Haocai Chang

2.6k total citations · 2 hit papers
21 papers, 1.9k citations indexed

About

Haocai Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Haocai Chang has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Haocai Chang's work include Laser Applications in Dentistry and Medicine (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Haocai Chang is often cited by papers focused on Laser Applications in Dentistry and Medicine (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Haocai Chang collaborates with scholars based in China. Haocai Chang's co-authors include Zhengzhi Zou, Yucen Song, Longlong Gong, Wei Du, Yibing Chen, Songmao Wang, Haolong Li, Da Xing, Qi Shen and Zhan Zhang and has published in prestigious journals such as Oncogene, Free Radical Biology and Medicine and Frontiers in Immunology.

In The Last Decade

Haocai Chang

21 papers receiving 1.9k citations

Hit Papers

Tumor-associated macrophages: an accomplice in solid tumo... 2017 2026 2020 2023 2019 2017 250 500 750
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.

  1. Tumor-associated macrophages: an accomplice in solid tumor progression
    2019 802 citations Yibing Chen, Yucen Song et al. Journal of Biomedical Science profile →
  2. Induction of reactive oxygen species: an emerging approach for cancer therapy
    2017 483 citations Zhengzhi Zou, Haocai Chang et al. APOPTOSIS profile →

Peers

Haocai Chang
Xiaoyan Xin China
Guangfu Li United States
Yingqi Zhang China
Ketao Jin China
Célia Gomes Portugal
Xiaochun Peng China
Yifeng Xia China
Jiadi Lv China
Yingying Shen China
Yue Wu China
Xiaoyan Xin China
Haocai Chang
Citations per year, relative to Haocai Chang Haocai Chang (= 1×) peers Xiaoyan Xin

Countries citing papers authored by Haocai Chang

Since Specialization
Citations

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

Fields of papers citing papers by Haocai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haocai Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Haocai Chang. A scholar is included among the top collaborators of Haocai 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 Haocai Chang. Haocai 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.
Tong, Jing, et al.. (2025). Targeting immune checkpoints in hepatocellular carcinoma therapy: toward combination strategies with curative potential. Experimental Hematology and Oncology. 14(1). 65–65. 3 indexed citations
2.
Chang, Haocai, et al.. (2025). 红光光疗调控内源性TGFβ/AKT信号介导的真皮-表皮结构重塑机制研究. 动物学研究. 46(5). 967–982. 1 indexed citations
3.
Chang, Haocai, et al.. (2024). Hair Follicle Stem Cells: the Signaling Hub of the Skin. 6(1). 7–14. 1 indexed citations
4.
Chen, Yibing, Yuan Liao, Ting Huang, et al.. (2024). Photobiomodulation therapy moderates cancer cachexia-associated muscle wasting through activating PI3K/AKT/FoxO3a pathway. APOPTOSIS. 29(5-6). 663–680. 1 indexed citations
5.
Ma, Yunhan, et al.. (2024). Emerging strategies for treating autoimmune disease with genetically modified dendritic cells. Cell Communication and Signaling. 22(1). 262–262. 2 indexed citations
6.
Zhang, Zhan, Qi Shen, & Haocai Chang. (2022). Vaccines for COVID-19: A Systematic Review of Immunogenicity, Current Development, and Future Prospects. Frontiers in Immunology. 13. 843928–843928. 43 indexed citations
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Chang, Haocai, Zhengzhi Zou, Jie Li, et al.. (2021). Photoactivation of mitochondrial reactive oxygen species-mediated Src and protein kinase C pathway enhances MHC class II-restricted T cell immunity to tumours. Cancer Letters. 523. 57–71. 14 indexed citations
10.
Shen, Qi, et al.. (2021). COVID-19: systemic pathology and its implications for therapy. International Journal of Biological Sciences. 18(1). 386–408. 27 indexed citations
11.
Wang, Qiuhong, Haocai Chang, Qi Shen, Yonghua Li, & Da Xing. (2021). Photobiomodulation therapy for thrombocytopenia by upregulating thrombopoietin expression via the ROS‐dependent Src/ERK/STAT3 signaling pathway. Journal of Thrombosis and Haemostasis. 19(8). 2029–2043. 12 indexed citations
12.
Chang, Haocai, et al.. (2021). Photobiomodulation therapy promotes the ATP‐binding cassette transporter A1‐dependent cholesterol efflux in macrophage to ameliorate atherosclerosis. Journal of Cellular and Molecular Medicine. 25(11). 5238–5249. 10 indexed citations
13.
Chang, Haocai & Zhengzhi Zou. (2020). Targeting autophagy to overcome drug resistance: further developments. Journal of Hematology & Oncology. 13(1). 159–159. 168 indexed citations
14.
Qin, Huan, Li Liu, Haocai Chang, et al.. (2020). Photoacoustic-immune therapy with a multi-purpose black phosphorus-based nanoparticle. Nano Research. 13(12). 3403–3415. 23 indexed citations
15.
Chen, Yibing, Yucen Song, Wei Du, et al.. (2019). Tumor-associated macrophages: an accomplice in solid tumor progression. Journal of Biomedical Science. 26(1). 78–78. 802 indexed citations breakdown →
16.
Li, Haolong, Lei Liu, Haocai Chang, Zhengzhi Zou, & Da Xing. (2018). Downregulation of MCL-1 and upregulation of PUMA using mTOR inhibitors enhance antitumor efficacy of BH3 mimetics in triple-negative breast cancer. Cell Death and Disease. 9(2). 137–137. 30 indexed citations
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Luo, Xiaoyong, Peipei Nie, Baoyan Wu, et al.. (2017). CQ synergistically sensitizes human colorectal cancer cells to SN-38/CPT-11 through lysosomal and mitochondrial apoptotic pathway via p53-ROS cross-talk. Free Radical Biology and Medicine. 104. 280–297. 70 indexed citations
19.
Zou, Zhengzhi, Haocai Chang, Haolong Li, & Songmao Wang. (2017). Induction of reactive oxygen species: an emerging approach for cancer therapy. APOPTOSIS. 22(11). 1321–1335. 483 indexed citations breakdown →
20.
Ao, Xiang, Peipei Nie, Baoyan Wu, et al.. (2016). Decreased expression of microRNA-17 and microRNA-20b promotes breast cancer resistance to taxol therapy by upregulation of NCOA3. Cell Death and Disease. 7(11). e2463–e2463. 58 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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