Fei‐Ting Hsu

121 papers receiving 2.2k citations

Peers

Fei‐Ting Hsu
Comparison fields: 5 of 110
  • Rehabilitation 161
  • Cancer Research 306
  • Genetics 154
  • Molecular Biology 937
  • Pharmacology 106
Replace Myeong Jin Nam with:
Myeong Jin Nam South Korea
Jianhong Zhu China
Katiuscia Dallaglio Italy
Michael Y. Bonner United States
Jeng‐Jong Hwang Taiwan
Bao-Wei Wang Taiwan
Penny E. Lovat United Kingdom
Sutapa Ray United States
Kai Zhao China
Fei‐Ting Hsu relative to Myeong Jin Nam South Korea Myeong Jin Nam's profile →
Citations per field
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Myeong Jin Nam · 1×
Citations per year

Countries citing papers authored by Fei‐Ting Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Fei‐Ting Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei‐Ting Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei‐Ting Hsu Line = papers co-authored together Fei‐Ting Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018225
2 202279
3 201658
4
Sorafenib inhibits TPA-induced MMP-9 and VEGF expression via suppression of ERK/NF-κB pathway in hepatocellular carcinoma cells.
201354
5 201654
6 201451
7 201643
8 201942
9 201841
10 201039
11 202039
12 202037
13 201936
14 201535
15 201933
16 201933
17 201433
18 202032
19 201832
20 201732

About Fei‐Ting Hsu

Fei‐Ting Hsu is a scholar working on Molecular Biology, Oncology, Psychiatry and Mental health, Cancer Research and Rehabilitation, having authored 126 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer, Stress, Anesthesia, and Immune Response (18 papers), Magnolia and Illicium research (18 papers), Biological Activity of Diterpenoids and Biflavonoids (17 papers), Cancer Mechanisms and Therapy (11 papers), NF-κB Signaling Pathways (10 papers), Bladder and Urothelial Cancer Treatments (6 papers), Macrophage Migration Inhibitory Factor (6 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). The work is most often cited by research in Rehabilitation (161 citations), Cancer Research (306 citations), Genetics (154 citations), Molecular Biology (937 citations) and Pharmacology (106 citations). Fei‐Ting Hsu has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include I‐Tsang Chiang, Yu‐Chang Liu, Jing‐Gung Chung, Jeng‐Jong Hwang, Po–Jung Pan, Cheng‐Yu Chen, Jiann‐Hwa Chen, SONG-SHEI LIN, Yu‐Chieh Jill Kao and Chia‐Feng Lu. Their work appears in journals such as Anticancer Research, Cancer Research, Biomedicine & Pharmacotherapy, Environmental Toxicology and International Journal of Molecular Sciences.

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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