Ruofan Sheng

1.0k total citations · 1 hit paper
61 papers, 744 citations indexed

About

Ruofan Sheng is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ruofan Sheng has authored 61 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hepatology, 36 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Surgery. Recurrent topics in Ruofan Sheng's work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), MRI in cancer diagnosis (28 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Ruofan Sheng is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (32 papers), MRI in cancer diagnosis (28 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Ruofan Sheng collaborates with scholars based in China, Germany and Taiwan. Ruofan Sheng's co-authors include Shengxiang Rao, Chun Yang, Mengsu Zeng, Li Yang, Mengsu Zeng, Huanhuan Chong, Yuan Ji, Yongming Dai, R L Baron and Blake C. Jones and has published in prestigious journals such as Radiology, Oncotarget and Journal of Magnetic Resonance Imaging.

In The Last Decade

Ruofan Sheng

52 papers receiving 738 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm

2021 152 citations Ruofan Sheng, Shengxiang Rao et al. European Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruofan Sheng China	15	446	434	184	172	168	61	744
Zhenpeng Peng China	15	299 0.7×	393 0.9×	149 0.8×	162 0.9×	166 1.0×	48	689
Tatsuaki Tsukamoto Japan	7	268 0.6×	494 1.1×	216 1.2×	162 0.9×	67 0.4×	9	727
Iris Blume Switzerland	8	439 1.0×	187 0.4×	229 1.2×	247 1.4×	109 0.6×	9	723
Waleed Shady United States	10	674 1.5×	259 0.6×	81 0.4×	243 1.4×	273 1.6×	12	846
Beau Toskich United States	15	384 0.9×	106 0.2×	142 0.8×	168 1.0×	163 1.0×	52	528
Jacopo Lera Italy	3	569 1.3×	74 0.2×	359 2.0×	144 0.8×	110 0.7×	4	684
Xiaodong Zhou China	13	198 0.4×	127 0.3×	144 0.8×	158 0.9×	54 0.3×	31	498
M. Rago Italy	3	337 0.8×	85 0.2×	177 1.0×	91 0.5×	134 0.8×	6	484
Tanguy Rohou France	9	234 0.5×	231 0.5×	68 0.4×	147 0.9×	222 1.3×	14	498
Gregor Laimer Austria	15	384 0.9×	135 0.3×	76 0.4×	142 0.8×	139 0.8×	36	504

Countries citing papers authored by Ruofan Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Ruofan Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruofan Sheng

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

Sheng, Ruofan, et al.. (2024). A preliminary study of developing an MRI-based model for postoperative recurrence prediction and treatment direction of intrahepatic cholangiocarcinoma. La radiologia medica. 129(12). 1766–1777.

Sheng, Ruofan, Yunfei Zhang, Wei‐Zen Sun, et al.. (2024). MRI-based microvascular invasion prediction in mass-forming intrahepatic cholangiocarcinoma: survival and therapeutic benefit. European Radiology. 35(7). 4068–4079. 1 indexed citations

Gao, Shanshan, Wei‐Zen Sun, Jing Han, et al.. (2024). A preoperative nomogram with MR elastography in identifying cytokeratin 19 status of hepatocellular carcinoma. British Journal of Radiology. 98(1166). 210–219. 1 indexed citations

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

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

Sheng, Ruofan, Yunfei Zhang, Heqing Wang, et al.. (2023). A multi-center diagnostic system for intrahepatic mass-forming cholangiocarcinoma based on preoperative MRI and clinical features. European Radiology. 34(1). 548–559. 7 indexed citations

Zhang, Yunfei, Ruofan Sheng, Chun Yang, Yongming Dai, & Mengsu Zeng. (2023). The Feasibility of Using Tri-Exponential Intra-Voxel Incoherent Motion DWI for Identifying the Microvascular Invasion in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 10. 1659–1671. 3 indexed citations

Zhang, Yunfei, et al.. (2023). Higher field reduced FOV diffusion-weighted imaging for abdominal imaging at 5.0 Tesla: image quality evaluation compared with 3.0 Tesla. Insights into Imaging. 14(1). 171–171. 7 indexed citations

Tan, Cher Heng, Ke Ma, Ruofan Sheng, et al.. (2022). Gadoxetate-Enhanced MRI as a Diagnostic Tool in the Management of Hepatocellular Carcinoma: Report from a 2020 Asia-Pacific Multidisciplinary Expert Meeting. Korean Journal of Radiology. 23(7). 697–697. 6 indexed citations

10.

Yang, Chun, et al.. (2022). Renal imaging at 5 T versus 3 T: a comparison study. Insights into Imaging. 13(1). 155–155. 6 indexed citations

11.

Sheng, Ruofan, et al.. (2021). Staging Chronic Hepatitis B Related Liver Fibrosis with a Fractional Order Calculus Diffusion Model. Academic Radiology. 29(7). 951–963. 11 indexed citations

12.

Zhao, Jiangtao, Shanshan Gao, Wei‐Zen Sun, et al.. (2021). Magnetic resonance imaging and diffusion-weighted imaging-based histogram analyses in predicting glypican 3-positive hepatocellular carcinoma. European Journal of Radiology. 139. 109732–109732. 17 indexed citations

13.

Sheng, Ruofan, Liyun Zheng, Wei‐Zen Sun, et al.. (2021). Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI. Magnetic Resonance Imaging. 81. 75–81. 40 indexed citations

14.

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

15.

Yang, Chun, Heqing Wang, Yibo Tang, et al.. (2018). ADC similarity predicts microvascular invasion of bifocal hepatocellular carcinoma. Abdominal Radiology. 43(9). 2295–2302. 11 indexed citations

16.

Wang, Heqing, Chun Yang, Shengxiang Rao, et al.. (2018). MR imaging of hepatocellular adenomas on genotype-phenotype classification: A report from China. European Journal of Radiology. 100. 135–141. 11 indexed citations

17.

Wang, Heqing, Mengsu Zeng, Shengxiang Rao, et al.. (2018). A comparative study of MR extracellular volume fraction measurement and two-dimensional shear-wave elastography in assessment of liver fibrosis with chronic hepatitis B. Abdominal Radiology. 44(4). 1407–1414. 14 indexed citations

18.

Sheng, Ruofan, et al.. (2017). Value of MRI in assessing the invasiveness of intraductal papillary neoplasms of the bile duct. Zhonghua fangshexian yixue zazhi. 51(8). 592–596. 1 indexed citations

19.

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

20.

Sheng, Ruofan, Mengsu Zeng, Shengxiang Rao, Yuan Ji, & Lingli Chen. (2014). MRI of small intrahepatic mass-forming cholangiocarcinoma and atypical small hepatocellular carcinoma (≤3 cm) with cirrhosis and chronic viral hepatitis: a comparative study. Clinical Imaging. 38(3). 265–272. 33 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.

Explore authors with similar magnitude of impact