Depeng Wu

638 total citations · 1 hit paper
7 papers, 458 citations indexed

About

Depeng Wu is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Depeng Wu has authored 7 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Rheumatology. Recurrent topics in Depeng Wu's work include Bone health and treatments (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Bone Metabolism and Diseases (3 papers). Depeng Wu is often cited by papers focused on Bone health and treatments (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Bone Metabolism and Diseases (3 papers). Depeng Wu collaborates with scholars based in China, Australia and United States. Depeng Wu's co-authors include Limin Rong, Bin Liu, Tianwei He, Qing Zhou, Lei Fan, Can Liu, Yuyong Chen, Lei He, Zhenming Tian and Yang Wang and has published in prestigious journals such as The FASEB Journal, Journal of Cellular Physiology and Cell Death and Disease.

In The Last Decade

Depeng Wu

7 papers receiving 454 citations

Hit Papers

align trajectories

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.

Bone marrow mesenchymal stem cell-derived exosomes protect cartilage damage and relieve knee osteoarthritis pain in a rat model of osteoarthritis

2020 306 citations Lei He, Tianwei He et al. Stem Cell Research & Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Depeng Wu China	7	331	193	153	75	46	7	458
Bin Zuo China	11	337 1.0×	111 0.6×	223 1.5×	65 0.9×	54 1.2×	21	536
Yuanxin Zhu China	14	312 0.9×	89 0.5×	151 1.0×	56 0.7×	38 0.8×	33	600
Liangbo Lin China	9	235 0.7×	170 0.9×	111 0.7×	107 1.4×	90 2.0×	10	568
David Guérit France	10	333 1.0×	221 1.1×	231 1.5×	150 2.0×	81 1.8×	16	667
Lomeli R. Carpio United States	12	493 1.5×	116 0.6×	144 0.9×	37 0.5×	45 1.0×	13	663
Menglei Xu China	10	193 0.6×	90 0.5×	81 0.5×	29 0.4×	69 1.5×	34	365
Svetlana Frank Germany	7	302 0.9×	226 1.2×	75 0.5×	38 0.5×	49 1.1×	8	617
Amanda Dicks United States	8	277 0.8×	396 2.1×	118 0.8×	87 1.2×	115 2.5×	15	638
Jincheng Qiu China	10	150 0.5×	90 0.5×	66 0.4×	40 0.5×	43 0.9×	23	402

Countries citing papers authored by Depeng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Depeng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Depeng Wu

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

All Works

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7 of 7 papers shown

1.

Li, Shangfu, Depeng Wu, Chaofeng Hu, et al.. (2023). Antidementia medication acetylcholinesterase inhibitors have therapeutic benefits on osteoporotic bone by attenuating osteoclastogenesis and bone resorption. Journal of Cellular Physiology. 238(8). 1823–1835. 6 indexed citations

2.

Chen, Zihao, Zhe Wang, Tianwei He, et al.. (2023). Cartilage tissue from sites of weight bearing in patients with osteoarthritis exhibits a differential phenotype with distinct chondrocytes subests. RMD Open. 9(4). e003255–e003255. 8 indexed citations

3.

Wang, Yang, et al.. (2021). Umbilical mesenchymal stem cell-derived exosomes facilitate spinal cord functional recovery through the miR-199a-3p/145-5p-mediated NGF/TrkA signaling pathway in rats. Stem Cell Research & Therapy. 12(1). 117–117. 109 indexed citations

4.

Li, Shangfu, Tianwei He, Depeng Wu, et al.. (2020). Conditional Knockout of PKC-δ in Osteoclasts Favors Bone Mass Accrual in Males Due to Decreased Osteoclast Function. Frontiers in Cell and Developmental Biology. 8. 450–450. 8 indexed citations

5.

Li, Shangfu, Qiuli Liu, Depeng Wu, et al.. (2020). PKC-δ deficiency in B cells displays osteopenia accompanied with upregulation of RANKL expression and osteoclast–osteoblast uncoupling. Cell Death and Disease. 11(9). 762–762. 13 indexed citations

6.

He, Lei, Tianwei He, Qing Zhou, et al.. (2020). Bone marrow mesenchymal stem cell-derived exosomes protect cartilage damage and relieve knee osteoarthritis pain in a rat model of osteoarthritis. Stem Cell Research & Therapy. 11(1). 276–276. 306 indexed citations breakdown →

7.

He, Tianwei, Depeng Wu, Lei He, et al.. (2020). Casein kinase 1 epsilon facilitates cartilage destruction in osteoarthritis through JNK pathway. The FASEB Journal. 34(5). 6466–6478. 8 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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