Stephen Hsu

4.4k total citations
148 papers, 3.3k citations indexed

About

Stephen Hsu is a scholar working on Electrical and Electronic Engineering, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Stephen Hsu has authored 148 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 34 papers in Pathology and Forensic Medicine and 29 papers in Molecular Biology. Recurrent topics in Stephen Hsu's work include Advancements in Photolithography Techniques (49 papers), Tea Polyphenols and Effects (28 papers) and Integrated Circuits and Semiconductor Failure Analysis (21 papers). Stephen Hsu is often cited by papers focused on Advancements in Photolithography Techniques (49 papers), Tea Polyphenols and Effects (28 papers) and Integrated Circuits and Semiconductor Failure Analysis (21 papers). Stephen Hsu collaborates with scholars based in United States, Netherlands and Japan. Stephen Hsu's 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 and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Stephen Hsu

135 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Hsu United States	34	955	783	418	378	338	148	3.3k
Sang‐Joon Park South Korea	30	899 0.9×	145 0.2×	481 1.2×	197 0.5×	177 0.5×	172	3.0k
Li Mao China	28	1.4k 1.4×	884 1.1×	107 0.3×	781 2.1×	78 0.2×	104	3.5k
Chris Jackson Australia	41	1.4k 1.5×	202 0.3×	160 0.4×	448 1.2×	52 0.2×	170	6.4k
Linlin Liu China	38	2.1k 2.2×	202 0.3×	186 0.4×	351 0.9×	136 0.4×	291	4.7k
Young Kee Shin South Korea	49	4.3k 4.6×	559 0.7×	160 0.4×	1.6k 4.3×	116 0.3×	200	8.0k
Yu Liu China	40	3.4k 3.5×	236 0.3×	149 0.4×	1.3k 3.5×	158 0.5×	250	5.9k
Naoki Inagaki Japan	38	885 0.9×	201 0.3×	156 0.4×	205 0.5×	104 0.3×	194	4.5k
Jae Woo Kim South Korea	44	2.3k 2.5×	350 0.4×	97 0.2×	725 1.9×	107 0.3×	309	6.9k
Ting Wang China	30	1.9k 2.0×	160 0.2×	76 0.2×	422 1.1×	75 0.2×	148	4.0k
Young Lee South Korea	38	1.5k 1.6×	260 0.3×	96 0.2×	404 1.1×	61 0.2×	284	5.9k

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-authorship network of co-authors of Stephen Hsu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bigwood, R., Kedong Zhang, Stephen Hsu, et al.. (2025). Accelerating high-NA introduction with RET innovations. 10–10.

Garcia, William J., et al.. (2024). Feasibility Study of Developing a Saline-Based Antiviral Nanoformulation Containing Lipid-Soluble EGCG: A Potential Nasal Drug to Treat Long COVID. Viruses. 16(2). 196–196. 2 indexed citations

Marquardt, Klaus, et al.. (2024). Microfocused Ultrasound With Visualization Induces Remodeling of Collagen and Elastin Within the Skin. Journal of Cosmetic Dermatology. 24(1). e16638–e16638. 4 indexed citations

Huijghebaert, Suzy, David Rabago, Amy L. Baxter, et al.. (2023). Saline nasal irrigation and gargling in COVID-19: a multidisciplinary review of effects on viral load, mucosal dynamics, and patient outcomes. Frontiers in Public Health. 11. 1161881–1161881. 6 indexed citations

Raben, Timothy G., et al.. (2023). Biobank-scale methods and projections for sparse polygenic prediction from machine learning. Scientific Reports. 13(1). 11662–11662. 4 indexed citations

Raben, Timothy G., et al.. (2022). From Genotype to Phenotype: Polygenic Prediction of Complex Human Traits. Methods in molecular biology. 2467. 421–446. 6 indexed citations

Ko, Min Jung, Wei-Feng Tsai, Yu‐Sen Peng, et al.. (2021). Altered Monocytic Phenotypes are Associated with Uraemic Pruritus in Patients Receiving Haemodialysis. Acta Dermato Venereologica. 101(6). adv00479–adv00479. 5 indexed citations

Hurst, Brett L., Douglas Dickinson, & Stephen Hsu. (2021). Epigallocatechin-3-Gallate (EGCG) Inhibits SARS-CoV-2 Infection in Primate Epithelial Cells. PubMed. 5(2). 13 indexed citations

Lello, Louis, Timothy G. Raben, & Stephen Hsu. (2020). Sibling validation of polygenic risk scores and complex trait prediction. Scientific Reports. 10(1). 13190–13190. 22 indexed citations

10.

Lello, Louis, et al.. (2019). Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer. Scientific Reports. 9(1). 15286–15286. 42 indexed citations

11.

Lello, Louis, S. Avery, Laurent C. A. M. Tellier, et al.. (2018). Accurate Genomic Prediction of Human Height. Genetics. 210(2). 477–497. 98 indexed citations

12.

Kim, Hwasoon, et al.. (2017). Will Big Data Close the Missing Heritability Gap?. Genetics. 207(3). 1135–1145. 41 indexed citations

13.

Lee, Lee H., et al.. (2017). Modified Green Tea Polyphenols, EGCG-S and LTP, Inhibit Endospore in Three <i>Bacillus</i> spp.. Advances in Microbiology. 7(3). 175–187. 10 indexed citations

14.

Hsu, Stephen. (2016). Virucidal capacity of novel ProtecTeaV sanitizer formulations containing lipophilic Epigallocatechin-3- Gallate (EGCG). Journal of Clinical Trials. 7 indexed citations

15.

Hsu, Stephen. (2015). Compounds Derived from Epigallocatechin-3-Gallate (EGCG) as a Novel Approach to the Prevention of Viral Infections. Inflammation & Allergy - Drug Targets. 14(1). 13–18. 42 indexed citations

16.

Kodani, Isamu, Douglas Dickinson, Kalu U.E. Ogbureke, et al.. (2008). Effects of oral consumption of the green tea polyphenol EGCG in a murine model for human Sjogren's syndrome, an autoimmune disease. Life Sciences. 83(17-18). 581–588. 50 indexed citations

17.

Lewis, Jill B., et al.. (2008). Ni(II) ions dysregulate cytokine secretion from human monocytes. Journal of Biomedical Materials Research Part B Applied Biomaterials. 88B(2). 358–365. 18 indexed citations

18.

Hsu, Stephen, Qin Huang, Jill B. Lewis, et al.. (2003). A Mechanism-Based In Vitro Anticancer Drug Screening Approach for Phenolic Phytochemicals. Assay and Drug Development Technologies. 1(5). 611–618. 13 indexed citations

19.

Yamamoto, Tetsuya, Stephen Hsu, Jill B. Lewis, et al.. (2003). Green Tea Polyphenol Causes Differential Oxidative Environments in Tumor versus Normal Epithelial Cells. Journal of Pharmacology and Experimental Therapeutics. 307(1). 230–236. 126 indexed citations

20.

Hsu, Stephen, Fei Huang, & Eileen Friedman. (1995). Platelet‐derived growth factor‐B increases colon cancer cell growth in vivo by a paracrine effect. Journal of Cellular Physiology. 165(2). 239–245. 51 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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