Guping Mao

1.5k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Guping Mao is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Guping Mao has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 21 papers in Cancer Research and 19 papers in Rheumatology. Recurrent topics in Guping Mao's work include Osteoarthritis Treatment and Mechanisms (18 papers), Cancer-related molecular mechanisms research (16 papers) and MicroRNA in disease regulation (10 papers). Guping Mao is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (18 papers), Cancer-related molecular mechanisms research (16 papers) and MicroRNA in disease regulation (10 papers). Guping Mao collaborates with scholars based in China, United States and Nepal. Guping Mao's co-authors include Ziji Zhang, Wei‐Ming Liao, Zhiqi Zhang, Shu Hu, Zhiyu Huang, Yan Kang, Yan Kang, Peihui Wu, Xiaoyi Zhao and Xingzhao Wen and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Journal of Bone and Mineral Research.

In The Last Decade

Guping Mao

33 papers receiving 1.2k citations

Hit Papers

Exosomes derived from miR-92a-3p-overexpressing human mes... 2018 2026 2020 2023 2018 100 200 300

Peers

Guping Mao
Guoli Hu China
Andreia Ionescu United States
Clare Darrah United Kingdom
Guping Mao
Citations per year, relative to Guping Mao Guping Mao (= 1×) peers Zhiyu Huang

Countries citing papers authored by Guping Mao

Since Specialization
Citations

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

Fields of papers citing papers by Guping Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guping Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Guping Mao. A scholar is included among the top collaborators of Guping 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 Guping Mao. Guping 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.
Smith, Neal P., et al.. (2025). Single cell RNA sequencing shows that cells expressing Sox9 postnatally populate most skeletal lineages in mouse bone. Journal of Bone and Mineral Research. 40(6). 799–812. 2 indexed citations
2.
Zhu, Zijing, Dianbo Long, Xingzhao Wen, et al.. (2025). M6A Demethyltransferase FTO Attenuates Meniscus Degeneration and Osteoarthritis via Orchestrating Autophagy and Energetic Metabolism. Advanced Science. 12(9). e2412379–e2412379.
3.
Long, Dianbo, et al.. (2024). tRNA-derived fragment 3031B regulates human anterior cruciate ligament cell proliferation and survival by targeting RELA. Gene. 933. 148897–148897. 1 indexed citations
4.
Long, Dianbo, Xiaoyi Zhao, Yiyang Xu, et al.. (2024). m7G-modified mt-tRF3b-LeuTAA regulates mitophagy and metabolic reprogramming via SUMOylation of SIRT3 in chondrocytes. Biomaterials. 314. 122903–122903. 12 indexed citations
6.
Li, Wei, Dianbo Long, Min Li, et al.. (2024). Forsythoside A mitigates osteoarthritis and inhibits chondrocyte senescence by promoting mitophagy and suppressing NLRP3 inflammasome via the Nrf2 pathway. Phytomedicine. 135. 156052–156052. 9 indexed citations
7.
Li, Zhiwen, S. Zhang, Guping Mao, et al.. (2023). Identification of anterior cruciate ligament fibroblasts and their contribution to knee osteoarthritis progression using single-cell analyses. International Immunopharmacology. 125(Pt A). 111109–111109. 2 indexed citations
8.
Mao, Guping, Zhiwen Li, Shu Hu, et al.. (2022). CircNFIX regulates chondrogenesis and cartilage homeostasis by targeting the miR758‐3p/KDM6A axis. Cell Proliferation. 55(11). e13302–e13302. 13 indexed citations
9.
Cheng, Xing, Guping Mao, Wenjie Hu, et al.. (2022). Exercise combined with administration of adipose-derived stem cells ameliorates neuropathic pain after spinal cord injury. Neural Regeneration Research. 18(8). 0–0. 7 indexed citations
10.
Xu, Yiyang, Guping Mao, Ziji Zhang, & Kang Yan. (2021). Research progress of circular RNAs in osteoarthritis: from known to unknown. Zhongguo zuzhi gongcheng yanjiu yu linchuang kangfu. 25(10). 1592.
11.
Xu, Yiyang, Hong Sun, Dianbo Long, et al.. (2021). Long Non-coding RNAs LOC100126784 and POM121L9P Derived From Bone Marrow Mesenchymal Stem Cells Enhance Osteogenic Differentiation via the miR-503-5p/SORBS1 Axis. Frontiers in Cell and Developmental Biology. 9. 723759–723759. 25 indexed citations
12.
Li, Hong‐Yi, Xiaoyi Zhao, Xingzhao Wen, et al.. (2020). Inhibition of miR-490-5p Promotes Human Adipose-Derived Stem Cells Chondrogenesis and Protects Chondrocytes via the PITPNM1/PI3K/AKT Axis. Frontiers in Cell and Developmental Biology. 8. 573221–573221. 20 indexed citations
13.
Liu, Miao, Peng Yang, Guping Mao, et al.. (2019). Long non-coding RNA MALAT1 as a valuable biomarker for prognosis in osteosarcoma: A systematic review and meta-analysis. International Journal of Surgery. 72. 206–213. 28 indexed citations
14.
Zhang, Zhiqi, et al.. (2019). miR‐193b‐5p regulates chondrocytes metabolism by directly targeting histone deacetylase 7 in interleukin‐1β‐induced osteoarthritis. Journal of Cellular Biochemistry. 120(8). 12775–12784. 24 indexed citations
15.
Sun, Hao, Xingzhao Wen, Hongyi Li, et al.. (2019). Single-cell RNA-seq analysis identifies meniscus progenitors and reveals the progression of meniscus degeneration. Annals of the Rheumatic Diseases. 79(3). 408–417. 90 indexed citations
16.
Mao, Guping, Yan Kang, Shu Hu, et al.. (2019). Long Non-coding RNA HOTTIP Promotes CCL3 Expression and Induces Cartilage Degradation by Sponging miR-455-3p. Frontiers in Cell and Developmental Biology. 7. 161–161. 35 indexed citations
17.
Hu, Shu, Guping Mao, Ziji Zhang, et al.. (2019). MicroRNA-320c inhibits development of osteoarthritis through downregulation of canonical Wnt signaling pathway. Life Sciences. 228. 242–250. 52 indexed citations
18.
Mao, Guping, Yan Kang, Zhe Zhang, & Wenbo Liao. (2018). Exosomes derived from miR-92a-3p-overexpressing human mesenchymal stem cells enhance chondrogenesis and prevent the development of osteoarthritis. Osteoarthritis and Cartilage. 26. S103–S103. 3 indexed citations
19.
Mao, Guping, Peihui Wu, Ziji Zhang, et al.. (2017). MicroRNA-92a-3p Regulates Aggrecanase-1 and Aggrecanase-2 Expression in Chondrogenesis and IL-1β-Induced Catabolism in Human Articular Chondrocytes. Cellular Physiology and Biochemistry. 44(1). 38–52. 42 indexed citations
20.
Mao, Guping, Zhe Zhang, Zhiyu Huang, et al.. (2016). MicroRNA-92a-3p regulates the expression of cartilage-specific genes by directly targeting histone deacetylase 2 in chondrogenesis and degradation. Osteoarthritis and Cartilage. 25(4). 521–532. 98 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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