Feng Shi

1.0k total citations
54 papers, 673 citations indexed

About

Feng Shi is a scholar working on Pulmonary and Respiratory Medicine, Hepatology and Surgery. According to data from OpenAlex, Feng Shi has authored 54 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 22 papers in Hepatology and 14 papers in Surgery. Recurrent topics in Feng Shi's work include Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers) and Cancer Mechanisms and Therapy (7 papers). Feng Shi is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers) and Cancer Mechanisms and Therapy (7 papers). Feng Shi collaborates with scholars based in China, United States and Australia. Feng Shi's co-authors include Peihong Wu, Lijuan Gu, Xiaoxing Xiong, Song Chen, Lujun Shen, Zhiqiang Wu, Liguang Wang, Wenquan Zhuang, Huanwei Chen and Bo Xu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Feng Shi

46 papers receiving 671 citations

Peers

Feng Shi
Feng Shi
Citations per year, relative to Feng Shi Feng Shi (= 1×) peers Panagis M. Lykoudis

Countries citing papers authored by Feng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Feng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Shi. A scholar is included among the top collaborators of Feng Shi 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 Feng Shi. Feng Shi 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
3.
Wang, Zhiyan, et al.. (2025). Skin microbiome and skin aging: emerging strategies for manipulation. Microbiological Research. 300. 128285–128285.
6.
Chen, Zhiyang, Zhenhui Li, Xiaofei Lü, et al.. (2024). AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection. JHEP Reports. 7(2). 101270–101270. 5 indexed citations
7.
Wang, Dawei, Feng Shi, Dingguo Zhang, et al.. (2024). Remnant cholesterol increases the risk of incident kidney stones: a nested case-control study in Chinese adults. Urolithiasis. 52(1). 160–160. 1 indexed citations
9.
Tang, Shuang‐Yan, Feng Shi, Zhiqiang Wu, et al.. (2024). TACE plus lenvatinib and tislelizumab for intermediate-stage hepatocellular carcinoma beyond up-to-11 criteria: a multicenter cohort study. Frontiers in Immunology. 15. 1430571–1430571. 5 indexed citations
11.
An, Chao, Feng Shi, He Ren, et al.. (2023). Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram. European Radiology. 33(12). 9038–9051. 12 indexed citations
12.
Shen, Xiaoyan, Xiaoping Xie, Qi Wu, et al.. (2023). S-adenosylmethionine attenuates angiotensin II-induced aortic dissection formation by inhibiting vascular smooth muscle cell phenotypic switch and autophagy. Biochemical Pharmacology. 219. 115967–115967. 6 indexed citations
13.
Li, Shaohua, Jie Mei, Qiaoxuan Wang, et al.. (2021). Transarterial infusion chemotherapy with FOLFOX for advanced hepatocellular carcinoma: a multi-center propensity score matched analysis of real-world practice. HepatoBiliary Surgery and Nutrition. 10(5). 631–645. 15 indexed citations
14.
Chen, Song, Zhiqiang Wu, Feng Shi, et al.. (2021). Lenvatinib plus TACE with or without pembrolizumab for the treatment of initially unresectable hepatocellular carcinoma harbouring PD-L1 expression: a retrospective study. Journal of Cancer Research and Clinical Oncology. 148(8). 2115–2125. 81 indexed citations
15.
Shi, Feng, Zong-Li Ren, Min Zhang, et al.. (2021). Effect of novel bicaval anastomosis technique for transplantation with and without prior cardiac surgery history. Annals of Translational Medicine. 9(13). 1064–1064. 1 indexed citations
16.
Shi, Feng & Zhiwei Wang. (2019). Acute Aortic Dissection Surgery: Hybrid Debranching Versus Total Arch Replacement. Journal of Cardiothoracic and Vascular Anesthesia. 34(6). 1487–1493. 7 indexed citations
18.
Wen, Shilei, Feng Shi, Jinhang Gao, et al.. (2016). Collapsed Reticular Network and its Possible Mechanism during the Initiation and/or Progression of Hepatic Fibrosis. Scientific Reports. 6(1). 35426–35426. 17 indexed citations
19.
Shi, Feng, et al.. (2015). Prophylactic effect of somatostatin in preventing Post-ERCP pancreatitis: an updated meta-analysis. Saudi Journal of Gastroenterology. 21(6). 372–372. 18 indexed citations
20.
Shi, Feng, Zhicheng Luo, & Da Liu. (2014). Efficacy and safety of odanacatib treatment for patients with osteoporosis: a meta-analysis. Journal of Bone and Mineral Metabolism. 33(4). 448–454. 13 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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