Anfeng Si

1.8k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

Anfeng Si is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Anfeng Si has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 14 papers in Oncology and 14 papers in Hepatology. Recurrent topics in Anfeng Si's work include Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and Viral-associated cancers and disorders (7 papers). Anfeng Si is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and Viral-associated cancers and disorders (7 papers). Anfeng Si collaborates with scholars based in China, Hong Kong and Germany. Anfeng Si's co-authors include Zhengqing Lei, Wan Yee Lau, Kui Wang, Feng Shen, Yong Xia, Xuying Wan, Mengchao Wu, Dong Wu, Qing Wang and Jun Li and has published in prestigious journals such as Scientific Reports, Journal of Hepatology and Gene.

In The Last Decade

Anfeng Si

31 papers receiving 1.2k citations

Hit Papers

Nomogram for Preoperative Estimation of Microvascular Inv... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anfeng Si China 18 602 523 364 329 319 33 1.2k
Zhengqing Lei China 16 631 1.0× 436 0.8× 317 0.9× 287 0.9× 300 0.9× 34 1.2k
Spiros Hiotis United States 20 749 1.2× 815 1.6× 713 2.0× 444 1.3× 285 0.9× 62 1.8k
Chul Seung Kay South Korea 17 416 0.7× 229 0.4× 304 0.8× 291 0.9× 159 0.5× 49 1.0k
Christoph Benckert Germany 24 507 0.8× 728 1.4× 626 1.7× 457 1.4× 211 0.7× 45 1.4k
Satoshi Katagiri Japan 17 712 1.2× 590 1.1× 308 0.8× 266 0.8× 157 0.5× 67 1.1k
Keun Soo Ahn South Korea 20 499 0.8× 660 1.3× 481 1.3× 326 1.0× 181 0.6× 66 1.2k
Chung‐Mau Lo Hong Kong 16 932 1.5× 565 1.1× 310 0.9× 341 1.0× 295 0.9× 25 1.5k
Takafumi Kumamoto Japan 17 473 0.8× 553 1.1× 600 1.6× 297 0.9× 143 0.4× 78 1.1k
Yoshihito Kotera Japan 15 441 0.7× 554 1.1× 375 1.0× 211 0.6× 103 0.3× 51 921
Tommaso Campagnaro Italy 19 383 0.6× 972 1.9× 793 2.2× 674 2.0× 168 0.5× 66 1.6k

Countries citing papers authored by Anfeng Si

Since Specialization
Citations

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

Fields of papers citing papers by Anfeng Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anfeng Si

This figure shows the co-authorship network connecting the top 25 collaborators of Anfeng Si. A scholar is included among the top collaborators of Anfeng Si 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 Anfeng Si. Anfeng Si 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.
He, Yigang, Anfeng Si, Shan Gao, et al.. (2025). BRIX1 activated by mTORC1-SP1 signaling regulates ribosome biogenesis and alternative splicing to promote hepatocellular carcinoma progression. Hepatology International. 20(1). 135–148.
4.
Liu, Xiaoyu, Xufei Wang, Gang Yang, et al.. (2023). Improving the cytotoxicity of immunotoxins by reducing the affinity of the antibody in acidic pH. Journal of Translational Medicine. 21(1). 572–572. 3 indexed citations
5.
Fu, Yi, Anfeng Si, Yujie Ma, et al.. (2023). Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma. BMC Genomics. 24(1). 89–89. 12 indexed citations
6.
Lei, Zhengqing, Nuo Cheng, Anfeng Si, et al.. (2022). A Novel Nomogram for Predicting Postoperative Liver Failure After Major Hepatectomy for Hepatocellular Carcinoma. Frontiers in Oncology. 12. 817895–817895. 10 indexed citations
7.
Lei, Zhengqing, Anfeng Si, Pinghua Yang, et al.. (2021). External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma. Journal of Cancer. 12(17). 5260–5267. 7 indexed citations
8.
Lei, Zhengqing, Anfeng Si, Pinghua Yang, et al.. (2020). microRNA-454 promotes liver tumor-initiating cell expansion by regulating SOCS6. Experimental Cell Research. 390(1). 111955–111955. 9 indexed citations
9.
Li, Jun, Yefa Yang, Jingfeng Liu, et al.. (2020). Adjuvant 131I-metuximab for hepatocellular carcinoma after liver resection: a randomised, controlled, multicentre, open-label, phase 2 trial. ˜The œLancet. Gastroenterology & hepatology. 5(6). 548–560. 51 indexed citations
10.
Si, Anfeng, Jun Li, Zhishi Yang, et al.. (2019). Impact of Anatomical Versus Non-anatomical Liver Resection on Short- and Long-Term Outcomes for Patients with Intrahepatic Cholangiocarcinoma. Annals of Surgical Oncology. 26(6). 1841–1850. 61 indexed citations
11.
Yang, Pinghua, Tao Han, Ruoyu Wang, et al.. (2019). Long non-coding RNA DILC promotes the progression of gallbladder carcinoma. Gene. 694. 102–110. 19 indexed citations
12.
13.
Cheng, Zhangjun, Zhengqing Lei, Pinghua Yang, et al.. (2018). Long non-coding RNA THOR promotes liver cancer stem cells expansion via β-catenin pathway. Gene. 684. 95–103. 37 indexed citations
14.
Cai, Hui, et al.. (2018). Long non-coding RNA DILC suppresses cell proliferation and metastasis in colorectal cancer. Gene. 666. 18–26. 27 indexed citations
15.
Yang, Pinghua, Anfeng Si, Jue Yang, et al.. (2018). A wide-margin liver resection improves long-term outcomes for patients with HBV-related hepatocellular carcinoma with microvascular invasion. Surgery. 165(4). 721–730. 71 indexed citations
16.
Cheng, Zhangjun, Zhengqing Lei, Pinghua Yang, et al.. (2018). Long non-coding RNA THOR promotes cell proliferation and metastasis in hepatocellular carcinoma. Gene. 678. 129–136. 16 indexed citations
17.
Lei, Zhengqing, Yong Xia, Anfeng Si, et al.. (2017). Antiviral therapy improves survival in patients with HBV infection and intrahepatic cholangiocarcinoma undergoing liver resection. Journal of Hepatology. 68(4). 655–662. 30 indexed citations
18.
Wang, Qing, Jun Li, Zhengqing Lei, et al.. (2017). Prognosis of Intrahepatic Cholangiocarcinomas with HBV Infection is Better than Those with Hepatolithiasis After R0 Liver Resection: A Propensity Score Matching Analysis. Annals of Surgical Oncology. 24(6). 1579–1587. 31 indexed citations
19.
Si, Anfeng, Jue Yang, Pinghua Yang, et al.. (2017). Elevation of CA19-9 and CEA is associated with a poor prognosis in patients with resectable gallbladder carcinoma. HPB. 19(11). 951–956. 38 indexed citations
20.
Si, Anfeng, Jun Li, Zhengqing Lei, et al.. (2016). Effectiveness of repeat hepatic resection for patients with recurrent intrahepatic cholangiocarcinoma: Factors associated with long-term outcomes. Surgery. 161(4). 897–908. 37 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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