Ling Qin

7.0k total citations · 1 hit paper
131 papers, 4.5k citations indexed

About

Ling Qin is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Ling Qin has authored 131 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 39 papers in Oncology and 32 papers in Rheumatology. Recurrent topics in Ling Qin's work include Osteoarthritis Treatment and Mechanisms (29 papers), Bone health and treatments (27 papers) and Bone Metabolism and Diseases (27 papers). Ling Qin is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (29 papers), Bone health and treatments (27 papers) and Bone Metabolism and Diseases (27 papers). Ling Qin collaborates with scholars based in United States, China and Canada. Ling Qin's co-authors include Nicola C. Partridge, Valerie A. Siclari, Abhishek Chandra, Ji Zhu, Xin Li, Liza J. Raggatt, Lutian Yao, Xianrong Zhang, Motomi Enomoto‐Iwamoto and X. Sherry Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ling Qin

127 papers receiving 4.4k citations

Hit Papers

Single-cell atlas of human infrapatellar fat pad and syno... 2024 2026 2025 2024 20 40 60

Peers

Ling Qin
Matthew J. Hilton United States
Janet L. Crane United States
Hicham Drissi United States
Nicole J. Horwood United Kingdom
Ellen Filvaroff United States
Matthew J. Hilton United States
Ling Qin
Citations per year, relative to Ling Qin Ling Qin (= 1×) peers Matthew J. Hilton

Countries citing papers authored by Ling Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Qin. A scholar is included among the top collaborators of Ling Qin 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 Ling Qin. Ling Qin 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.
Wang, Huan, Lutian Yao, Leilei Zhong, et al.. (2025). Marrow adipogenic lineage precursors (MALPs) facilitate bone marrow recovery after chemotherapy. Bone. 195. 117446–117446.
2.
Gui, Tao, Anatoliy V. Popov, Qi He, et al.. (2025). Varespladib-Based Lipid Nanoparticles as Highly Efficient Anti-Inflammatory Agents for Osteoarthritis Treatment. ACS Applied Materials & Interfaces. 17(45). 61843–61854.
3.
Guo, Yuhan, et al.. (2025). A practical protocol of processing mineralized tissue for Visium spatial transcriptomics. PubMed. 3(4). 100163–100163.
4.
Zhang, Xu, Zixin Peng, Jianhai Chen, et al.. (2024). Metabolically activated energetic materials mediate cellular anabolism for bone regeneration. Trends in biotechnology. 42(12). 1745–1776. 5 indexed citations
5.
Tang, Su’an, Lutian Yao, Jingliang Kang, et al.. (2024). Single-cell atlas of human infrapatellar fat pad and synovium implicates APOE signaling in osteoarthritis pathology. Science Translational Medicine. 16(731). eadf4590–eadf4590. 61 indexed citations breakdown →
6.
Zhong, Leilei, Lutian Yao, Wei Yu, et al.. (2023). Csf1 from marrow adipogenic precursors is required for osteoclast formation and hematopoiesis in bone. eLife. 12. 25 indexed citations
7.
Zhang, Chenghao, Leilei Zhong, Lutian Yao, et al.. (2023). Single cell RNA sequencing reveals emergent notochord‐derived cell subpopulations in the postnatal nucleus pulposus. The FASEB Journal. 38(1). e23363–e23363. 2 indexed citations
8.
Calabrese, Gina M., Larry D. Mesner, Emily Farber, et al.. (2023). Single‐Cell Transcriptomics of Bone Marrow Stromal Cells in Diversity Outbred Mice: A Model for Population‐Level scRNA‐Seq Studies. Journal of Bone and Mineral Research. 38(9). 1350–1363. 3 indexed citations
9.
Tichy, Elisia D., Grace Qian, Xi Jiang, et al.. (2023). CD206+ tendon resident macrophages and their potential crosstalk with fibroblasts and the ECM during tendon growth and maturation. Frontiers in Physiology. 14. 1122348–1122348. 17 indexed citations
10.
Huang, Menggui, Fan Yang, Duo Zhang, et al.. (2022). Endothelial plasticity drives aberrant vascularization and impedes cardiac repair after myocardial infarction. Nature Cardiovascular Research. 1(4). 372–388. 13 indexed citations
11.
Zhong, Leilei, Lutian Yao, Nicholas Holdreith, et al.. (2022). Transient expansion and myofibroblast conversion of adipogenic lineage precursors mediate bone marrow repair after radiation. JCI Insight. 7(7). 9 indexed citations
12.
Wei, Yulong, Lesan Yan, Lijun Luo, et al.. (2021). Phospholipase A 2 inhibitor–loaded micellar nanoparticles attenuate inflammation and mitigate osteoarthritis progression. Science Advances. 7(15). 59 indexed citations
13.
Haseeb, Abdul, Ranjan Kc, Marco Angelozzi, et al.. (2021). SOX9 keeps growth plates and articular cartilage healthy by inhibiting chondrocyte dedifferentiation/osteoblastic redifferentiation. Proceedings of the National Academy of Sciences. 118(8). 152 indexed citations
14.
Li, Xinhua, et al.. (2021). Type II Collagen-Positive Embryonic Progenitors are the Major Contributors to Spine and Intervertebral Disc Development and Repair. Stem Cells Translational Medicine. 10(10). 1419–1432. 10 indexed citations
15.
Zhong, Leilei, Lutian Yao, Patrick Seale, & Ling Qin. (2021). Marrow adipogenic lineage precursor: A new cellular component of marrow adipose tissue. Best Practice & Research Clinical Endocrinology & Metabolism. 35(4). 101518–101518. 22 indexed citations
16.
Huang, Menggui, Duo Zhang, Chunsheng Li, et al.. (2020). Wnt-mediated endothelial transformation into mesenchymal stem cell–like cells induces chemoresistance in glioblastoma. Science Translational Medicine. 12(532). 106 indexed citations
17.
Zhong, Leilei, Lutian Yao, & Ling Qin. (2020). A Novel Enzymatic Digestion Approach for Isolation and Culture of Rodent Bone Marrow Mesenchymal Progenitors. Methods in molecular biology. 2221. 29–39. 1 indexed citations
18.
Wei, Yulong, Robert J. Tower, Zuozhen Tian, et al.. (2019). Spatial distribution of type II collagen gene expression in the mouse intervertebral disc. SHILAP Revista de lepidopterología. 2(4). e1070–e1070. 12 indexed citations
19.
Zhang, Yejia, Zuozhen Tian, Jason W. Ashley, et al.. (2018). Extracellular Matrix and Adhesion Molecule Gene Expression in the Normal and Injured Murine Intervertebral Disc. American Journal of Physical Medicine & Rehabilitation. 98(1). 35–42. 15 indexed citations
20.
Tian, Zuozhen, Xiaoyuan Ma, Robert L. Mauck, et al.. (2017). Intervertebral Disc Degeneration in a Percutaneous Mouse Tail Injury Model. American Journal of Physical Medicine & Rehabilitation. 97(3). 170–177. 35 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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