Stephen Hsu

135 papers receiving 3.2k citations

Peers

Stephen Hsu
Comparison fields: 5 of 154
  • Applied Microbiology and Biotechnology 111
  • Biochemistry 317
  • Pathology and Forensic Medicine 742
  • Dermatology 185
  • Biological Psychiatry 40
Replace Kai Zhang with:
Kai Zhang China
Young Sup Lee South Korea
Hiroshi Nakagawa Japan
Li Mao China
Min Zheng China
Yu Liu China
Ashok Kumar United States
Li Chen China
Ning Gao China
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Stephen Hsu relative to Kai Zhang China Kai Zhang's profile →
Citations per field
00.5×6.6×
Kai Zhang · 1×
Citations per year

Countries citing papers authored by Stephen Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen 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 Stephen Hsu Line = papers co-authored together Stephen Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005209
2 2004152
3 2003131
4 2003126
5 2002106
6 2018101
7 200394
8 200492
9
Colon carcinoma cells switch their response to transforming growth factor beta 1 with tumor progression.
199474
10 201262
11
Green tea polyphenol targets the mitochondria in tumor cells inducing caspase 3-dependent apoptosis.
200359
12 201958
13 200553
14
Chemoprevention of oral cancer by green tea.
200252
15 199551
16 200850
17 200449
18 200449
19 199947
20 200746

About Stephen Hsu

Stephen Hsu is a scholar working on Electrical and Electronic Engineering, Pathology and Forensic Medicine, Molecular Biology, Genetics and Biomedical Engineering, having authored 146 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (50 papers), Tea Polyphenols and Effects (26 papers), Integrated Circuits and Semiconductor Failure Analysis (22 papers), 3D IC and TSV technologies (15 papers), Genetic Associations and Epidemiology (12 papers), Electron and X-Ray Spectroscopy Techniques (10 papers), Cancer-related Molecular Pathways (10 papers) and Industrial Vision Systems and Defect Detection (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (111 citations), Biochemistry (317 citations), Pathology and Forensic Medicine (742 citations), Dermatology (185 citations) and Biological Psychiatry (40 citations). Stephen Hsu has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include George S. Schuster, Jill B. Lewis, Baldev Singh, Douglas Dickinson, John C. Wataha, Louis Lello, Tetsuya Yamamoto, Wendy B. Bollag, Tokio Osaki and Eileen Friedman. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Scientific Reports, Japanese Journal of Applied Physics, Inflammation & Allergy - Drug Targets and Oral Surgery Oral Medicine Oral Pathology and Oral Radiology.

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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