Chang‐Han Chen

876 total citations
37 papers, 640 citations indexed

About

Chang‐Han Chen is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chang‐Han Chen has authored 37 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chang‐Han Chen's work include Head and Neck Cancer Studies (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Bone and Dental Protein Studies (4 papers). Chang‐Han Chen is often cited by papers focused on Head and Neck Cancer Studies (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Bone and Dental Protein Studies (4 papers). Chang‐Han Chen collaborates with scholars based in Taiwan, China and United States. Chang‐Han Chen's co-authors include Chih‐Yen Chien, Shau-Hsuan Li, Hsin‐Ting Tsai, Tai‐Jan Chiu, Wan‐Ting Huang, Fu‐Min Fang, Hui‐Ching Chuang, Hung‐I Lu, Chao‐Cheng Huang and Angelo D’Alessandro and has published in prestigious journals such as Blood, PLoS ONE and Circulation Research.

In The Last Decade

Chang‐Han Chen

35 papers receiving 633 citations

Peers

Chang‐Han Chen

ONCOL

SURGE

PRM

Małgorzata Kapral Poland

Weilong Hong China

Yinghong Zhu China

Binu K. Philip United States

K Hay Canada

Huei-Jyh Fahn Taiwan

Zilu Chen China

Małgorzata Kapral Poland

Chang‐Han Chen

223 ×0.7

68 ×0.5

ONCOL

68 ×0.6

SURGE

82 ×0.8

40 ×0.4

PRM

Citations per year, relative to Chang‐Han Chen Chang‐Han Chen (= 1×) peers Małgorzata Kapral

Countries citing papers authored by Chang‐Han Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chang‐Han Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Han Chen

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

All Works

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20 of 20 papers shown

Chen, Chang‐Han, Weiping Liu, Zhixiang Zhao, et al.. (2025). Longevity Humans Have Youthful Erythrocyte Function and Metabolic Signatures. Aging Cell. 24(5). e14482–e14482. 5 indexed citations

Chen, Chang‐Han, et al.. (2025). Areca catechu L. Extract Inhibits Colorectal Cancer Tumor Growth by Modulating Cell Apoptosis and Autophagy. Current Issues in Molecular Biology. 47(2). 128–128. 1 indexed citations

Chen, Chang‐Han, Weiping Liu, & Yang Xia. (2024). Gene-metabolite linkage marks stored red blood cell quality. Cell Metabolism. 36(9). 1905–1907. 1 indexed citations

Xie, Tingting, Chang‐Han Chen, Benjamin C. Brown, et al.. (2023). Beneficial Role of Erythrocyte Sphingosine 1-Phosphate in Preventing Renal Macrophage Polarization and Fibrosis through Combating HIF-1α-Dependent Creatine Phosphate Shuttle. Blood. 142(Supplement 1). 3918–3918. 1 indexed citations

Lin, Hui‐Wen, Pengyu Chen, Tzu‐Chun Chen, et al.. (2022). Particulate matter 2.5 exposure induces epithelial-mesenchymal transition via PI3K/AKT/mTOR pathway in human retinal pigment epithelial ARPE-19 cells. Biochemical and Biophysical Research Communications. 617(Pt 2). 11–17. 10 indexed citations

Xu, Ping, Chang‐Han Chen, Yujin Zhang, et al.. (2022). Erythrocyte transglutaminase-2 combats hypoxia and chronic kidney disease by promoting oxygen delivery and carnitine homeostasis. Cell Metabolism. 34(2). 299–316.e6. 44 indexed citations

Zhu, Gangcai, Chang‐Han Chen, Siyuan Zheng, et al.. (2021). A characterization and prognosis prediction model for primary squamous cell carcinoma of the thyroid. Gland Surgery. 10(4). 1325–1338. 3 indexed citations

Li, Zhexuan, Chang‐Han Chen, Juncheng Wang, et al.. (2021). Overexpressed PLAU and its potential prognostic value in head and neck squamous cell carcinoma. PeerJ. 9. e10746–e10746. 31 indexed citations

Sun, Hong, Yujin Zhang, Anren Song, et al.. (2021). Erythrocyte adenosine A2B receptor prevents cognitive and auditory dysfunction by promoting hypoxic and metabolic reprogramming. PLoS Biology. 19(6). e3001239–e3001239. 19 indexed citations

10.

Yang, Weixiong, Chang‐Han Chen, Minghan Jia, et al.. (2021). Tumor-Associated Microbiota in Esophageal Squamous Cell Carcinoma. Frontiers in Cell and Developmental Biology. 9. 641270–641270. 43 indexed citations

11.

Sayama, Seisuke, Anren Song, Benjamin C. Brown, et al.. (2020). Maternal erythrocyte ENT1–mediated AMPK activation counteracts placental hypoxia and supports fetal growth. JCI Insight. 5(10). 14 indexed citations

12.

Li, Shau-Hsuan, Hung‐I Lu, Yen‐Hao Chen, et al.. (2019). JMJD3 expression is an independent prognosticator in patients with esophageal squamous cell carcinoma. Surgery. 165(5). 946–952. 13 indexed citations

13.

Ma, Ming‐Chun, Tai‐Jan Chiu, Hung‐I Lu, et al.. (2018). SIRT1 overexpression is an independent prognosticator for patients with esophageal squamous cell carcinoma. Journal of Cardiothoracic Surgery. 13(1). 25–25. 24 indexed citations

14.

Tsai, Ching‐Yi, et al.. (2017). Anomalous baroreflex functionality inherent in floxed and Cre-Lox mice: an overlooked physiological phenotype. American Journal of Physiology-Heart and Circulatory Physiology. 313(4). H700–H707. 5 indexed citations

15.

Li, Shau-Hsuan, Chih‐Yen Chien, Wan‐Ting Huang, et al.. (2017). Prognostic significance and function of mammalian target of rapamycin in tongue squamous cell carcinoma. Scientific Reports. 7(1). 8178–8178. 13 indexed citations

16.

Zhu, Gangcai, Li She, Ming Wei, et al.. (2017). Elevated expression of Derlin-1 associates with unfavorable survival time of squamous cell carcinoma of the head and neck and promotes its malignance. Journal of Cancer. 8(12). 2336–2345. 9 indexed citations

17.

You, Huey‐Ling, et al.. (2017). Simultaneous detection of respiratory syncytial virus and human metapneumovirus by one-step multiplex real-time RT-PCR in patients with respiratory symptoms. BMC Pediatrics. 17(1). 89–89. 23 indexed citations

18.

Chiu, Tai‐Jan, et al.. (2011). High ERCC1 expression predicts cisplatin-based chemotherapy resistance and poor outcome in unresectable squamous cell carcinoma of head and neck in a betel-chewing area. Journal of Translational Medicine. 9(1). 31–31. 43 indexed citations

19.

Chuang, Hui‐Ching, Fu‐Min Fang, Chao‐Cheng Huang, et al.. (2011). Clinical and pathological determinants in tonsillar cancer. Head & Neck. 33(12). 1703–1707. 5 indexed citations

20.

Chien, Chih‐Yen, Chih‐Ying Su, Hui‐Ching Chuang, et al.. (2008). Clinical significance of osteopontin expression in T1 and T2 tongue cancers. Head & Neck. 30(6). 776–781. 20 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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