Che‐Fang Hsu

844 total citations · 1 hit paper
20 papers, 609 citations indexed

About

Che‐Fang Hsu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Che‐Fang Hsu has authored 20 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Reproductive Medicine, 8 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Che‐Fang Hsu's work include Ovarian cancer diagnosis and treatment (9 papers), Reproductive Biology and Fertility (8 papers) and Ovarian function and disorders (4 papers). Che‐Fang Hsu is often cited by papers focused on Ovarian cancer diagnosis and treatment (9 papers), Reproductive Biology and Fertility (8 papers) and Ovarian function and disorders (4 papers). Che‐Fang Hsu collaborates with scholars based in Taiwan, China and United States. Che‐Fang Hsu's co-authors include Shian‐Ren Lin, Henrich Cheng, Ping‐Jyun Sung, Max K. Leong, Jian‐Chyi Chen, Ching‐Feng Weng, Tang‐Yuan Chu, Dah‐Ching Ding, Hsuan-Shun Huang and Shih‐Yen Lo and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Che‐Fang Hsu

20 papers receiving 597 citations

Hit Papers

Natural compounds as pote... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence
    2019 304 citations Shian‐Ren Lin, Che‐Fang Hsu et al. British Journal of Pharmacology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Che‐Fang Hsu Taiwan 9 228 148 101 77 67 20 609
Shaomi Zhu China 14 370 1.6× 82 0.6× 68 0.7× 83 1.1× 112 1.7× 27 687
Ata Abbas United States 15 479 2.1× 85 0.6× 101 1.0× 115 1.5× 184 2.7× 30 787
Dongyan Li China 17 244 1.1× 73 0.5× 77 0.8× 32 0.4× 34 0.5× 61 712
Fred Wamunyokoli Kenya 13 240 1.1× 32 0.2× 62 0.6× 127 1.6× 105 1.6× 37 856
Kazuto ISUZUGAWA Japan 13 286 1.3× 39 0.3× 43 0.4× 35 0.5× 182 2.7× 16 668
Jianyuan Li China 13 268 1.2× 119 0.8× 76 0.8× 27 0.4× 62 0.9× 29 753
Yaser Gamallat China 15 496 2.2× 20 0.1× 39 0.4× 87 1.1× 41 0.6× 34 765
Xiaoli Yang China 8 378 1.7× 59 0.4× 29 0.3× 32 0.4× 56 0.8× 10 588
Ali Ahmadi Iran 13 184 0.8× 23 0.2× 29 0.3× 32 0.4× 54 0.8× 23 477
Baixue Li China 11 242 1.1× 27 0.2× 22 0.2× 28 0.4× 42 0.6× 30 455

Countries citing papers authored by Che‐Fang Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Fang Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che‐Fang Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Che‐Fang Hsu. A scholar is included among the top collaborators of Che‐Fang Hsu 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 Che‐Fang Hsu. Che‐Fang Hsu 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.
Hsu, Che‐Fang, et al.. (2024). Human peritoneal fluid exerts ovulation- and nonovulation-sourced oncogenic activities on transforming fallopian tube epithelial cells. Cancer Cell International. 24(1). 231–231. 2 indexed citations
2.
3.
Hsu, Che‐Fang, et al.. (2022). Cellular PSMB4 Protein Suppresses Influenza A Virus Replication through Targeting NS1 Protein. Viruses. 14(10). 2277–2277. 5 indexed citations
4.
Hsu, Che‐Fang, et al.. (2022). Ovulation Enhances Intraperitoneal and Ovarian Seedings of High-Grade Serous Carcinoma Cells Originating from the Fallopian Tube: Confirmation in a Bursa-Free Mouse Xenograft Model. International Journal of Molecular Sciences. 23(11). 6211–6211. 6 indexed citations
5.
Hsu, Che‐Fang, et al.. (2022). The Double Engines and Single Checkpoint Theory of Endometriosis. Biomedicines. 10(6). 1403–1403. 6 indexed citations
6.
Hsu, Che‐Fang, et al.. (2021). Ovulatory Follicular Fluid Facilitates the Full Transformation Process for the Development of High-Grade Serous Carcinoma. Cancers. 13(3). 468–468. 21 indexed citations
7.
Mei, Jie, Che‐Fang Hsu, Yu‐Ligh Liou, et al.. (2021). Cellular models of development of ovarian high‐grade serous carcinoma: A review of cell of origin and mechanisms of carcinogenesis. Cell Proliferation. 54(5). e13029–e13029. 27 indexed citations
8.
9.
Hsu, Che‐Fang, et al.. (2019). IGF-axis confers transformation and regeneration of fallopian tube fimbria epithelium upon ovulation. EBioMedicine. 41. 597–609. 36 indexed citations
10.
Lin, Shian‐Ren, Che‐Fang Hsu, Henrich Cheng, et al.. (2019). Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence. British Journal of Pharmacology. 177(6). 1409–1423. 304 indexed citations breakdown →
11.
Yeh, Ching‐Hua, et al.. (2016). Platelet-Derived Growth Factor in the Ovarian Follicle Attracts the Stromal Cells of the Fallopian Tube Fimbriae. PLoS ONE. 11(7). e0158266–e0158266. 8 indexed citations
12.
Huang, Hsuan-Shun, et al.. (2016). Haemoglobin in pelvic fluid rescues Fallopian tube epithelial cells from reactive oxygen species stress and apoptosis. The Journal of Pathology. 240(4). 484–494. 29 indexed citations
13.
Huang, Hsuan-Shun, et al.. (2015). Mutagenic, surviving and tumorigenic effects of follicular fluid in the context of p53 loss: initiation of fimbria carcinogenesis. Carcinogenesis. 36(11). 1419–1428. 58 indexed citations
14.
Li, Huichun, et al.. (2010). Enterovirus type 71 2A protease functions as a transcriptional activator in yeast. Journal of Biomedical Science. 17(1). 65–65. 28 indexed citations
15.
Chang, Chia‐Wei, et al.. (2009). Increased ATP generation in the host cell is required for efficient vaccinia virus production. Journal of Biomedical Science. 16(1). 80–80. 41 indexed citations
16.
17.
Hsu, Che‐Fang, et al.. (2007). High-Efficiency VLSI Architecture Design for Motion-Estimation in H.264/AVC. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(12). 2818–2825. 2 indexed citations
18.
Hsu, Che‐Fang. (2006). New Current-Mirror Sense Amplifier Design for High-Speed SRAM Applications. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E89-A(2). 377–384. 6 indexed citations
19.
Hsu, Che‐Fang. (2005). Frequency-Scaling Approach for Managing Power Consumption in NOCs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E88-A(12). 3580–3583. 3 indexed citations
20.
Hsu, Che‐Fang, Yuan‐Cheng Lai, & Shixiang Wang. (2005). Built-In Self-Test for Phase-Locked Loops. IEEE Transactions on Instrumentation and Measurement. 54(3). 996–1002. 22 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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