Ziming Mao

709 total citations
24 papers, 438 citations indexed

About

Ziming Mao is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Ziming Mao has authored 24 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Ziming Mao's work include Topic Modeling (4 papers), MicroRNA in disease regulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). Ziming Mao is often cited by papers focused on Topic Modeling (4 papers), MicroRNA in disease regulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). Ziming Mao collaborates with scholars based in China, United States and United Kingdom. Ziming Mao's co-authors include Jing Zhu, Fengling Chen, Huifang Liu, Fengling Chen, Guangya Zhang, Huai‐Dong Song, Jiangping He, Xiaofei Ye, Yuru Ma and Dragomir Radev and has published in prestigious journals such as Free Radical Biology and Medicine, Cancer Letters and Cell Death and Disease.

In The Last Decade

Ziming Mao

24 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziming Mao China 13 207 99 96 59 37 24 438
Yufeng Guo China 13 433 2.1× 136 1.4× 72 0.8× 71 1.2× 48 1.3× 50 786
Huayi Yang China 13 217 1.0× 42 0.4× 54 0.6× 37 0.6× 69 1.9× 19 468
Qi Zheng United States 14 313 1.5× 254 2.6× 62 0.6× 56 0.9× 63 1.7× 34 716
Qinyu Li China 13 201 1.0× 71 0.7× 43 0.4× 56 0.9× 26 0.7× 39 531
Yuzhu Cao China 13 297 1.4× 88 0.9× 50 0.5× 22 0.4× 43 1.2× 31 591
Lulu Li China 13 224 1.1× 124 1.3× 63 0.7× 54 0.9× 30 0.8× 24 457
Hanning Wang China 17 330 1.6× 97 1.0× 35 0.4× 71 1.2× 31 0.8× 54 752
Pengzhan He China 11 156 0.8× 62 0.6× 38 0.4× 45 0.8× 41 1.1× 25 357
Jingbo Yang China 12 167 0.8× 35 0.4× 63 0.7× 46 0.8× 25 0.7× 30 518

Countries citing papers authored by Ziming Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ziming Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Ziming Mao. A scholar is included among the top collaborators of Ziming 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 Ziming Mao. Ziming 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.
Mao, Ziming, Henry Zheng, Jia Xu, et al.. (2025). CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9184–9192. 1 indexed citations
2.
Zhang, Guangya, et al.. (2024). UFM1 inhibits hypoxia-induced angiogenesis via promoting proteasome degradation of HIF-1α. Molecular and Cellular Biochemistry. 479(7). 1833–1852. 2 indexed citations
3.
Mao, Ziming, et al.. (2023). Ufmylation on UFBP1 alleviates non-alcoholic fatty liver disease by modulating hepatic endoplasmic reticulum stress. Cell Death and Disease. 14(9). 584–584. 15 indexed citations
4.
Mao, Ziming, et al.. (2023). TRAIP serves as a potential prognostic biomarker and correlates with immune infiltrates in lung adenocarcinoma. International Immunopharmacology. 122. 110605–110605. 3 indexed citations
5.
Zhu, Jing, Dandan Zhang, Ziming Mao, et al.. (2022). P4HB UFMylation regulates mitochondrial function and oxidative stress. Free Radical Biology and Medicine. 188. 277–286. 28 indexed citations
6.
Liu, Huifang, et al.. (2022). miR-185-5p Regulates Inflammation and Phagocytosis through CDC42/JNK Pathway in Macrophages. Genes. 13(3). 468–468. 20 indexed citations
7.
Liao, Mingjuan, Yongling Wang, Ziming Mao, et al.. (2022). Corilagin prevents non-alcoholic fatty liver disease via improving lipid metabolism and glucose homeostasis in high fat diet-fed mice. Frontiers in Nutrition. 9. 983450–983450. 15 indexed citations
8.
Tang, Xiangru, Alexander R. Fabbri, Haoran Li, et al.. (2022). Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 11 indexed citations
9.
Mao, Ziming, Chen Wu, Ansong Ni, et al.. (2022). DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 18 indexed citations
10.
Mao, Ziming, et al.. (2022). UFMylation System: An Emerging Player in Tumorigenesis. Cancers. 14(14). 3501–3501. 16 indexed citations
11.
Liu, Chunying, Xuejing Lin, Bin Sun, et al.. (2021). PRCC reduces the sensitivity of cancer cells to DNA damage by inhibiting JNK and ATM/ATR pathways and results in a poor prognosis in hepatocellular carcinoma. Cell & Bioscience. 11(1). 185–185. 2 indexed citations
12.
13.
Liu, Huifang, et al.. (2020). Circular RNA has_circ_0003204 inhibits oxLDL-induced vascular endothelial cell proliferation and angiogenesis. Cellular Signalling. 70. 109595–109595. 31 indexed citations
14.
Yang, Yan, et al.. (2019). Correlation of serum vitamin D level with metabolic syndrome in patients with type 2 diabetes mellitus. Zhonghua neifenmi daixie zazhi. 35(7). 564–569. 1 indexed citations
15.
Zhang, Guangya, Jiangping He, Xiaofei Ye, et al.. (2019). β-Thujaplicin induces autophagic cell death, apoptosis, and cell cycle arrest through ROS-mediated Akt and p38/ERK MAPK signaling in human hepatocellular carcinoma. Cell Death and Disease. 10(4). 255–255. 122 indexed citations
16.
Mao, Ziming, et al.. (2019). Thermo-mechanical analysis of multilayered composite beams based on a new mixed global-local model. Journal of Composite Materials. 53(28-30). 3963–3978. 1 indexed citations
17.
Liu, Huifang, Jing Zhu, Ziming Mao, et al.. (2018). Tuft1 promotes thyroid carcinoma cell invasion and proliferation and suppresses apoptosis through the Akt-mTOR/GSK3β signaling pathway.. PubMed. 10(12). 4376–4384. 12 indexed citations
18.
Liu, Shuai, S. Felix Wu, Yufei Liu, Zhigang Wu, & Ziming Mao. (2018). Autonomous reinforcement learning control for space robot to capture non-cooperative targets. Zhongguo kexue. Wulixue Lixue Tianwenxue. 49(2). 24512–24512. 5 indexed citations
19.
Mao, Ziming, Chunying Liu, Xuejing Lin, Bin Sun, & Changqing Su. (2017). PPP2R5A: A multirole protein phosphatase subunit in regulating cancer development. Cancer Letters. 414. 222–229. 18 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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