Chia‐Lung Wu

2.4k total citations · 1 hit paper
40 papers, 1.7k citations indexed

About

Chia‐Lung Wu is a scholar working on Rheumatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chia‐Lung Wu has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Rheumatology, 16 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Chia‐Lung Wu's work include Osteoarthritis Treatment and Mechanisms (17 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Chia‐Lung Wu is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (17 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Chia‐Lung Wu collaborates with scholars based in United States, South Korea and Mexico. Chia‐Lung Wu's co-authors include Farshid Guilak, Amanda Dicks, Robert J. Nims, Ingrid Meulenbelt, Dianne Little, Ruhang Tang, Virginia B. Kraus, Janet L. Huebner, Kelly A. Kimmerling and Natalia S. Harasymowicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Chia‐Lung Wu

39 papers receiving 1.7k citations

Hit Papers

Osteoarthritis as a disease of the cartilage pericellular... 2018 2026 2020 2023 2018 100 200 300

Peers

Chia‐Lung Wu
Chun‐do Oh United States
Jennifer H. Jonason United States
Mohammed Sharif United Kingdom
Anastasios Chanalaris United Kingdom
Chia‐Lung Wu
Citations per year, relative to Chia‐Lung Wu Chia‐Lung Wu (= 1×) peers Andrei S. Chagin

Countries citing papers authored by Chia‐Lung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Lung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Lung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Lung Wu. A scholar is included among the top collaborators of Chia‐Lung 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 Chia‐Lung Wu. Chia‐Lung Wu 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.
Wu, Chia‐Lung, et al.. (2025). The alterations of molecular repertoire of the RANKL-induced osteoclastogenesis in the M1 macrophage-derived inflammatory milieu. Scientific Reports. 15(1). 16137–16137. 4 indexed citations
2.
Gray, Ryan S., et al.. (2024). The G protein-coupled receptor ADGRG6 maintains mouse growth plate homeostasis through IHH signaling. Journal of Bone and Mineral Research. 39(11). 1644–1658. 4 indexed citations
4.
Dicks, Amanda, Grigory Maksaev, Alireza Savadipour, et al.. (2023). Skeletal dysplasia-causing TRPV4 mutations suppress the hypertrophic differentiation of human iPSC-derived chondrocytes. eLife. 12. 12 indexed citations
5.
Xie, Shaojun, Sulbha Choudhari, Chia‐Lung Wu, et al.. (2023). Aging and obesity prime the methylome and transcriptome of adipose stem cells for disease and dysfunction. The FASEB Journal. 37(3). e22785–e22785. 5 indexed citations
6.
Kenney, H. Mark, Javier Rangel‐Moreno, Enrique Becerril‐Villanueva, et al.. (2023). Multi-omics analysis identifies IgG2b class-switching with ALCAM-CD6 co-stimulation in joint-draining lymph nodes during advanced inflammatory-erosive arthritis. Frontiers in Immunology. 14. 1237498–1237498. 8 indexed citations
7.
Kuhns, Benjamin D., Gillian Soles, Jennifer H. Jonason, et al.. (2022). Whole‐genome RNA sequencing identifies distinct transcriptomic profiles in impingement cartilage between patients with femoroacetabular impingement and hip osteoarthritis. Journal of Orthopaedic Research®. 41(7). 1517–1530. 5 indexed citations
8.
Kenney, H. Mark, Chia‐Lung Wu, Alayna E. Loiselle, et al.. (2022). Single-cell transcriptomics of popliteal lymphatic vessels and peripheral veins reveals altered lymphatic muscle and immune cell populations in the TNF-Tg arthritis model. Arthritis Research & Therapy. 24(1). 64–64. 17 indexed citations
9.
Dicks, Amanda, Nancy Steward, Farshid Guilak, & Chia‐Lung Wu. (2022). Chondrogenic Differentiation of Human-Induced Pluripotent Stem Cells. Methods in molecular biology. 2598. 87–114. 6 indexed citations
10.
Ackerman, Jessica E., et al.. (2022). Defining the spatial-molecular map of fibrotic tendon healing and the drivers of Scleraxis-lineage cell fate and function. Cell Reports. 41(8). 111706–111706. 30 indexed citations
11.
Choi, Yun‐Rak, Kelsey H. Collins, Luke E. Springer, et al.. (2021). A genome-engineered bioartificial implant for autoregulated anticytokine drug delivery. Science Advances. 7(36). eabj1414–eabj1414. 32 indexed citations
12.
Wu, Chia‐Lung, Amanda Dicks, Nancy Steward, et al.. (2021). Single cell transcriptomic analysis of human pluripotent stem cell chondrogenesis. Nature Communications. 12(1). 362–362. 98 indexed citations
13.
Dicks, Amanda, Chia‐Lung Wu, Nancy Steward, et al.. (2020). Prospective isolation of chondroprogenitors from human iPSCs based on cell surface markers identified using a CRISPR-Cas9-generated reporter. Stem Cell Research & Therapy. 11(1). 66–66. 44 indexed citations
14.
Oestreich, Arin K., Kelsey H. Collins, Natalia S. Harasymowicz, Chia‐Lung Wu, & Farshid Guilak. (2020). Is Obesity a Disease of Stem Cells?. Cell stem cell. 27(1). 15–18. 20 indexed citations
15.
Schwartz, Andrea G., et al.. (2019). Effects of dietary fatty acid content on humeral cartilage and bone structure in a mouse model of diet‐induced obesity. Journal of Orthopaedic Research®. 37(3). 779–788. 11 indexed citations
16.
Tang, Ruhang, Liufang Jing, Vincent P. Willard, et al.. (2018). Differentiation of human induced pluripotent stem cells into nucleus pulposus-like cells. Stem Cell Research & Therapy. 9(1). 61–61. 76 indexed citations
17.
Guilak, Farshid, Robert J. Nims, Amanda Dicks, Chia‐Lung Wu, & Ingrid Meulenbelt. (2018). Osteoarthritis as a disease of the cartilage pericellular matrix. Matrix Biology. 71-72. 40–50. 335 indexed citations breakdown →
18.
Wu, Chia‐Lung, Kelly A. Kimmerling, Dianne Little, & Farshid Guilak. (2017). Serum and synovial fluid lipidomic profiles predict obesity-associated osteoarthritis, synovitis, and wound repair. Scientific Reports. 7(1). 44315–44315. 59 indexed citations
19.
Adkar, Shaunak, Jonathan M. Brunger, Vincent P. Willard, et al.. (2017). Genome Engineering for Personalized Arthritis Therapeutics. Trends in Molecular Medicine. 23(10). 917–931. 47 indexed citations
20.
O’Conor, Christopher J., Sendhilnathan Ramalingam, Nicole A. Zelenski, et al.. (2016). Cartilage-Specific Knockout of the Mechanosensory Ion Channel TRPV4 Decreases Age-Related Osteoarthritis. Scientific Reports. 6(1). 29053–29053. 105 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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