Ian Yi‐Feng Chang

1.3k total citations
43 papers, 685 citations indexed

About

Ian Yi‐Feng Chang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ian Yi‐Feng Chang has authored 43 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Ian Yi‐Feng Chang's work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Ian Yi‐Feng Chang is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Ian Yi‐Feng Chang collaborates with scholars based in Taiwan, United States and United Kingdom. Ian Yi‐Feng Chang's co-authors include Kai‐Ping Chang, Bertrand Chin‐Ming Tan, Po-Jung Huang, Hsuan Liu, Chi‐Ching Lee, Chih‐Ching Wu, Hao‐Ping Liu, Yi‐Ting Chen, Chia‐Wei Hsu and Wei‐Chao Liao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Ian Yi‐Feng Chang

40 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Yi‐Feng Chang Taiwan 16 391 156 92 73 69 43 685
Kouhei Sakai Japan 12 341 0.9× 84 0.5× 71 0.8× 119 1.6× 325 4.7× 19 685
Endre N. Vasstrand Norway 17 368 0.9× 100 0.6× 59 0.6× 87 1.2× 167 2.4× 32 725
Matthew McConnell United States 13 491 1.3× 73 0.5× 281 3.1× 103 1.4× 117 1.7× 21 890
Yilong Zhou China 14 296 0.8× 122 0.8× 130 1.4× 187 2.6× 87 1.3× 26 656
Nienke Kettelarij Netherlands 6 431 1.1× 113 0.7× 98 1.1× 51 0.7× 126 1.8× 7 747
Chen-Hsin Albert Yu Taiwan 11 222 0.6× 127 0.8× 166 1.8× 57 0.8× 50 0.7× 25 543
Farhad Babaie Iran 16 275 0.7× 95 0.6× 51 0.6× 367 5.0× 166 2.4× 35 740
Runzi Qi China 7 324 0.8× 164 1.1× 64 0.7× 373 5.1× 120 1.7× 9 761
Sarah A. Mazzilli United States 10 518 1.3× 181 1.2× 65 0.7× 271 3.7× 365 5.3× 26 1.1k

Countries citing papers authored by Ian Yi‐Feng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ian Yi‐Feng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Yi‐Feng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Yi‐Feng Chang. A scholar is included among the top collaborators of Ian Yi‐Feng 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 Ian Yi‐Feng Chang. Ian Yi‐Feng 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.
Tseng, Yen-Han, Jinghua Tsai Chang, Ian Yi‐Feng Chang, et al.. (2025). Utilizing TP53 hotspot mutations as effective predictors of gemcitabine treatment outcome in non-small-cell lung cancer. Cell Death Discovery. 11(1). 26–26. 2 indexed citations
2.
Liao, Wei‐Chao, Shiao-Wen Li, Sung-Han Hsiao, et al.. (2025). Respiratory microbiome and metabolome features associate disease severity and the need for doxycycline treatment in children with macrolide-resistant Mycoplasma pneumoniae-mediated pneumonia. Frontiers in Cellular and Infection Microbiology. 15. 1537182–1537182.
3.
Tsai, Hui‐Ju, Huiwen Chen, Ian Yi‐Feng Chang, et al.. (2024). Noncanonical formation of SNX5 gene-derived circular RNA regulates cancer growth. Cell Death and Disease. 15(8). 599–599. 1 indexed citations
4.
Huang, Shih‐Chiang, Ian Yi‐Feng Chang, Chee‐Jen Chang, et al.. (2023). Association between hepatic angiosarcoma and end‐stage renal disease: nationwide population‐based evidence and enriched mutational signature of aristolochic acid exposure. The Journal of Pathology. 260(2). 165–176. 3 indexed citations
5.
Chen, Chia‐Chun, Ian Yi‐Feng Chang, Yu‐Sun Chang, et al.. (2023). Symptom-correlated MiRNA signature as a potential biomarker for Kawasaki disease. Biomedical Journal. 47(5). 100684–100684. 3 indexed citations
6.
Liu, Hsuan, Yuhao Liu, Chih‐Ching Wu, et al.. (2022). Modular scaffolding by lncRNA HOXA10-AS promotes oral cancer progression. Cell Death and Disease. 13(7). 629–629. 12 indexed citations
7.
Tsai, Jen‐Wei, Jen‐Chieh Lee, Tsung‐Han Hsieh, et al.. (2022). Adult NTRK-rearranged spindle cell neoplasms of the viscera: with an emphasis on rare locations and heterologous elements. Modern Pathology. 35(7). 911–921. 23 indexed citations
8.
9.
Hsieh, Yu‐Chia, Yiyin Chen, Ian Yi‐Feng Chang, et al.. (2021). Global Genome Diversity and Recombination in Mycoplasma pneumoniae. Emerging infectious diseases. 28(1). 111–117. 13 indexed citations
10.
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
11.
Huang, Shih‐Chiang, Kwai‐Fong Ng, Ian Yi‐Feng Chang, et al.. (2021). The clinicopathological significance of SWI/SNF alterations in gastric cancer is associated with the molecular subtypes. PLoS ONE. 16(1). e0245356–e0245356. 23 indexed citations
12.
Lin, Wei-Cheng, Kuang-Jing Huang, Ian Yi‐Feng Chang, et al.. (2020). SNAP29 mediates the assembly of histidine-induced CTP synthase filaments in proximity to the cytokeratin network. Journal of Cell Science. 133(9). 10 indexed citations
13.
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
14.
Chang, Ya‐Ting, Lichieh Julie Chu, Yen‐Chun Liu, et al.. (2020). Verification of Saliva Matrix Metalloproteinase-1 as a Strong Diagnostic Marker of Oral Cavity Cancer. Cancers. 12(8). 2273–2273. 34 indexed citations
15.
Chang, Ian Yi‐Feng, Yuhao Liu, Hsuan Liu, et al.. (2020). circRNAome Profiling in Oral Carcinoma Unveils a Novel circFLNB that Mediates Tumour Growth-Regulating Transcriptional Response. Cells. 9(8). 1868–1868. 2 indexed citations
16.
Chen, Yi‐Yin, Wei‐Chao Liao, Shiao-Wen Li, et al.. (2020). Clonal spread of macrolide-resistant Mycoplasma pneumoniae sequence type-3 and type-17 with recombination on non-P1 adhesin among children in Taiwan. Clinical Microbiology and Infection. 27(8). 1169.e1–1169.e6. 32 indexed citations
17.
Chang, Kai‐Ping, Chia‐Wei Hsu, Ian Yi‐Feng Chang, et al.. (2019). Identification of Salivary Biomarkers for Oral Cancer Detection with Untargeted and Targeted Quantitative Proteomics Approaches. Molecular & Cellular Proteomics. 18(9). 1796–1806. 67 indexed citations
18.
Chen, Ting-Wen, Kun‐Yi Chien, Wei‐Chao Liao, et al.. (2017). FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation. Scientific Reports. 7(1). 28 indexed citations
19.
Chen, Ting-Wen, Chi‐Ching Lee, Po-Jung Huang, et al.. (2014). ChIPseek, a web-based analysis tool for ChIP data. BMC Genomics. 15(1). 539–539. 54 indexed citations
20.

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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