Hung‐Jen Wu

2.5k total citations · 1 hit paper
52 papers, 2.1k citations indexed

About

Hung‐Jen Wu is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Hung‐Jen Wu has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Biomedical Engineering and 8 papers in Materials Chemistry. Recurrent topics in Hung‐Jen Wu's work include Glycosylation and Glycoproteins Research (11 papers), Lipid Membrane Structure and Behavior (9 papers) and Biosensors and Analytical Detection (7 papers). Hung‐Jen Wu is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Lipid Membrane Structure and Behavior (9 papers) and Biosensors and Analytical Detection (7 papers). Hung‐Jen Wu collaborates with scholars based in United States, Taiwan and China. Hung‐Jen Wu's co-authors include Victor M. Ugaz, Michael A. Bevan, Jay T. Groves, Ye Hu, Xuewu Liu, Daniel H. Fine, Biana Godin, John X. J. Zhang, Zongxing Wang and Joseph Sang‐Il Kwon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Hung‐Jen Wu

50 papers receiving 2.0k citations

Hit Papers

Microfluidics for exosome isolation and analysis: enablin... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung‐Jen Wu United States 22 1.1k 712 331 327 186 52 2.1k
Marta Bally Sweden 26 1.6k 1.4× 757 1.1× 236 0.7× 159 0.5× 252 1.4× 66 2.5k
Dae‐Ro Ahn South Korea 27 1.6k 1.4× 700 1.0× 306 0.9× 164 0.5× 78 0.4× 75 2.4k
Alain Pluen United Kingdom 19 1.4k 1.3× 1.6k 2.2× 338 1.0× 168 0.5× 103 0.6× 45 3.4k
Xiaolin Nan United States 26 1.1k 1.0× 524 0.7× 291 0.9× 89 0.3× 143 0.8× 52 2.3k
Ying Hu United States 23 1.0k 0.9× 587 0.8× 640 1.9× 127 0.4× 135 0.7× 51 2.6k
Gert‐Jan Kremers Netherlands 22 2.0k 1.7× 438 0.6× 266 0.8× 228 0.7× 187 1.0× 46 3.4k
Mingjun Cai China 29 1.4k 1.2× 433 0.6× 437 1.3× 103 0.3× 354 1.9× 109 2.6k
Jin‐Min Nam Japan 21 2.1k 1.8× 1.3k 1.8× 582 1.8× 335 1.0× 101 0.5× 34 3.5k
Raymond M. Reilly Canada 44 1.6k 1.4× 1.2k 1.7× 421 1.3× 263 0.8× 48 0.3× 174 6.3k
Chun‐Hao Huang Taiwan 22 992 0.9× 356 0.5× 306 0.9× 144 0.4× 149 0.8× 76 2.6k

Countries citing papers authored by Hung‐Jen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Jen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Jen Wu. 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 Hung‐Jen Wu. The network helps show where Hung‐Jen Wu may publish in the future.

Co-authorship network of co-authors of Hung‐Jen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐Jen Wu. A scholar is included among the top collaborators of Hung‐Jen Wu 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 Hung‐Jen Wu. Hung‐Jen Wu 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.
2.
Park, Hyundo, et al.. (2023). Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms. SHILAP Revista de lepidopterología. 2(12). 7 indexed citations
3.
Kwon, Joseph Sang‐Il, et al.. (2022). Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification. SHILAP Revista de lepidopterología. 3. 100020–100020. 31 indexed citations
4.
Chen, Hsin, et al.. (2022). Dual-cell culture system with identical culture environment for comparison of anti-cancer drug toxicity. Chemical Engineering Science. 253. 117555–117555. 5 indexed citations
5.
Wu, Hung‐Jen, et al.. (2020). Hetero-Multivalent Binding of Lectin to Glycans on Cell Membranes. Biophysical Journal. 118(3). 383a–383a.
6.
Yuan, Shuai, et al.. (2019). Multi-functional SERS substrate: Collection, separation, and identification of airborne chemical powders on a single device. Sensors and Actuators B Chemical. 297. 126765–126765. 10 indexed citations
7.
Saenkham, Panatda, Thushara Galbadage, Preeti Sule, et al.. (2018). Hetero-Multivalency of Pseudomonas aeruginosa Lectin LecA Binding to Model Membranes. Scientific Reports. 8(1). 8419–8419. 23 indexed citations
8.
Wu, Hung‐Jen, et al.. (2017). Hetero-multivalent binding of cholera toxin subunit B with glycolipid mixtures. Colloids and Surfaces B Biointerfaces. 160. 281–288. 28 indexed citations
9.
Wu, Hung‐Jen, et al.. (2016). Quantitative surface-enhanced Raman spectroscopy for kinetic analysis of aldol condensation using Ag–Au core–shell nanocubes. The Analyst. 141(21). 6051–6060. 23 indexed citations
10.
Wu, Hung‐Jen, et al.. (2016). Binding Cooperativity Matters: A GM1-Like Ganglioside-Cholera Toxin B Subunit Binding Study Using a Nanocube-Based Lipid Bilayer Array. PLoS ONE. 11(4). e0153265–e0153265. 35 indexed citations
11.
Iversen, Lars, Hsiung‐Lin Tu, Wan‐Chen Lin, et al.. (2014). Ras activation by SOS: Allosteric regulation by altered fluctuation dynamics. Science. 345(6192). 50–54. 110 indexed citations
12.
Fine, Daniel H., Alessandro Grattoni, Shyam S. Bansal, et al.. (2013). Silicon Micro‐ and Nanofabrication for Medicine. Advanced Healthcare Materials. 2(5). 632–666. 63 indexed citations
13.
Jia, Fan, James W. Gallagher, Hung‐Jen Wu, et al.. (2012). Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery. Journal of Visualized Experiments. 3 indexed citations
14.
Huang, Hsin-Hua, et al.. (2012). Double stranded polymeric ladderphanes with 16-π-electron antiaromatic metallocycle linkers. Organic & Biomolecular Chemistry. 10(30). 5948–5948. 16 indexed citations
15.
Gallagher, James W., Hung‐Jen Wu, Matthew Landry, et al.. (2012). Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery. Journal of Visualized Experiments. 10 indexed citations
16.
Lee, Shern‐Long, et al.. (2012). Electrical pulse triggered reversible assembly of molecular adlayers. Chemical Communications. 48(96). 11748–11748. 20 indexed citations
17.
Fan, Jia, Yi Huang, Hung‐Jen Wu, et al.. (2012). Serum peptidomic biomarkers for pulmonary metastatic melanoma identified by means of a nanopore-based assay. Cancer Letters. 334(2). 202–210. 17 indexed citations
18.
Yu, Cheng‐han, Hung‐Jen Wu, Yoshihisa Kaizuka, Ronald D. Vale, & Jay T. Groves. (2010). Altered Actin Centripetal Retrograde Flow in Physically Restricted Immunological Synapses. PLoS ONE. 5(7). e11878–e11878. 57 indexed citations
19.
Gomez, Esther W., Nathan Clack, Hung‐Jen Wu, & Jay T. Groves. (2009). Like-charge interactions between colloidal particles are asymmetric with respect to sign. Soft Matter. 5(9). 1931–1931. 36 indexed citations
20.
Everett, W. Neil, et al.. (2006). Diffusing Colloidal Probes of Protein and Synthetic Macromolecule Interactions. Biophysical Journal. 92(3). 1005–1013. 32 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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