Hong‐Lin Chan

2.9k total citations
103 papers, 2.3k citations indexed

About

Hong‐Lin Chan is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Hong‐Lin Chan has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 16 papers in Oncology and 12 papers in Spectroscopy. Recurrent topics in Hong‐Lin Chan's work include Advanced Proteomics Techniques and Applications (12 papers), Redox biology and oxidative stress (9 papers) and Glutathione Transferases and Polymorphisms (6 papers). Hong‐Lin Chan is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), Redox biology and oxidative stress (9 papers) and Glutathione Transferases and Polymorphisms (6 papers). Hong‐Lin Chan collaborates with scholars based in Taiwan, United Kingdom and Ghana. Hong‐Lin Chan's co-authors include Hsiu‐Chuan Chou, Szu‐Ting Lin, Chih‐Kuang Yeh, Ching‐Hsiang Fan, John F. Timms, Yiwen Chen, Ping‐Chiang Lyu, En‐Chi Liao, Ying‐Ray Lee and Kuo‐Chen Wei and has published in prestigious journals such as Nature Communications, Nano Letters and PLoS ONE.

In The Last Decade

Hong‐Lin Chan

100 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Lin Chan Taiwan 30 1.1k 343 292 290 183 103 2.3k
Akiko Kubo Japan 32 1.3k 1.2× 553 1.6× 284 1.0× 317 1.1× 174 1.0× 109 3.5k
Katsuhiko Ono Japan 30 1.4k 1.2× 228 0.7× 342 1.2× 229 0.8× 116 0.6× 103 3.4k
Jing Jin China 33 2.1k 1.8× 181 0.5× 627 2.1× 157 0.5× 259 1.4× 135 3.9k
Yingjie Xu China 26 1.7k 1.5× 231 0.7× 312 1.1× 395 1.4× 183 1.0× 92 2.8k
Alexei G. Basnakian United States 31 1.5k 1.3× 266 0.8× 235 0.8× 221 0.8× 113 0.6× 80 3.1k
Yi Zhu China 38 1.9k 1.6× 383 1.1× 778 2.7× 1.0k 3.5× 119 0.7× 144 3.6k
Shiyong Wu United States 30 2.2k 2.0× 215 0.6× 434 1.5× 989 3.4× 407 2.2× 106 3.6k
Javier Camacho Mexico 28 1.3k 1.1× 159 0.5× 250 0.9× 266 0.9× 75 0.4× 92 2.3k

Countries citing papers authored by Hong‐Lin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Lin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Lin Chan. 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 Hong‐Lin Chan. The network helps show where Hong‐Lin Chan may publish in the future.

Co-authorship network of co-authors of Hong‐Lin Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Lin Chan. A scholar is included among the top collaborators of Hong‐Lin Chan 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 Hong‐Lin Chan. Hong‐Lin Chan 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.
Wen, Yue, et al.. (2025). The correlation of immunotoxicity with size and chemical properties of particulate matter within macrophages. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 295. 110215–110215.
2.
Chen, Hsin‐Yi, Mei‐Lan Ko, & Hong‐Lin Chan. (2023). Effects of hyperglycemia on the TGF-β pathway in trabecular meshwork cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1868(2). 130538–130538. 1 indexed citations
3.
Chou, Hsiu‐Chuan, et al.. (2021). Role of IGFBP-2 in oral cancer metastasis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(7). 166143–166143. 8 indexed citations
4.
Tung, Chun‐Liang, Meng‐Wei Lin, En‐Chi Liao, et al.. (2020). Proteomic Analysis of Metastasis-Specific Biomarkers in Pancreatic Cancer: Galectin-1 Plays an Important Metastatic Role in Pancreatic Cancer. Journal of Pharmaceutical and Biomedical Analysis. 186. 113300–113300. 8 indexed citations
5.
Kuo, Wen‐Hung, et al.. (2018). Transketolase Regulates the Metabolic Switch to Control Breast Cancer Cell Metastasis via the α-Ketoglutarate Signaling Pathway. Cancer Research. 78(11). 2799–2812. 105 indexed citations
6.
Yang, Cheng‐San, Yushan Wei, Shing‐Jyh Chang, et al.. (2017). Proteomic analysis of prognostic plasma biomarkers in peripheral arterial occlusive disease. Molecular BioSystems. 13(7). 1297–1303. 4 indexed citations
7.
Lin, Chi‐Chen, et al.. (2014). Proteomic analysis of rhein-induced cyt: ER stress mediates cell death in breast cancer cells. Molecular BioSystems. 10(12). 3086–3100. 6 indexed citations
8.
Chung, Ting, Hong‐Lin Chan, Ming-Derg Lai, et al.. (2014). Induction of Indoleamine 2,3-dioxygenase (IDO) Enzymatic Activity Contributes to Interferon-Gamma Induced Apoptosis and Death Receptor 5 Expression in Human Non-small Cell Lung Cancer Cells. Asian Pacific Journal of Cancer Prevention. 15(18). 7995–8001. 13 indexed citations
9.
Lin, Szu‐Ting, Hsiu‐Chuan Chou, Yiwen Chen, & Hong‐Lin Chan. (2012). Redox-proteomic analysis of doxorubicin-induced altered thiol activity in cardiomyocytes. Molecular BioSystems. 9(3). 447–456. 14 indexed citations
10.
Chen, Jingyi, et al.. (2012). High glucose-induced proteome alterations in retinal pigmented epithelium cells and its possible relevance to diabetic retinopathy. Molecular BioSystems. 8(12). 3107–3124. 14 indexed citations
11.
Chen, Chih‐Ping, Schu‐Rern Chern, Shing‐Jyh Chang, et al.. (2012). Placenta proteome analysis from Down syndrome pregnancies for biomarker discovery. Molecular BioSystems. 8(9). 2360–2372. 9 indexed citations
12.
Lee, Ying‐Ray, et al.. (2012). Redox- and expression-proteomic analysis of plasma biomarkers in bladder transitional cell carcinoma. Molecular BioSystems. 8(12). 3314–3324. 11 indexed citations
13.
Lee, Chi‐Ching, et al.. (2012). Proteome reference map of Drosophila melanogaster head. PROTEOMICS. 12(11). 1875–1878. 2 indexed citations
14.
Lee, Hsiao‐Yun, et al.. (2012). Proteomic analysis of a drosophila IBMPFD model reveals potential pathogenic mechanisms. Molecular BioSystems. 8(6). 1730–1741. 5 indexed citations
15.
Tung, Chun‐Liang, Szu‐Ting Lin, Hsiu‐Chuan Chou, et al.. (2012). Proteomics-based identification of plasma biomarkers in oral squamous cell carcinoma. Journal of Pharmaceutical and Biomedical Analysis. 75. 7–17. 39 indexed citations
16.
17.
Chen, Yiwen, Wen‐Hsin Liu, Hsiu‐Chuan Chou, et al.. (2011). Proteomic identification of plasma biomarkers in uterine leiomyoma. Molecular BioSystems. 8(4). 1136–1145. 32 indexed citations
18.
Chen, Yiwen, Szu‐Ting Lin, Jimin Li, et al.. (2011). Proteomic analysis of gemcitabine-induced drug resistance in pancreatic cancer cells. Molecular BioSystems. 7(11). 3065–3074. 37 indexed citations
19.
Hung, Peir‐Haur, Yi-Wen Chen, Hsiu‐Chuan Chou, et al.. (2011). Plasma proteomic analysis of the critical limb ischemia markers in diabetic patients with hemodialysis. Molecular BioSystems. 7(6). 1990–1998. 41 indexed citations
20.
Lai, Chih‐Ho, Nai-Wen Chang, Chia-Der Lin, et al.. (2010). Proteomics-based identification of haptoglobin as a novel plasma biomarker in oral squamous cell carcinoma. Clinica Chimica Acta. 411(13-14). 984–991. 32 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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