Ruokun Li

623 total citations
36 papers, 438 citations indexed

About

Ruokun Li is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Ruokun Li has authored 36 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hepatology, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Epidemiology. Recurrent topics in Ruokun Li's work include Liver Disease Diagnosis and Treatment (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and Liver Disease and Transplantation (7 papers). Ruokun Li is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and Liver Disease and Transplantation (7 papers). Ruokun Li collaborates with scholars based in China, Germany and United States. Ruokun Li's co-authors include Fuhua Yan, Fuhua Yan, Mengsu Zeng, Hongmei Yan, Xin Gao, Xiaoming Li, Wanyuan He, Chaolun Li, Xiuzhong Yao and Mingfeng Xia and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Journal of Biomechanics.

In The Last Decade

Ruokun Li

34 papers receiving 435 citations

Peers

Ruokun Li

EPIDE

HEPAT

RNMI

SURGE

Yongping Lu China

Michael W. Freckleton United States

Manil Chouhan United Kingdom

Theodore T. Pierce United States

Łukasz Michałowski Poland

Liping Yin China

Shuangshuang Xie China

Yasunori Kawaguchi Japan

Rongqin Zheng China

HeiShun Yu United States

Yongping Lu China

Ruokun Li

143 ×0.7

EPIDE

143 ×0.8

HEPAT

254 ×1.5

RNMI

79 ×1.2

49 ×0.9

SURGE

Citations per year, relative to Ruokun Li Ruokun Li (= 1×) peers Yongping Lu

Countries citing papers authored by Ruokun Li

Since Specialization

Citations

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

Fields of papers citing papers by Ruokun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruokun Li

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

All Works

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20 of 20 papers shown

Cao, Zhujun, Yuhan Liu, Haiguang Xin, et al.. (2024). Blood markers for type-1, -2, and -3 inflammation are associated with severity of acutely decompensated cirrhosis. Journal of Hepatology. 82(5). 836–850. 3 indexed citations

Wang, Shuo, Yan Li, Xinyu Zhang, et al.. (2024). Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine. Information Fusion. 115. 102738–102738. 4 indexed citations

Ma, Zhiyao, et al.. (2023). Absolute testing of two flats based on even and odd functions without testing refractive index uniformity. Optics and Lasers in Engineering. 170. 107802–107802. 1 indexed citations

Ma, Zhiyao, et al.. (2023). Separate the primary aberration for the deformation error of optical flat in 300-mm-aperture vertical Fizeau interferometer. Optics and Lasers in Engineering. 163. 107456–107456. 3 indexed citations

Lai, Rongtao, Yan Huang, Ruidong Mo, et al.. (2023). Clinic-radiomics model using liver magnetic resonance imaging helps predict chronicity of drug-induced liver injury. Hepatology International. 17(6). 1626–1636. 3 indexed citations

Chen, Yu, Ruokun Li, Di Ma, et al.. (2022). Correlation analysis of structural and biomechanical properties of hepatocellular carcinoma tissue. Journal of Biomechanics. 141. 111227–111227. 4 indexed citations

Cao, Zhujun, Zi-Ke Sheng, Xiaogang Xiang, et al.. (2022). COVID-19 vaccines in patients with decompensated cirrhosis: a retrospective cohort on safety data and risk factors associated with unvaccinated status. Infectious Diseases of Poverty. 11(1). 56–56. 12 indexed citations

Ren, Xinping, Junqing Wang, Shujun Xia, et al.. (2022). A new visual quantitative assessment of ultrasound attenuation parameters for the mild liver steatosis. Annals of Translational Medicine. 10(6). 343–343. 2 indexed citations

Wang, Yihuan, Jing Guo, Di Ma, et al.. (2022). Reduced tumor stiffness quantified by tomoelastography as a predicative marker for glypican-3-positive hepatocellular carcinoma. Frontiers in Oncology. 12. 962272–962272. 4 indexed citations

10.

Lin, Huimin, Yihuan Wang, Xinxin Xu, et al.. (2022). Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with hepatocellular carcinoma: a prospective study. Insights into Imaging. 13(1). 95–95. 7 indexed citations

11.

Zheng, Rencheng, Chengyan Wang, Weibo Chen, et al.. (2021). Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learning. Physics in Medicine and Biology. 66(8). 85014–85014. 17 indexed citations

12.

Liu, Qiaoyu, Rencheng Zheng, Jinwei Qiang, et al.. (2021). Assessment of Vascular Network Connectivity of Hepatocellular Carcinoma Using Graph-Based Approach. Frontiers in Oncology. 11. 668874–668874. 2 indexed citations

13.

Xu, Xinxin, Hong Zhu, Ruokun Li, et al.. (2020). Whole-liver histogram and texture analysis on T1 maps improves the risk stratification of advanced fibrosis in NAFLD. European Radiology. 31(3). 1748–1759. 12 indexed citations

14.

Yan, Fuhua, et al.. (2018). Iron deposition quantification: Applications in the brain and liver. Journal of Magnetic Resonance Imaging. 48(2). 301–317. 36 indexed citations

15.

Li, Ruokun. (2018). Interpretation of key points in clinical practice guidelines for imaging diagnosis of hepatocellular carcinoma. Zhonghua fangshexian yixue zazhi. 52(9). 725–728. 1 indexed citations

16.

Li, Ruokun, Fuhua Yan, Jinwei Qiang, et al.. (2017). Liver fibrosis detection and staging: a comparative study of T1ρ MR imaging and 2D real-time shear-wave elastography. Abdominal Radiology. 43(7). 1713–1722. 20 indexed citations

17.

Li, Ruokun, et al.. (2016). Computed Tomography Perfusion Imaging Detection of Microcirculatory Dysfunction in Small Intestinal Ischemia-Reperfusion Injury in a Porcine Model. PLoS ONE. 11(7). e0160102–e0160102. 10 indexed citations

18.

Li, Ruokun, Mengsu Zeng, Jinwei Qiang, et al.. (2015). Value of MR susceptibility weighted imaging for characterization of small hepatocellular carcinoma in cirrhotic livers. Zhonghua fangshexian yixue zazhi. 49(7). 520–524. 1 indexed citations

19.

Li, Ruokun, et al.. (2013). Susceptibility weighted imaging of multistep hepatocarcinogenesis in cirrhotic livers: correlation with pathology. Zhonghua fangshexian yixue zazhi. 47(11). 1014–1018.

20.

Dai, Yongming, Mengsu Zeng, Ruokun Li, et al.. (2011). Improving detection of siderotic nodules in cirrhotic liver with a multi‐breath‐hold susceptibility‐weighted imaging technique. Journal of Magnetic Resonance Imaging. 34(2). 318–325. 39 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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