Xianhai Mao

1.0k total citations
28 papers, 300 citations indexed

About

Xianhai Mao is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xianhai Mao has authored 28 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 16 papers in Pulmonary and Respiratory Medicine and 10 papers in Cancer Research. Recurrent topics in Xianhai Mao's work include Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Gallbladder and Bile Duct Disorders (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Xianhai Mao is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Gallbladder and Bile Duct Disorders (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Xianhai Mao collaborates with scholars based in China, Hong Kong and Japan. Xianhai Mao's co-authors include Xiaohui Duan, Bo Jiang, Chen Chen, Jianhui Yang, J. Wang, Keishiro Shimura, Wenlong Zhai, Zhangjun Cheng, Tianqiang Song and Weijia Sun and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Annals of Surgical Oncology.

In The Last Decade

Xianhai Mao

27 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianhai Mao China 13 109 106 93 81 71 28 300
Huawen Shi China 6 133 1.2× 78 0.7× 128 1.4× 66 0.8× 61 0.9× 8 356
Kaibo Guo China 13 141 1.3× 91 0.9× 175 1.9× 82 1.0× 121 1.7× 44 431
Minhao Peng China 11 98 0.9× 77 0.7× 91 1.0× 72 0.9× 65 0.9× 25 295
Yue Shao China 12 145 1.3× 70 0.7× 104 1.1× 90 1.1× 65 0.9× 26 373
Jianzhuang Ren China 12 180 1.7× 47 0.4× 82 0.9× 102 1.3× 88 1.2× 26 401
Tuo Deng China 12 229 2.1× 111 1.0× 105 1.1× 75 0.9× 103 1.5× 20 416
Nanzheng Chen China 13 191 1.8× 202 1.9× 139 1.5× 99 1.2× 139 2.0× 29 495

Countries citing papers authored by Xianhai Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xianhai Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianhai Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xianhai Mao. A scholar is included among the top collaborators of Xianhai 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 Xianhai Mao. Xianhai 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.
2.
Zhang, Jingwei, Zhiqiang Cai, Chen Chen, et al.. (2023). A Bayesian Network Prediction Model for Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma: A Multi‐institutional Study. World Journal of Surgery. 47(3). 773–784. 5 indexed citations
3.
Chen, Chen, Hong Wu, Tianqiang Song, et al.. (2022). Recurrence and prognosis in intrahepatic cholangiocarcinoma patients with different etiology after radical resection: a multi-institutional study. BMC Cancer. 22(1). 329–329. 12 indexed citations
4.
Zhang, Jian, Chen Chen, Tianqiang Song, et al.. (2022). A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis. Frontiers in Oncology. 12. 896764–896764. 11 indexed citations
5.
Duan, Xiaohui, Yi Cai, Tingting He, et al.. (2021). The effect of the TP53 and RB1 mutations on the survival of hepatocellular carcinoma patients with different racial backgrounds. Journal of Gastrointestinal Oncology. 12(4). 1786–1796. 11 indexed citations
6.
Chen, Chen, Yongjie Zhang, Ning Yang, et al.. (2021). Optimal Lymph Node Staging System in Evaluating Prognosis of Gallbladder Carcinoma: A Multi-institutional Study. Annals of Surgical Oncology. 28(13). 8142–8151. 10 indexed citations
7.
Zhang, Yun, Jianming Xu, Jie Shen, et al.. (2021). Update on overall survival (OS) of RESCUE: An open-label, phase 2 trial of camrelizumab (C) in combination with apatinib (A) in patients with advanced hepatocellular carcinoma (HCC).. Journal of Clinical Oncology. 39(15_suppl). 4076–4076. 8 indexed citations
8.
Wu, Yuxin, Hong Wu, Tianqiang Song, et al.. (2021). [A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network].. PubMed. 59(4). 265–271. 2 indexed citations
9.
Duan, Xiaohui, et al.. (2021). Knockdown of PSMC2 contributes to suppression of cholangiocarcinoma development by regulating CDK1. Aging. 13(17). 21325–21344. 6 indexed citations
10.
Wu, Yuhan, Zhiqiang Cai, Yongjie Zhang, et al.. (2020). Survival prediction for gallbladder carcinoma after curative resection: Comparison of nomogram and Bayesian network models. European Journal of Surgical Oncology. 46(11). 2106–2113. 12 indexed citations
11.
12.
Chen, Chen, Yuhan Wu, Hong Wu, et al.. (2020). [Application value of different lymph node staging system in predicting prognosis of patients with intrahepatic cholangiocarcinoma].. PubMed. 58(4). 295–302. 1 indexed citations
13.
Duan, Xiaohui, Wei Li, Peng Hu, et al.. (2020). MicroRNA-183-5p contributes to malignant progression through targeting PDCD4 in human hepatocellular carcinoma. Bioscience Reports. 40(10). 10 indexed citations
14.
Yu, Jiong-Jie, Lei Liang, Lun Lu, et al.. (2019). Association between body mass index and postoperative morbidity after liver resection of hepatocellular carcinoma. HPB. 22(2). 289–297. 13 indexed citations
15.
Mao, Xianhai, et al.. (2018). MiR-545-3p/MT1M axis regulates cell proliferation, invasion and migration in hepatocellular carcinoma. Biomedicine & Pharmacotherapy. 108. 347–354. 35 indexed citations
16.
Liu, Sulai, Yonggang Wang, Xiaohui Duan, et al.. (2018). miR-155-5p is Negatively Associated with Acute Pancreatitis and Inversely Regulates Pancreatic Acinar Cell Progression by Targeting Rela and Traf3. Cellular Physiology and Biochemistry. 51(4). 1584–1599. 22 indexed citations
17.
Mao, Xianhai, Xiaohui Duan, & Bo Jiang. (2016). Fascin Induces Epithelial-Mesenchymal Transition of Cholangiocarcinoma Cells by Regulating Wnt/β-Catenin Signaling. Medical Science Monitor. 22. 3479–3485. 20 indexed citations
18.
Duan, Xiaohui, Xianhai Mao, & Weijia Sun. (2013). ADAM15 is involved in MICB shedding and mediates the effects of gemcitabine on MICB shedding in PANC-1 pancreatic cancer cells. Molecular Medicine Reports. 7(3). 991–997. 12 indexed citations
19.
Mao, Xianhai, et al.. (2012). Differential Expression of Fascin, E-cadherin and Vimentin: Proteins Associated With Survival of Cholangiocarcinoma Patients. The American Journal of the Medical Sciences. 346(4). 261–268. 23 indexed citations
20.
Wang, J., Xianhai Mao, Hiroshi Ito, & Keishiro Shimura. (1991). Immunomodulatory Activity of Polysaccharide fromAcanthopanax obovatusRoots. Planta Medica. 57(4). 335–336. 17 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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