Chun‐I Wang

1.4k total citations
50 papers, 913 citations indexed

About

Chun‐I Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Chun‐I Wang has authored 50 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Oncology. Recurrent topics in Chun‐I Wang's work include RNA modifications and cancer (8 papers), Nuclear Structure and Function (7 papers) and Ubiquitin and proteasome pathways (6 papers). Chun‐I Wang is often cited by papers focused on RNA modifications and cancer (8 papers), Nuclear Structure and Function (7 papers) and Ubiquitin and proteasome pathways (6 papers). Chun‐I Wang collaborates with scholars based in Taiwan, United States and United Kingdom. Chun‐I Wang's co-authors include D. Adlersberg, Seymour R. Cohen, Chia‐Jung Yu, Yu‐Sun Chang, Chih‐Liang Wang, Jau‐Song Yu, Louis E. Schaefer, Kai‐Ping Chang, T. F. Gallagher and David K. Fukushima and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Chun‐I Wang

49 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐I Wang Taiwan 17 374 177 144 141 120 50 913
M. Correale Italy 19 278 0.7× 142 0.8× 113 0.8× 173 1.2× 113 0.9× 67 970
Tomonori Hada Japan 18 384 1.0× 166 0.9× 134 0.9× 76 0.5× 52 0.4× 55 1.1k
Michio Miyata Japan 19 292 0.8× 409 2.3× 142 1.0× 147 1.0× 94 0.8× 91 1.1k
Irina Buhăescu Romania 12 319 0.9× 184 1.0× 132 0.9× 86 0.6× 99 0.8× 18 838
Orazio Ruzzenente Italy 14 206 0.6× 186 1.1× 89 0.6× 78 0.6× 83 0.7× 24 818
Claudia Martelli Italy 15 241 0.6× 214 1.2× 142 1.0× 120 0.9× 73 0.6× 28 743
Mitsuhiro Ueno Japan 22 454 1.2× 285 1.6× 132 0.9× 70 0.5× 39 0.3× 73 1.4k
Jianwei Zhang China 18 184 0.5× 238 1.3× 192 1.3× 261 1.9× 87 0.7× 79 912
Haixia Li China 17 310 0.8× 103 0.6× 95 0.7× 85 0.6× 82 0.7× 51 866
Isaac Mizrahi United States 12 287 0.8× 154 0.9× 706 4.9× 243 1.7× 162 1.4× 22 1.2k

Countries citing papers authored by Chun‐I Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐I Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐I Wang. 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 Chun‐I Wang. The network helps show where Chun‐I Wang may publish in the future.

Co-authorship network of co-authors of Chun‐I Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐I Wang. A scholar is included among the top collaborators of Chun‐I Wang 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 Chun‐I Wang. Chun‐I Wang 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.
Wang, Chun‐I, et al.. (2025). PSMA2 promotes chemo- and radioresistance of oral squamous cell carcinoma by modulating mitophagy pathway. Cell Death Discovery. 11(1). 2–2. 2 indexed citations
2.
3.
Hsieh, Ching‐Chuan, Yili Chen, Chun‐I Wang, et al.. (2024). SERPING1 Reduces Cell Migration via ERK‐MMP2‐MMP‐9 Cascade in Sorafenib‐ Resistant Hepatocellular Carcinoma. Environmental Toxicology. 40(2). 318–327. 2 indexed citations
4.
Tsai, Hung‐Wen, Yili Chen, Chun‐I Wang, et al.. (2023). Anterior gradient 2 induces resistance to sorafenib via endoplasmic reticulum stress regulation in hepatocellular carcinoma. Cancer Cell International. 23(1). 42–42. 11 indexed citations
5.
Tsai, Hung‐Wen, Yili Chen, Chun‐I Wang, et al.. (2023). Cisplatin or Doxorubicin Reduces Cell Viability via the PTPIVA3-JAK2-STAT3 Cascade in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 10. 123–138. 3 indexed citations
6.
Yen, Wei‐Chen, Kai‐Ping Chang, Cheng‐Yi Chen, et al.. (2023). MFI2 upregulation promotes malignant progression through EGF/FAK signaling in oral cavity squamous cell carcinoma. Cancer Cell International. 23(1). 112–112. 1 indexed citations
7.
Yen, Wei‐Chen, Ian Yi‐Feng Chang, Kai‐Ping Chang, et al.. (2022). Genomic and Molecular Signatures of Successful Patient-Derived Xenografts for Oral Cavity Squamous Cell Carcinoma. Frontiers in Oncology. 12. 792297–792297. 5 indexed citations
8.
Hiles, Guadalupe Lorenzatti, Kai‐Ping Chang, Emily L. Bellile, et al.. (2021). Understanding the impact of high-risk human papillomavirus on oropharyngeal squamous cell carcinomas in Taiwan: A retrospective cohort study. PLoS ONE. 16(4). e0250530–e0250530. 13 indexed citations
9.
Wang, Chun‐I, et al.. (2021). Chemotherapeutic Drug-Regulated Cytokines Might Influence Therapeutic Efficacy in HCC. International Journal of Molecular Sciences. 22(24). 13627–13627. 25 indexed citations
10.
11.
Liao, Wei‐Chao, Yu‐Chin Liu, Yushan Wei, et al.. (2021). Nuclear accumulation of KPNA2 impacts radioresistance through positive regulation of the PLSCR1‐STAT1 loop in lung adenocarcinoma. Cancer Science. 113(1). 205–220. 11 indexed citations
12.
Yang, Chia‐Yu, Ian Yi‐Feng Chang, Chun‐Nan OuYang, et al.. (2020). Cotargeting CHK1 and PI3K Synergistically Suppresses Tumor Growth of Oral Cavity Squamous Cell Carcinoma in Patient-Derived Xenografts. Cancers. 12(7). 1726–1726. 17 indexed citations
13.
Tsai, Chi‐Neu, Chia-Lung Tsai, Huang‐Kai Kao, et al.. (2019). Activin A regulates the epidermal growth factor receptor promoter by activating the PI3K/SP1 pathway in oral squamous cell carcinoma cells. Scientific Reports. 9(1). 5197–5197. 17 indexed citations
14.
Huang, Yi‐Ching, et al.. (2013). Leveraging Persuasive Feedback Mechanism for Problem Solving.. National Conference on Artificial Intelligence. 1 indexed citations
15.
Yu, Chia‐Jung, Chun‐I Wang, Kun‐Yi Chien, et al.. (2013). Quantitative proteomics reveals regulation of KPNA2 and its potential novel cargo proteins in non‐small cell lung cancer. The FASEB Journal. 27(S1). 3 indexed citations
16.
Yu, Chia‐Jung, Chih‐Liang Wang, Chun‐I Wang, et al.. (2011). Comprehensive Proteome Analysis of Malignant Pleural Effusion for Lung Cancer Biomarker Discovery by Using Multidimensional Protein Identification Technology. Journal of Proteome Research. 10(10). 4671–4682. 49 indexed citations
17.
Marcus, Carole L., et al.. (1992). Supplemental Oxygen and Exercise Performance in Patients with Cystic Fibrosis with Severe Pulmonary Disease. CHEST Journal. 101(1). 52–57. 43 indexed citations
18.
Church, Joseph A., et al.. (1979). Normal neutrophil and monocyte chemotaxis in patients with cystic fibrosis. The Journal of Pediatrics. 95(2). 265–268. 10 indexed citations
19.
Wang, Chun‐I. (1970). Inguinal Hernia, Hydrocele, and Other Genitourinary Abnormalities. American journal of diseases of children. 119(3). 236–236. 9 indexed citations
20.
Adlersberg, D., et al.. (1956). Serum Lipids and Polysaccharides in Diabetes Mellitus. Diabetes. 5(2). 116–120. 33 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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