatocellular Carcinoma Treatment and Prognosis (43 papers), MRI in cancer diagnosis (32 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (29 papers). Chun Yang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (43 papers), MRI in cancer diagnosis (32 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (29 papers). Chun Yang collaborates with scholars based in China, United States and Taiwan. Chun Yang's co-authors include Mengsu Zeng, Shengxiang Rao, Li Yang, Ruofan Sheng, Caizhong Chen, Wentao Wang, Ying Ding, Huanhuan Chong, Dongsheng Gu and Jingwei Wei and has published in prestigious journals such as PLoS ONE, Gene and Nanotechnology.

In The Last Decade

Chun Yang

88 papers receiving 1.2k citations

Hit Papers

Multi-scale and multi-parametric radiomics of gadoxetate ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Yang China 18 726 654 334 309 213 103 1.3k
Akihisa Ueno Japan 16 512 0.7× 240 0.4× 185 0.6× 264 0.9× 291 1.4× 51 1.2k
Rimma Axelsson Sweden 18 296 0.4× 214 0.3× 236 0.7× 234 0.8× 156 0.7× 66 921
Thomas K. Rhee United States 13 370 0.5× 572 0.9× 110 0.3× 203 0.7× 197 0.9× 18 877
Teresa Szyszko United Kingdom 15 243 0.3× 140 0.2× 155 0.5× 231 0.7× 209 1.0× 39 818
Ryo Toya Japan 18 545 0.8× 130 0.2× 251 0.8× 264 0.9× 206 1.0× 86 1.3k
H. Mesbah France 17 398 0.5× 537 0.8× 234 0.7× 296 1.0× 230 1.1× 38 1.2k
Shinji Shinohara Japan 16 210 0.3× 198 0.3× 144 0.4× 295 1.0× 261 1.2× 100 890
Yuichiro Kubo Japan 16 163 0.2× 186 0.3× 224 0.7× 108 0.3× 175 0.8× 41 664
Yutaka Hirokawa Japan 19 639 0.9× 121 0.2× 301 0.9× 1.2k 3.8× 226 1.1× 64 1.6k
Catherine McBain United Kingdom 22 362 0.5× 42 0.1× 268 0.8× 385 1.2× 360 1.7× 57 1.4k

Countries citing papers authored by Chun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Yang. A scholar is included among the top collaborators of Chun Yang 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 Chun Yang. Chun Yang 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, Cheng, Xi Jia, Yan Xiao, et al.. (2025). Comparative evaluation of non-contrast MRI versus gadoxetic acid-enhanced abbreviated protocols in detecting colorectal liver metastases. Insights into Imaging. 16(1). 3–3. 1 indexed citations
5.
Huang, Peng, Yunfei Zhang, Xin Lü, et al.. (2024). Component prediction in combined hepatocellular carcinoma-cholangiocarcinoma: habitat imaging and its biologic underpinnings. Abdominal Radiology. 49(4). 1063–1073. 3 indexed citations
6.
Sheng, Ruofan, Chun Yang, Yunfei Zhang, et al.. (2023). The significance of the predominant component in combined hepatocellular-cholangiocarcinoma: MRI manifestation and prognostic value. La radiologia medica. 128(9). 1047–1060. 5 indexed citations
7.
Qian, Xianling, Qing Wang, Yunfei Zhang, et al.. (2023). Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma. La radiologia medica. 128(11). 1296–1309. 19 indexed citations
8.
Ni, Xiaoyan, et al.. (2023). Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma. Cancer Imaging. 23(1). 15–15. 10 indexed citations
9.
Zhang, Yunfei, Chun Yang, Ruofan Sheng, Yongming Dai, & Mengsu Zeng. (2023). Predicting the recurrence of hepatocellular carcinoma (≤ 5 cm) after resection surgery with promising risk factors: habitat fraction of tumor and its peritumoral micro-environment. La radiologia medica. 128(10). 1181–1191. 16 indexed citations
10.
Zhang, Yunfei, Jiejun Chen, Chun Yang, Yongming Dai, & Mengsu Zeng. (2023). Preoperative prediction of microvascular invasion in hepatocellular carcinoma using diffusion-weighted imaging–based habitat imaging. European Radiology. 34(5). 3215–3225. 13 indexed citations
11.
Yang, Chun, et al.. (2022). The association of 20 short tandem repeat loci of autosomal chromosome with male schizophrenia. Brain and Behavior. 12(7). e2637–e2637. 3 indexed citations
12.
Wang, Yi, Gui‐Qi Zhu, Na Li, et al.. (2021). A multidimensional nomogram combining imaging features and clinical factors to predict the invasiveness and metastasis of combined hepatocellular cholangiocarcinoma. Annals of Translational Medicine. 9(20). 1518–1518. 10 indexed citations
14.
Yang, Chun, Zekun Jiang, Liheng Liu, & Mengsu Zeng. (2019). Pre-treatment ADC image-based random forest classifier for identifying resistant rectal adenocarcinoma to neoadjuvant chemoradiotherapy. International Journal of Colorectal Disease. 35(1). 101–107. 22 indexed citations
15.
Wang, Heqing, et al.. (2019). Radiomic features to predict microvascular invasion in hepatocellular carcinoma based on conventional MRI: preliminary findings. Zhonghua fangshexian yixue zazhi. 53(4). 292–298. 1 indexed citations
16.
Yang, Chun, Yin Cao, Guoying Dong, et al.. (2017). Linking Y‐chromosomal short tandem repeat loci to human male impulsive aggression. Brain and Behavior. 7(11). e00855–e00855. 2 indexed citations
17.
Yang, Chun, Heqing Wang, Ruofan Sheng, et al.. (2016). Microvascular invasion in hepatocellular carcinoma: is it predictable with a new, preoperative application of diffusion-weighted imaging?. Clinical Imaging. 41. 101–105. 21 indexed citations
18.
Pan, Linghui, Lin Wang, Ke Yang, et al.. (2015). Systematic Review of Single Large and/or Multinodular Hepatocellular Carcinoma: Surgical Resection Improves Survival. Asian Pacific Journal of Cancer Prevention. 16(13). 5541–5547. 21 indexed citations
19.
Yang, Chun, et al.. (2014). Association between the initiative-aggressive behaviors and the short tandem repeats loci Penta D and Penta E. Chin J Psychiatry. 47(1). 39–43. 1 indexed citations
20.
Yang, Chun, et al.. (2010). Association study between the genetic polymorphism of 15 STR loci and the crime of rape. Zhonghua xingwei yixue yu naokexue zazhi. 19(5). 421–424. 2 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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