Qing Chang

9.8k total citations · 1 hit paper
66 papers, 1.9k citations indexed

About

Qing Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Qing Chang has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 11 papers in Cancer Research. Recurrent topics in Qing Chang's work include Osteoarthritis Treatment and Mechanisms (9 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Spine and Intervertebral Disc Pathology (4 papers). Qing Chang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (9 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Spine and Intervertebral Disc Pathology (4 papers). Qing Chang collaborates with scholars based in China, United States and Hong Kong. Qing Chang's co-authors include Edward M. Barnett, Dustin J. Maxwell, David Piwnica‐Worms, Jacqueline Bromberg, Chen Wang, James W. Horner, Shan-Zheng Wang, Pingna Deng, Yanru Wang and Jun Lü and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Qing Chang

64 papers receiving 1.9k citations

Hit Papers

Effective combinatorial immunotherapy for castration-resi... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Chang China 24 733 540 415 329 309 66 1.9k
Cristina Colarossi Italy 26 1.1k 1.5× 604 1.1× 285 0.7× 374 1.1× 461 1.5× 80 2.3k
Francesco Marampon Italy 34 1.7k 2.3× 757 1.4× 229 0.6× 601 1.8× 523 1.7× 137 3.1k
Michael K.K. Wong United States 15 931 1.3× 567 1.1× 553 1.3× 173 0.5× 391 1.3× 25 2.1k
Hatem E. Sabaawy United States 21 828 1.1× 356 0.7× 156 0.4× 154 0.5× 228 0.7× 44 1.6k
Céline Charrier France 28 990 1.4× 783 1.4× 641 1.5× 396 1.2× 298 1.0× 66 2.4k
Arman Jahangiri United States 28 913 1.2× 390 0.7× 226 0.5× 270 0.8× 549 1.8× 66 2.8k
Elena Burova Russia 20 2.1k 2.8× 632 1.2× 357 0.9× 264 0.8× 500 1.6× 52 3.4k
Gero Brockhoff Germany 32 1.2k 1.7× 1.5k 2.8× 518 1.2× 302 0.9× 491 1.6× 113 3.5k
Devashish Kothapalli United States 19 1.5k 2.1× 195 0.4× 300 0.7× 195 0.6× 242 0.8× 23 2.5k
Yu Guo China 28 1.1k 1.5× 423 0.8× 335 0.8× 283 0.9× 636 2.1× 91 2.3k

Countries citing papers authored by Qing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Chang. A scholar is included among the top collaborators of Qing Chang 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 Qing Chang. Qing Chang 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.
Chang, Qing, Yaying Zhang, Xiaojun Liu, et al.. (2025). Oxidative Stress in Antigen Processing and Presentation. SHILAP Revista de lepidopterología. 4(2). 5 indexed citations
2.
Yang, Chun, Xinhua Chen, Jin Liu, et al.. (2025). Identification and Validation of Pivotal Genes in Osteoarthritis Combined with WGCNA Analysis. Journal of Inflammation Research. Volume 18. 1459–1470. 1 indexed citations
4.
Shi, Chunhua, Guojun Yang, Qing Shi, et al.. (2023). Preclinical development of 1B7/CD3, a novel anti-TSLPR bispecific antibody that targets CRLF2-rearranged Ph-like B-ALL. Leukemia. 37(10). 2006–2016. 6 indexed citations
5.
Liu, Qi, Qing Chang, Xiaohui Wang, et al.. (2023). Role of mitochondrial fusion proteins MFN2 and OPA1 on lung cellular senescence in chronic obstructive pulmonary disease. Respiratory Research. 24(1). 319–319. 25 indexed citations
6.
Mao, Ninghui, Zeda Zhang, Young Sun Lee, et al.. (2021). Defining the therapeutic selective dependencies for distinct subtypes of PI3K pathway-altered prostate cancers. Nature Communications. 12(1). 5053–5053. 18 indexed citations
7.
Zhu, Ming, Ruiqing Peng, Xin Liang, et al.. (2021). P4HA2-induced prolyl hydroxylation suppresses YAP1-mediated prostate cancer cell migration, invasion, and metastasis. Oncogene. 40(41). 6049–6056. 28 indexed citations
8.
Chang, Qing, et al.. (2020). Adipose‐derived mesenchymal stromal cells suppress osteoclastogenesis and bone erosion in collagen‐induced arthritis. Scandinavian Journal of Immunology. 92(2). e12877–e12877. 11 indexed citations
9.
Peerschke, Ellinor I.B., Elisa de Stanchina, Qing Chang, et al.. (2020). Anti gC1qR/p32/HABP1 Antibody Therapy Decreases Tumor Growth in an Orthotopic Murine Xenotransplant Model of Triple Negative Breast Cancer. SHILAP Revista de lepidopterología. 9(4). 51–51. 6 indexed citations
10.
Yeung, King Lun, et al.. (2019). Synthesis of nanostructured Ag@SiO2-Penicillin from high purity Ag NPs prepared by electromagnetic levitation melting process. Materials Science and Engineering C. 102. 616–622. 14 indexed citations
11.
Yao, Nan, Ke Ren, Qing Chang, et al.. (2019). Identification of potential crucial genes associated with vasculogenic mimicry in human osteosarcoma based on gene expression profile. Neoplasma. 67(2). 286–295. 9 indexed citations
12.
Chang, Qing, et al.. (2017). Treatment of multiple knee-ligament injury with calcaneal tendon allograft using arthroscopy. Biomedical Research-tokyo. 28(5). 2310–2314. 1 indexed citations
13.
Lü, Xin, Eun‐Jung Jin, Xi Cheng, et al.. (2017). Opposing roles of TGFβ and BMP signaling in prostate cancer development. Genes & Development. 31(23-24). 2337–2342. 29 indexed citations
14.
Ji, Ming-liang, Xuejun Zhang, Peiliang Shi, et al.. (2015). Downregulation of microRNA-193a-3p is involved in invertebral disc degeneration by targeting MMP14. Journal of Molecular Medicine. 94(4). 457–468. 51 indexed citations
15.
Li, Jinquan, Li Li, Hanqing Chen, et al.. (2014). Application of vitamin E to antagonize SWCNTs-induced exacerbation of allergic asthma. Scientific Reports. 4(1). 4275–4275. 38 indexed citations
16.
Chang, Qing, Laura Daly, & Jacqueline Bromberg. (2014). The IL-6 feed-forward loop: A driver of tumorigenesis. Seminars in Immunology. 26(1). 48–53. 84 indexed citations
17.
Chai, Ningli, et al.. (2013). [Differential proteomic analysis of rat hepatic stellate cells treated by oxymatrine liposomes using two-dimensional electrophoresis].. PubMed. 33(5). 679–85. 2 indexed citations
18.
Azare, Janeen, Ashley S. Doane, Kenneth Leslie, et al.. (2011). Stat3 Mediates Expression of Autotaxin in Breast Cancer. PLoS ONE. 6(11). e27851–e27851. 65 indexed citations
19.
Chang, Qing, et al.. (2011). Bipolar Hip Arthroplasty. The Journal of Arthroplasty. 26(8). 1455–1459. 6 indexed citations
20.
Yan, Xiaomei, et al.. (2000). [Antibacterial and antifungal effects of Agkistrodon halys Pallas: purification of its antibacterial protein--LAO].. PubMed. 33(4). 309–16. 6 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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