Ting-Fang Che

575 total citations
10 papers, 441 citations indexed

About

Ting-Fang Che is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Ting-Fang Che has authored 10 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Ting-Fang Che's work include Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (2 papers) and Barrier Structure and Function Studies (1 paper). Ting-Fang Che is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (2 papers) and Barrier Structure and Function Studies (1 paper). Ting-Fang Che collaborates with scholars based in Taiwan, United States and India. Ting-Fang Che's co-authors include Pan‐Chyr Yang, Yi-Ying Wu, Tse‐Ming Hong, Szu‐Hua Pan, Min‐Liang Kuo, Yih‐Leong Chang, Chen‐Tu Wu, Chung‐Wu Lin, Gee‐Chen Chang and Shuenn-Chen Yang and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Ting-Fang Che

10 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting-Fang Che Taiwan 6 286 125 112 83 67 10 441
Yi-Ying Wu Taiwan 8 384 1.3× 219 1.8× 179 1.6× 91 1.1× 86 1.3× 8 556
H Fensterer Germany 7 195 0.7× 136 1.1× 155 1.4× 205 2.5× 50 0.7× 9 462
Max Jacobsen United States 12 257 0.9× 85 0.7× 68 0.6× 31 0.4× 58 0.9× 21 412
Matthew Ashenden United Kingdom 4 224 0.8× 182 1.5× 87 0.8× 19 0.2× 42 0.6× 4 369
Laura Sourd France 7 146 0.5× 63 0.5× 114 1.0× 31 0.4× 77 1.1× 16 320
Mónica Vara‐Pérez Belgium 8 298 1.0× 150 1.2× 115 1.0× 68 0.8× 63 0.9× 10 551
Ladislav Tomes Canada 6 231 0.8× 137 1.1× 116 1.0× 66 0.8× 49 0.7× 6 375
Xuegang Guo China 13 699 2.4× 440 3.5× 122 1.1× 47 0.6× 35 0.5× 13 823
Sandra Bien-Möller Germany 12 235 0.8× 87 0.7× 108 1.0× 17 0.2× 36 0.5× 19 403
Sabrina J. Cai United States 3 323 1.1× 223 1.8× 66 0.6× 25 0.3× 86 1.3× 4 599

Countries citing papers authored by Ting-Fang Che

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Fang Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Fang Che. 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 Ting-Fang Che. The network helps show where Ting-Fang Che may publish in the future.

Co-authorship network of co-authors of Ting-Fang Che

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

All Works

10 of 10 papers shown
1.
Che, Ting-Fang, et al.. (2025). Application of CTC-derived spheroid for drug screening toward personalized treatment in patients with breast cancer. Translational Oncology. 63. 102573–102573. 1 indexed citations
2.
Che, Ting-Fang, Chao‐Hua Chiu, Yu‐Chung Wu, et al.. (2023). Proliferative ability of circulating tumor cells is a prognostic factor in Early-Stage lung adenocarcinoma. Lung Cancer. 178. 198–205. 4 indexed citations
3.
Yeh, Po-Ying, Jia-Yang Chen, Ting-Fang Che, et al.. (2023). Liposome-tethered supported lipid bilayer platform for capture and release of heterogeneous populations of circulating tumor cells. Journal of Materials Chemistry B. 11(34). 8159–8169. 3 indexed citations
4.
Che, Ting-Fang, et al.. (2022). The decline of circulating tumor cell clusters count for predicting the treatment response in breast cancer patients.. Journal of Clinical Oncology. 40(16_suppl). e13009–e13009. 2 indexed citations
5.
Chang, Jan‐Gowth, Yi-Ying Wu, Ting-Fang Che, et al.. (2016). Uncovering synthetic lethal interactions for therapeutic targets and predictive markers in lung adenocarcinoma. Oncotarget. 7(45). 73664–73680. 11 indexed citations
6.
Che, Ting-Fang, Ching-Wen Lin, Yi-Ying Wu, et al.. (2015). Mitochondrial translocation of EGFR regulates mitochondria dynamics and promotes metastasis in NSCLC. Oncotarget. 6(35). 37349–37366. 75 indexed citations
7.
Zhao, Ruiying, Heng-Yin Yang, Ji‐Hyun Shin, et al.. (2013). CDK inhibitor p57Kip2 is downregulated by Akt during HER2-mediated tumorigenicity. Cell Cycle. 12(6). 935–943. 31 indexed citations
8.
Pan, Szu‐Hua, Hsuan-Yu Chen, Yih‐Leong Chang, et al.. (2011). The ability of LCRMP-1 to promote cancer invasion by enhancing filopodia formation is antagonized by CRMP-1. Journal of Clinical Investigation. 121(8). 3189–3205. 63 indexed citations
9.
Pan, Szu‐Hua, Shuenn-Chen Yang, Sung‐Liang Yu, et al.. (2008). Claudin-1 Is a Metastasis Suppressor and Correlates with Clinical Outcome in Lung Adenocarcinoma. American Journal of Respiratory and Critical Care Medicine. 179(2). 123–133. 146 indexed citations
10.
Lin, Been‐Ren, Cheng‐Chi Chang, Ting-Fang Che, et al.. (2005). Connective tissue growth factor inhibits metastasis and acts as an independent prognostic marker in colorectal cancer. Gastroenterology. 128(1). 9–23. 105 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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