Hsin‐Yun Hsu

3.6k total citations
39 papers, 899 citations indexed

About

Hsin‐Yun Hsu is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Hsin‐Yun Hsu has authored 39 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Biomedical Engineering and 12 papers in Materials Chemistry. Recurrent topics in Hsin‐Yun Hsu's work include Microbial Inactivation Methods (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Hsin‐Yun Hsu is often cited by papers focused on Microbial Inactivation Methods (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Hsin‐Yun Hsu collaborates with scholars based in Taiwan, Germany and Japan. Hsin‐Yun Hsu's co-authors include You‐Zung Hsieh, Yu‐Cheng Chen, Shu‐Pao Wu, Manfred Weiß, Shinsuke Shigeto, Pei-Ying Hsieh, Kamlesh Awasthi, Nobuhiro Ohta, Ute Bauer and Tobias Woehrle and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry B and Proceedings of the IEEE.

In The Last Decade

Hsin‐Yun Hsu

37 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin‐Yun Hsu Taiwan 19 323 238 238 141 130 39 899
Samir V. Jenkins United States 20 439 1.4× 280 1.2× 318 1.3× 137 1.0× 39 0.3× 45 1.1k
Paulo Jacob Silva Switzerland 11 163 0.5× 264 1.1× 335 1.4× 184 1.3× 77 0.6× 33 830
Samaneh Mashaghi Netherlands 12 465 1.4× 117 0.5× 255 1.1× 110 0.8× 179 1.4× 15 835
Jieming Li China 15 494 1.5× 145 0.6× 596 2.5× 271 1.9× 46 0.4× 38 1.2k
Pradip Dey India 18 325 1.0× 228 1.0× 305 1.3× 313 2.2× 112 0.9× 45 1.1k
Xiaohui Wei China 22 227 0.7× 190 0.8× 442 1.9× 266 1.9× 78 0.6× 67 1.2k
Xiaowen Ou China 17 417 1.3× 241 1.0× 387 1.6× 103 0.7× 88 0.7× 36 878
Yuping Shan China 20 232 0.7× 159 0.7× 455 1.9× 122 0.9× 112 0.9× 44 957
Judith A. Scoble Australia 19 398 1.2× 124 0.5× 751 3.2× 157 1.1× 88 0.7× 43 1.3k

Countries citing papers authored by Hsin‐Yun Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Yun Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsin‐Yun Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Yun Hsu. A scholar is included among the top collaborators of Hsin‐Yun 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 Hsin‐Yun Hsu. Hsin‐Yun 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.
Yang, Yaqi, et al.. (2025). Development of a zebrafish platform for modeling reperfusion injury in neonatal Hypoxic–Ischemic encephalopathy: Validation with S-nitrosoglutathione. Biochemical and Biophysical Research Communications. 784. 152613–152613.
2.
Lin, T.F., Cheng‐Kang Chiang, Jim Jinn‐Chyuan Sheu, et al.. (2025). Soy Protein-Cultured Mesenchymal Stem Cell-Secreted Extracellular Vesicles Target the Neurovascular Unit: Insights from a Zebrafish Brain Injury Model. ACS Biomaterials Science & Engineering. 11(3). 1432–1444. 1 indexed citations
3.
Awasthi, Kamlesh, et al.. (2025). Unveiling the susceptibility of nanosecond pulsed electric field on intracellular function in breast cancerous and normal cells using fluorescence imaging. Biosensors and Bioelectronics. 272. 117129–117129. 1 indexed citations
4.
Awasthi, Kamlesh, et al.. (2023). Application of Nanosecond Pulsed Electric Field and Autofluorescence Lifetime Microscopy of FAD in Lung Cells. The Journal of Physical Chemistry B. 127(25). 5566–5575. 3 indexed citations
5.
Awasthi, Kamlesh, et al.. (2022). Fluorescence microscopic approach for detection of two different modes of breast cancer cell death induced by nanosecond pulsed electric field. Sensors and Actuators B Chemical. 378. 133199–133199. 7 indexed citations
6.
Awasthi, Kamlesh, et al.. (2021). Cancer specific apoptosis induced by electric field: A possible key mechanism in cell-competition and photodynamic action. Sensors and Actuators B Chemical. 347. 130635–130635. 8 indexed citations
7.
Awasthi, Kamlesh, et al.. (2020). Characterization of endogenous fluorescence in nonsmall lung cancerous cells: A comparison with nonmalignant lung normal cells. Journal of Biophotonics. 13(5). e201960210–e201960210. 11 indexed citations
9.
Hsu, Hsin‐Yun, et al.. (2017). Bio-templated silica composites for next-generation biomedical applications. Advances in Colloid and Interface Science. 249. 272–289. 54 indexed citations
10.
Hsu, Hsin‐Yun, et al.. (2016). Carbon-Based Materials for Photo-Triggered Theranostic Applications. Molecules. 21(11). 1585–1585. 55 indexed citations
11.
Hsu, Hsin‐Yun, Hong-Yuan Huang, Shih‐Kang Fan, et al.. (2016). A highly efficient bead extraction technique with low bead number for digital microfluidic immunoassay. Biomicrofluidics. 10(1). 11901–11901. 20 indexed citations
12.
Huang, Chien‐Hua, Min‐Shan Tsai, Kuo‐Liong Chien, et al.. (2016). Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays. Scientific Reports. 6(1). 27187–27187. 19 indexed citations
14.
Hsu, Hsin‐Yun, et al.. (2015). Differential in situ sensing of extra- and intracellular glutathione by a novel redox-responsive silica matrix-Au nanoprobe. Analytica Chimica Acta. 902. 196–204. 9 indexed citations
15.
Hsu, Hsin‐Yun, et al.. (2015). In vitro investigation of methylene blue-bearing, electrostatically assembled aptamer–silica nanocomposites as potential photodynamic therapeutics. Colloids and Surfaces B Biointerfaces. 135. 217–224. 15 indexed citations
16.
Shigeto, Shinsuke, et al.. (2015). Biothiol-triggered, self-disassembled silica nanobeads for intracellular drug delivery. Acta Biomaterialia. 23. 263–270. 17 indexed citations
17.
Chen, Yu‐Cheng, et al.. (2014). Oligonucleotides as ‘bio-solvent’ for in situ extraction and functionalisation of carbon nanoparticles. Journal of Materials Chemistry B. 2(26). 4100–4107. 4 indexed citations
18.
Chen, Yu‐Cheng, et al.. (2013). Non-metallic nanomaterials in cancer theranostics: a review of silica- and carbon-based drug delivery systems. Science and Technology of Advanced Materials. 14(4). 44407–44407. 69 indexed citations
19.
Punyadeera, Chamindie, et al.. (2010). A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity. Journal of Emergencies Trauma and Shock. 3(1). 26–26. 62 indexed citations
20.
Woehrle, Tobias, Wei‐Dong Du, Hsin‐Yun Hsu, et al.. (2008). Pathogen specific cytokine release reveals an effect of TLR2 Arg753Gln during Candida sepsis in humans. Cytokine. 41(3). 322–329. 83 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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