Yi‐Peng Fu

1.1k total citations
32 papers, 816 citations indexed

About

Yi‐Peng Fu is a scholar working on Oncology, Cancer Research and Hepatology. According to data from OpenAlex, Yi‐Peng Fu has authored 32 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 14 papers in Cancer Research and 12 papers in Hepatology. Recurrent topics in Yi‐Peng Fu's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Cancer, Lipids, and Metabolism (8 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Yi‐Peng Fu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Cancer, Lipids, and Metabolism (8 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Yi‐Peng Fu collaborates with scholars based in China, Ethiopia and South Sudan. Yi‐Peng Fu's co-authors include Yong Yi, Jian Zhou, Shuang–Jian Qiu, Jia Fan, Xiaochun Ni, Jinlong Huang, Wei Gan, Chuyu Jing, Xiaoyan Cai and Jiaxing Wang and has published in prestigious journals such as Oncogene, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Yi‐Peng Fu

31 papers receiving 810 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yi‐Peng Fu 389 259 205 180 177 32 816
Dan‐Yun Ruan 407 1.0× 285 1.1× 286 1.4× 117 0.7× 143 0.8× 50 935
Qi‐Man Sun 298 0.8× 397 1.5× 470 2.3× 202 1.1× 151 0.9× 37 1.0k
Zhixiang Jian 335 0.9× 180 0.7× 206 1.0× 231 1.3× 211 1.2× 38 781
Jing‐Yun Wen 255 0.7× 199 0.8× 172 0.8× 67 0.4× 81 0.5× 36 594
Anna Kan 275 0.7× 244 0.9× 331 1.6× 157 0.9× 173 1.0× 38 927
Annika Ålgars 393 1.0× 111 0.4× 147 0.7× 122 0.7× 161 0.9× 34 657
Mitsuo Nagao 435 1.1× 192 0.7× 255 1.2× 426 2.4× 137 0.8× 23 965
Weiding Wu 248 0.6× 226 0.9× 345 1.7× 196 1.1× 135 0.8× 37 670
Antonella Licchetta 490 1.3× 197 0.8× 211 1.0× 92 0.5× 131 0.7× 22 830
Manik Amin 358 0.9× 70 0.3× 130 0.6× 162 0.9× 103 0.6× 53 596

Countries citing papers authored by Yi‐Peng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Peng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Peng Fu. 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 Yi‐Peng Fu. The network helps show where Yi‐Peng Fu may publish in the future.

Co-authorship network of co-authors of Yi‐Peng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Peng Fu. A scholar is included among the top collaborators of Yi‐Peng Fu 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 Yi‐Peng Fu. Yi‐Peng Fu 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.
Xu, Fan, et al.. (2023). Identification and validation of ferroptosis-related genes in lipopolysaccharide-induced acute lung injury. Cellular Signalling. 108. 110698–110698. 13 indexed citations
2.
Fu, Yi‐Peng, et al.. (2022). A tumor microenvironment-related risk model for predicting the prognosis and tumor immunity of breast cancer patients. Frontiers in Immunology. 13. 927565–927565. 4 indexed citations
4.
Jing, Chuyu, Yi‐Peng Fu, Cheng Zhou, et al.. (2021). Hepatic stellate cells promote intrahepatic cholangiocarcinoma progression via NR4A2/osteopontin/Wnt signaling axis. Oncogene. 40(16). 2910–2922. 17 indexed citations
5.
Fu, Yi‐Peng, Meng Zhang, Chong Lu, et al.. (2020). An Innovative Immune Score‐Based Prognostic Nomogram for Patients with Cervical Cancer. BioMed Research International. 2020(1). 8882576–8882576. 3 indexed citations
6.
Bai, Fang, Peng Zhang, Yi‐Peng Fu, et al.. (2020). Targeting ANXA1 abrogates Treg-mediated immune suppression in triple-negative breast cancer. Journal for ImmunoTherapy of Cancer. 8(1). e000169–e000169. 82 indexed citations
7.
Huang, Jinlong, Yi‐Peng Fu, Wei Gan, et al.. (2020). Hepatic stellate cells promote the progression of hepatocellular carcinoma through microRNA-1246-RORα-Wnt/β-Catenin axis. Cancer Letters. 476. 140–151. 53 indexed citations
8.
Ni, Xiaochun, Yong Yi, Yi‐Peng Fu, et al.. (2020). <p>Role of Lipids and Apolipoproteins in Predicting the Prognosis of Hepatocellular Carcinoma After Resection</p>. OncoTargets and Therapy. Volume 13. 12867–12880. 14 indexed citations
9.
Ni, Xiaochun, Jie Xu, Yong Yi, et al.. (2019). Inflammation–nutrition score predicts prognosis of patients with resectable hepatocellular carcinoma. International Journal of Clinical Oncology. 24(7). 825–835. 7 indexed citations
10.
Jing, Chuyu, Yi‐Peng Fu, Yong Yi, et al.. (2019). HHLA2 in intrahepatic cholangiocarcinoma: an immune checkpoint with prognostic significance and wider expression compared with PD-L1. Journal for ImmunoTherapy of Cancer. 7(1). 77–77. 91 indexed citations
11.
Gan, Wei, Meixia Zhang, Jiaxing Wang, et al.. (2018). Prognostic impact of lactic dehydrogenase to albumin ratio in hepatocellular carcinoma patients with Child&ndash;Pugh I who underwent curative resection: a prognostic nomogram study. Cancer Management and Research. Volume 10. 5383–5394. 20 indexed citations
12.
Jing, Chuyu, Yi‐Peng Fu, Su-Su Zheng, et al.. (2017). Prognostic nomogram for patients with hepatocellular carcinoma underwent adjuvant transarterial chemoembolization following curative resection. Medicine. 96(11). e6140–e6140. 6 indexed citations
13.
15.
Fu, Yi‐Peng, Yong Yi, Xiaoyan Cai, et al.. (2016). Overexpression of interleukin-35 associates with hepatocellular carcinoma aggressiveness and recurrence after curative resection. British Journal of Cancer. 114(7). 767–776. 63 indexed citations
16.
Fu, Yi‐Peng, Xiaochun Ni, Yong Yi, et al.. (2016). A Novel and Validated Inflammation-Based Score (IBS) Predicts Survival in Patients With Hepatocellular Carcinoma Following Curative Surgical Resection. Medicine. 95(7). e2784–e2784. 32 indexed citations
18.
Cai, Xiaoyan, Xiaochun Ni, Yong Yi, et al.. (2016). Overexpression of CD39 in hepatocellular carcinoma is an independent indicator of poor outcome after radical resection. Medicine. 95(40). e4989–e4989. 59 indexed citations
19.
Ni, Xiaochun, Yi‐Peng Fu, Hong-Wei He, et al.. (2015). Serum Amyloid A is a Novel Prognostic Biomarker in Hepatocellular Carcinoma. Asian Pacific Journal of Cancer Prevention. 15(24). 10713–10718. 18 indexed citations
20.
Ni, Xiaochun, Yong Yi, Yi‐Peng Fu, et al.. (2015). Prognostic Value of the Modified Glasgow Prognostic Score in Patients Undergoing Radical Surgery for Hepatocellular Carcinoma. Medicine. 94(36). e1486–e1486. 49 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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