Kefei Yuan

4.3k total citations · 2 hit papers
78 papers, 2.9k citations indexed

About

Kefei Yuan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kefei Yuan has authored 78 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 23 papers in Cancer Research and 21 papers in Oncology. Recurrent topics in Kefei Yuan's work include Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers), Cancer-related molecular mechanisms research (10 papers) and RNA modifications and cancer (10 papers). Kefei Yuan is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers), Cancer-related molecular mechanisms research (10 papers) and RNA modifications and cancer (10 papers). Kefei Yuan collaborates with scholars based in China, United States and Australia. Kefei Yuan's co-authors include Yong Zeng, Lin Xu, Mingheng Liao, Canhua Huang, Jiwei Huang, Tian Lan, Kunlin Xie, Hong Wu, Min Wu and Xi Chen and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Kefei Yuan

72 papers receiving 2.9k citations

Hit Papers

KIAA1429 contributes to liver cancer progression through ... 2019 2026 2021 2023 2019 2025 100 200 300
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.

  1. KIAA1429 contributes to liver cancer progression through N6-methyladenosine-dependent post-transcriptional modification of GATA3
    2019 349 citations Lin Xu, Xiaokai Yan et al. Molecular Cancer profile →
  2. Molecular mechanisms in liver repair and regeneration: from physiology to therapeutics
    2025 20 citations Xiao Ma, Tengda Huang et al. Signal Transduction and Targeted Therapy profile →

Peers

Kefei Yuan
Matthias S. Matter Switzerland
Wei Yu China
Elisabetta Rossi Italy
Masaki Murata Japan
Chao Ni China
Yan Zhou United States
Hua Huang China
Qinglei Gao China
Chi‐Long Chen Taiwan
Anmei Deng China
Matthias S. Matter Switzerland
Kefei Yuan
Citations per year, relative to Kefei Yuan Kefei Yuan (= 1×) peers Matthias S. Matter

Countries citing papers authored by Kefei Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Kefei Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefei Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Kefei Yuan. A scholar is included among the top collaborators of Kefei Yuan 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 Kefei Yuan. Kefei Yuan 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.
Zhou, Xinyi, Zhen Wang, Li Fu, et al.. (2025). Dietary sugar intervention: A promising approach for cancer therapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1880(5). 189402–189402.
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Zhou, Lingyan, et al.. (2025). A Soluble Triantennary N-Acetylgalactosamine Camptothecin Prodrug for Hepatocellular Carcinoma-Targeted Therapy. Journal of Medicinal Chemistry. 68(15). 15563–15578.
4.
Ma, Xiao, Tengda Huang, Xi Chen, et al.. (2025). Molecular mechanisms in liver repair and regeneration: from physiology to therapeutics. Signal Transduction and Targeted Therapy. 10(1). 63–63. 20 indexed citations breakdown →
5.
Ren, Shiqi, Xinyi Zhou, Zhen Wang, & Kefei Yuan. (2025). Amino acids metabolism: a potential target for cancer treatment. Molecular Cancer. 24(1). 307–307.
6.
Ma, Xiao, Tengda Huang, Xiaoquan Li, et al.. (2024). Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology. Frontiers in Medicine. 11. 1428973–1428973.
7.
Huang, Tengda, Hongying Chen, Tian Wu, et al.. (2024). Comprehensive analysis of bioinformatics and system biology reveals the association between Girdin and hepatocellular carcinoma. PLoS ONE. 19(12). e0315534–e0315534. 1 indexed citations
8.
Wang, Zhen, et al.. (2023). Role of Noncoding RNAs in the Tumor Immune Microenvironment of Hepatocellular Carcinoma. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 6 indexed citations
9.
Du, Jinpeng, Haichuan Wang, Xu Lin, et al.. (2023). MDIG-mediated H3K9me3 demethylation upregulates Myc by activating OTX2 and facilitates liver regeneration. Signal Transduction and Targeted Therapy. 8(1). 351–351. 6 indexed citations
10.
Jiang, Hanyu, Yahong Chen, Ting Duan, et al.. (2022). Predicting Genomic Alterations of Phosphatidylinositol-3 Kinase Signaling in Hepatocellular Carcinoma: A Radiogenomics Study Based on Next-Generation Sequencing and Contrast-Enhanced CT. Annals of Surgical Oncology. 29(7). 4552–4564. 10 indexed citations
11.
Chen, Xing, Liangqing Dong, Lu Chen, et al.. (2022). Epigenome-wide development and validation of a prognostic methylation score in intrahepatic cholangiocarcinoma based on machine learning strategies. HepatoBiliary Surgery and Nutrition. 12(4). 478–494. 1 indexed citations
12.
Ding, Guangyu, Jiaqiang Ma, Jing‐Ping Yun, et al.. (2021). Distribution and density of tertiary lymphoid structures predict clinical outcome in intrahepatic cholangiocarcinoma. Journal of Hepatology. 76(3). 608–618. 144 indexed citations
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Tan, Ping, et al.. (2017). Ledipasvir + Sofosbuvir for Liver Transplant Recipients With Recurrent Hepatitis C: A Systematic Review and Meta-analysis. Transplantation Proceedings. 49(8). 1855–1863. 8 indexed citations
16.
Chen, Hai‐Ning, Kefei Yuan, Na Xie, et al.. (2016). PDLIM1 Stabilizes the E-Cadherin/β-Catenin Complex to Prevent Epithelial–Mesenchymal Transition and Metastatic Potential of Colorectal Cancer Cells. Cancer Research. 76(5). 1122–1134. 93 indexed citations
17.
Dou, Qianhui, Hai‐Ning Chen, Kui Wang, et al.. (2016). Ivermectin Induces Cytostatic Autophagy by Blocking the PAK1/Akt Axis in Breast Cancer. Cancer Research. 76(15). 4457–4469. 191 indexed citations
18.
Liu, Rui, Jingyi Li, Tao Zhang, et al.. (2014). Itraconazole suppresses the growth of glioblastoma through induction of autophagy. Autophagy. 10(7). 1241–1255. 151 indexed citations
19.
Li, Guoping, Kefei Yuan, Chunguang Yan, et al.. (2011). 8-Oxoguanine-DNA glycosylase 1 deficiency modifies allergic airway inflammation by regulating STAT6 and IL-4 in cells and in mice. Free Radical Biology and Medicine. 52(2). 392–401. 77 indexed citations
20.
Yuan, Kefei, Canhua Huang, John Fox, et al.. (2011). Elevated Inflammatory Response in Caveolin-1-deficient Mice with Pseudomonas aeruginosa Infection Is Mediated by STAT3 Protein and Nuclear Factor κB (NF-κB). Journal of Biological Chemistry. 286(24). 21814–21825. 80 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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