Yong Mao

12.6k total citations · 1 hit paper
204 papers, 5.5k citations indexed

About

Yong Mao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yong Mao has authored 204 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 43 papers in Oncology and 41 papers in Cancer Research. Recurrent topics in Yong Mao's work include Cancer Immunotherapy and Biomarkers (15 papers), Cancer-related molecular mechanisms research (15 papers) and Tissue Engineering and Regenerative Medicine (12 papers). Yong Mao is often cited by papers focused on Cancer Immunotherapy and Biomarkers (15 papers), Cancer-related molecular mechanisms research (15 papers) and Tissue Engineering and Regenerative Medicine (12 papers). Yong Mao collaborates with scholars based in China, United States and Türkiye. Yong Mao's co-authors include Jean E. Schwarzbauer, Leroy F. Liu, Shyamal D. Desai, Tsai‐Kun Li, Joachim Kohn, Sai-Peng Sim, Hua Dong, Jaulang Hwang, Chun‐Yuan Ting and Nai Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Yong Mao

195 papers receiving 5.4k citations

Hit Papers

Fibronectin fibrillogenesis, a cell-mediated matrix assem... 2005 2026 2012 2019 2005 200 400 600
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. Fibronectin fibrillogenesis, a cell-mediated matrix assembly process
    2005 608 citations Yong Mao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Mao China 36 2.8k 1.3k 1.2k 553 511 204 5.5k
Gopal C. Kundu India 50 3.6k 1.3× 1.5k 1.2× 1.5k 1.3× 342 0.6× 623 1.2× 134 7.3k
Ying Zhang China 40 3.5k 1.2× 1.2k 0.9× 1.8k 1.5× 400 0.7× 455 0.9× 258 6.2k
Qun Lin China 37 3.4k 1.2× 1.8k 1.4× 1.1k 0.9× 455 0.8× 202 0.4× 127 6.5k
Lin Wang China 45 3.4k 1.2× 1.2k 0.9× 1.7k 1.4× 612 1.1× 609 1.2× 323 8.4k
Xiaojun Ma China 41 2.7k 1.0× 1.5k 1.2× 1.8k 1.5× 942 1.7× 463 0.9× 167 6.6k
In‐San Kim South Korea 50 4.6k 1.6× 1.5k 1.2× 1.0k 0.9× 433 0.8× 1.2k 2.4× 166 7.7k
Marie Ranson Australia 40 1.6k 0.6× 1.0k 0.8× 1.1k 1.0× 178 0.3× 267 0.5× 143 4.7k
Junhua Wu China 38 2.2k 0.8× 1.1k 0.9× 689 0.6× 186 0.3× 705 1.4× 171 4.9k
Hue H. Luu United States 39 4.1k 1.5× 1.2k 0.9× 1.3k 1.1× 1.0k 1.9× 1.2k 2.3× 83 7.6k

Countries citing papers authored by Yong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Mao. A scholar is included among the top collaborators of Yong 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 Yong Mao. Yong 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.
Liu, Huan, et al.. (2025). B7-H3-mediated deubiquitination stabilizing CYP1B1 expression promotes chemotherapy resistance in colorectal cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(5). 167771–167771. 1 indexed citations
2.
Shi, B., Haixin Sun, Zhuang Sun, et al.. (2025). Biological activities and potential functional optimization strategies of corosolic acid: a review. 4(2). 228–237.
3.
Özkul, Ceren, Hakan Eroğlu, Emirhan Nemutlu, et al.. (2025). Co-delivery of azithromycin and nisin through liposomes for skin infection to reduce antimicrobial drug resistance. International Journal of Pharmaceutics. 679. 125764–125764.
4.
Meng, Lu, Jiahui Wei, Wenhui Wu, et al.. (2025). Suppression of FOXO3 by BMP signaling contribute to the different primordial germ cell proliferation between layers and broilers. Biology of Reproduction. 112(5). 942–954. 1 indexed citations
5.
Mao, Yong, et al.. (2024). A Miniaturized Pattern-reconfigurable Antenna for Broadband VHF and UHF Communications. The Applied Computational Electromagnetics Society Journal (ACES). 668–674. 1 indexed citations
6.
Bektas, Cemile Kilic, et al.. (2024). Bovine Placentome-Derived Extracellular Matrix: A Sustainable 3D Scaffold for Cultivated Meat. Bioengineering. 11(8). 854–854. 2 indexed citations
7.
8.
Zhang, Yawen, Xinyi Xu, Qingjun You, et al.. (2023). Exosomal B7-H3 facilitates colorectal cancer angiogenesis and metastasis through AKT1/mTOR/VEGFA pathway. Cellular Signalling. 109. 110737–110737. 20 indexed citations
9.
10.
Mao, Yong, et al.. (2023). Tyrosine-derived polymeric surfactant nanospheres insert cholesterol in cell membranes. Journal of Colloid and Interface Science. 644. 264–274. 2 indexed citations
11.
Liu, Huan, et al.. (2023). Timosaponin AIII induces lipid peroxidation and ferroptosis by enhancing Rab7-mediated lipophagy in colorectal cancer cells. Phytomedicine. 122. 155079–155079. 21 indexed citations
12.
Mao, Yong, et al.. (2023). A tri-layer decellularized, dehydrated human amniotic membrane scaffold supports the cellular functions of human tenocytes in vitro. Journal of Materials Science Materials in Medicine. 34(7). 37–37. 3 indexed citations
13.
Mao, Yong, Jiping Wang, Qun Liu, et al.. (2023). Energy metabolism pathways control the fate of Sinonovacula constricta and induction of immune response under Vibrio parahaemolyticus challenge. Aquaculture. 569. 739364–739364. 2 indexed citations
14.
Fung, Stephanie, et al.. (2019). In Vitro Evaluation of Recombinant Bone Morphogenetic Protein-2 Bioactivity for Regenerative Medicine. Tissue Engineering Part C Methods. 25(9). 553–559. 14 indexed citations
15.
Li, Ji, et al.. (2017). The potential role of aquaporin 1 on aristolochic acid I induced epithelial mesenchymal transition on HK‐2 cells. Journal of Cellular Physiology. 233(6). 4919–4925. 21 indexed citations
16.
Mao, Yong. (2013). The Development of Copper Bonding Wire from the Patent Literature. 1 indexed citations
17.
Mao, Yong, et al.. (2013). Latest research advance in dye wastewater treatment with adsorbent.. Guangdong nongye kexue. 25(7). 116–124. 2 indexed citations
18.
Li, Qian, Shibo Wang, & Yong Mao. (2013). Plane sliding slewing bearing design method. Journal of Machine Design. 30(4). 44–47. 1 indexed citations
19.
Mao, Yong. (2009). The Package of Tourism Products and its Development. 1 indexed citations
20.
Mao, Yong. (2003). Several Simulation Techniques of Blow-off Impulses by Intense Pulsed Cold X-rays.

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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