Jianting Mao

558 total citations
10 papers, 405 citations indexed

About

Jianting Mao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jianting Mao has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Jianting Mao's work include Cancer, Hypoxia, and Metabolism (3 papers), CAR-T cell therapy research (2 papers) and RNA modifications and cancer (1 paper). Jianting Mao is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), CAR-T cell therapy research (2 papers) and RNA modifications and cancer (1 paper). Jianting Mao collaborates with scholars based in China. Jianting Mao's co-authors include Qiaoyou Weng, Minjiang Chen, Jiansong Ji, Aiwu Mao, Min Xu, Jiansong Ji, Zhongwei Zhao, Min Xu, Xiaoxi Fan and Li Huang and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Cellular Physiology and Cancer Letters.

In The Last Decade

Jianting Mao

10 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianting Mao China 7 312 124 70 44 39 10 405
Roberto Vendramin Belgium 6 328 1.1× 249 2.0× 70 1.0× 25 0.6× 28 0.7× 12 440
Omer Gilan Australia 10 253 0.8× 92 0.7× 93 1.3× 27 0.6× 28 0.7× 13 362
Ingrid Lilienthal Sweden 5 278 0.9× 84 0.7× 54 0.8× 40 0.9× 65 1.7× 9 371
Fiona M. Behan United Kingdom 11 350 1.1× 80 0.6× 79 1.1× 34 0.8× 27 0.7× 12 443
Linchao Lu United States 12 393 1.3× 109 0.9× 78 1.1× 47 1.1× 53 1.4× 17 484
Kiyoung Eun South Korea 8 258 0.8× 122 1.0× 181 2.6× 24 0.5× 32 0.8× 16 395
Aarti Sethuraman United States 8 293 0.9× 240 1.9× 97 1.4× 24 0.5× 29 0.7× 15 443
Byungho Lim South Korea 14 354 1.1× 160 1.3× 104 1.5× 69 1.6× 85 2.2× 25 563
Jinsong Liu United States 7 199 0.6× 105 0.8× 127 1.8× 85 1.9× 28 0.7× 16 386

Countries citing papers authored by Jianting Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jianting Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianting Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianting Mao. A scholar is included among the top collaborators of Jianting 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 Jianting Mao. Jianting Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kong, Chunli, Liyun Zheng, Jianting Mao, et al.. (2021). Percutaneous biliary stent combined with brachytherapy using 125I seeds for treatment of unresectable malignant obstructive jaundice: A meta-analysis. World Journal of Clinical Cases. 9(35). 10979–10993. 2 indexed citations
2.
Zhao, Zhongwei, Wenyuan Guo, Shiji Fang, et al.. (2021). An armored GPC3-directed CAR-T for refractory or relapsed hepatocellular carcinoma in China: A phase I trial.. Journal of Clinical Oncology. 39(15_suppl). 4095–4095. 11 indexed citations
3.
Lu, Chenying, Shiji Fang, Qiaoyou Weng, et al.. (2020). Correction to: Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma. Cell Communication and Signaling. 18(1). 165–165. 1 indexed citations
4.
Lu, Chenying, Shiji Fang, Qiaoyou Weng, et al.. (2020). Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma. Cell Communication and Signaling. 18(1). 97–97. 50 indexed citations
5.
Wang, Hailin, Jianting Mao, Zhen Chen, et al.. (2020). The correlation between CT features and insulin resistance levels in patients with T2DM complicated with primary pulmonary tuberculosis. Journal of Cellular Physiology. 235(12). 9370–9377. 13 indexed citations
6.
7.
Chen, Minjiang, Aiwu Mao, Min Xu, et al.. (2019). CRISPR-Cas9 for cancer therapy: Opportunities and challenges. Cancer Letters. 447. 48–55. 185 indexed citations
8.
Fang, Shiji, Dengke Zhang, Wei Weng, et al.. (2019). CPSF7 regulates liver cancer growth and metastasis by facilitating WWP2-FL and targeting the WWP2/PTEN/AKT signaling pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(2). 118624–118624. 22 indexed citations
9.
Chen, Minjiang, Liming Wu, Jianfei Tu, et al.. (2018). miR-590-5p suppresses hepatocellular carcinoma chemoresistance by targeting YAP1 expression. EBioMedicine. 35. 142–154. 74 indexed citations
10.
Xu, Min, et al.. (2018). FGFR4 Links Glucose Metabolism and Chemotherapy Resistance in Breast Cancer. Cellular Physiology and Biochemistry. 47(1). 151–160. 43 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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