Yilei Mao

11.2k total citations · 1 hit paper
210 papers, 4.4k citations indexed

About

Yilei Mao is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Yilei Mao has authored 210 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Surgery, 71 papers in Oncology and 64 papers in Hepatology. Recurrent topics in Yilei Mao's work include Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (39 papers) and Liver Disease Diagnosis and Treatment (28 papers). Yilei Mao is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (39 papers) and Liver Disease Diagnosis and Treatment (28 papers). Yilei Mao collaborates with scholars based in China, United States and Sweden. Yilei Mao's co-authors include Huayu Yang, Xinting Sang, Haitao Zhao, Shouxian Zhong, Shunda Du, Lejia Sun, Xin Lu, Gang Xu, J. Michael Millis and Hongbing Zhang and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yilei Mao

203 papers receiving 4.3k citations

Hit Papers

Randomized controlled trial for time-restricted eating in... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yilei Mao China 36 1.2k 1.1k 989 937 838 210 4.4k
Hongcui Cao China 38 493 0.4× 1.6k 1.4× 1.1k 1.1× 1.1k 1.2× 1.2k 1.4× 220 5.6k
Kwon‐Ha Yoon South Korea 33 631 0.5× 1.2k 1.0× 716 0.7× 345 0.4× 652 0.8× 162 4.0k
TP Ng Hong Kong 44 777 0.6× 1.6k 1.4× 1.2k 1.2× 787 0.8× 679 0.8× 150 4.9k
N. Joseph Espat United States 38 1.6k 1.3× 635 0.6× 1.2k 1.3× 404 0.4× 432 0.5× 131 4.5k
Qiang Xia China 44 769 0.6× 3.5k 3.0× 1.1k 1.1× 1.1k 1.2× 1.1k 1.3× 264 6.4k
Nariyoshi Shinomiya Japan 38 887 0.7× 2.0k 1.7× 718 0.7× 372 0.4× 424 0.5× 194 5.0k
Akira Terano Japan 37 667 0.5× 1.2k 1.0× 2.1k 2.1× 818 0.9× 933 1.1× 221 5.3k
Maurizio Muraca Italy 39 403 0.3× 2.8k 2.5× 1.1k 1.1× 563 0.6× 599 0.7× 159 5.3k

Countries citing papers authored by Yilei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yilei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilei Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yilei Mao. A scholar is included among the top collaborators of Yilei Mao 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 Yilei Mao. Yilei Mao 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.
Sun, Minghao, et al.. (2025). Unveiling the intratumor microbiome in liver cancer: Current insights and prospective applications. Clinical and Molecular Hepatology. 31(3). 685–705. 3 indexed citations
2.
Yang, Huiyu, Jiangang Zhang, Yiran Li, et al.. (2025). Multiscale Organization of Neural Networks in a 3D Bioprinted Matrix. Advanced Science. 12(30). e04455–e04455.
3.
Sun, Hang, Yan Wang, Minghao Sun, et al.. (2024). Developing Patient-Derived 3D-Bioprinting models of pancreatic cancer. Journal of Advanced Research. 74. 165–174. 5 indexed citations
4.
Sun, Hang, Haotian Chen, Yilei Mao, et al.. (2024). Composite bioink incorporating cell-laden liver decellularized extracellular matrix for bioprinting of scaffolds for bone tissue engineering. Biomaterials Advances. 165. 214017–214017. 6 indexed citations
5.
Zhang, Jiangang, Yiran Li, Huiyu Yang, et al.. (2024). Multicellular 3D bioprinted human gallbladder carcinoma for in vitro mimicry of tumor microenvironment and intratumoral heterogeneity. Biofabrication. 16(4). 45028–45028. 3 indexed citations
6.
Sun, Lejia, et al.. (2023). 3D bioprinted liver tissue and disease models: Current advances and future perspectives. Biomaterials Advances. 152. 213499–213499. 24 indexed citations
8.
Ding, Peiwen, Xueshuai Wan, Gang Xu, et al.. (2023). Application and Progress of Cultured Models of Gallbladder Carcinoma. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 5 indexed citations
9.
Xu, Haifeng, et al.. (2023). Intermittent fasting and immunomodulatory effects: A systematic review. Frontiers in Nutrition. 10. 1048230–1048230. 13 indexed citations
10.
Jin, Bao, Haifeng Xu, Xin Lü, et al.. (2023). Immune checkpoint inhibitor‐related molecular markers predict prognosis in extrahepatic cholangiocarcinoma. Cancer Medicine. 12(20). 20470–20481. 2 indexed citations
11.
Wang, Yanan, et al.. (2022). Characterization of immune features and immunotherapy response in subtypes of hepatocellular carcinoma based on mitophagy. Frontiers in Immunology. 13. 966167–966167. 5 indexed citations
12.
Lin, Jianzhen, Xinxin Peng, Junyu Long, et al.. (2021). Genomic characterization of co-existing neoplasia and carcinoma lesions reveals distinct evolutionary paths of gallbladder cancer. Nature Communications. 12(1). 4753–4753. 22 indexed citations
13.
Jin, Bao, Yue Shi, Haifeng Xu, et al.. (2020). <p>Prognostic Nomogram That Predicts Overall Survival of Patients with Distal Cholangiocarcinoma After Pancreatoduodenectomy</p>. Cancer Management and Research. Volume 12. 10303–10310. 6 indexed citations
14.
Jin, Bao, Yue Shi, Haifeng Xu, et al.. (2020). <p>Preoperative Bilirubin-Adjusted Carbohydrate Antigen 19-9 as a Prognostic Factor for Extrahepatic Cholangiocarcinoma Patients at a Single Center</p>. Cancer Management and Research. Volume 12. 411–417. 2 indexed citations
15.
Zheng, Yongchang, Fucun Xie, Kai Kang, et al.. (2019). Hepatobiliary case report and literature review of hepatic reactive lymphoid hyperplasia with positive anti-smooth muscle antibody and anti-nuclear antibody tests. Translational Cancer Research. 8(3). 1001–1005. 1 indexed citations
16.
Hu, Dandan, Yilei Mao, Gang Xu, et al.. (2018). Gut flora shift caused by time-restricted feeding might protect the host from metabolic syndrome, inflammatory bowel disease and colorectal cancer. Translational Cancer Research. 7(5). 1282–1289. 5 indexed citations
17.
Mao, Yixin, Huayu Yang, Lejia Sun, Yilei Mao, & Xianju Qin. (2018). Upregulated GP73 expression and downregulated NLRP3 expression in liver cancer tissues correlate with patient’s survival. Translational Cancer Research. 7(2). 441–449. 1 indexed citations
18.
Yang, Huayu, Ziyi Yang, Xinting Sang, et al.. (2018). Diagnosis and treatment of primary hepatic lymphoma. Translational Cancer Research. 7(3). 720–728. 1 indexed citations
19.
Xu, Yiyao, Huayu Yang, Yilei Mao, et al.. (2016). Application of associating liver partition and portal vein ligation for staged hepatectomy(ALPPS) in cirrhotic patients with hepatocellular carcinoma. Zhonghua putong waike zazhi. 31(7). 534–537. 1 indexed citations
20.
Yao, Rui, et al.. (2016). Three-dimensional printing: review of application in medicine and hepatic surgery. Cancer Biology and Medicine. 13(4). 443–443. 44 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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