Hung‐Jen Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
Papers in
-
- Glycosylation and Glycoproteins Research 11
- Lipid Membrane Structure and Behavior 9
- Advanced biosensing and bioanalysis techniques 5
-
- Biosensors and Analytical Detection 7
- Co-authors
- Victor M. Ugaz (1 shared paper)Michael A. Bevan (6 shared papers)Jay T. Groves (6 shared papers)Ye Hu (8 shared papers)Daniel H. Fine (4 shared papers)Xuewu Liu (5 shared papers)Biana Godin (3 shared papers)John X. J. Zhang (1 shared paper)
- Journals
- Langmuir (6 papers)PLoS ONE (3 papers)RSC Advances (2 papers)Biophysical Journal (2 papers)Chemical Communications (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Hung‐Jen Wu
50 papers receiving 2.1k citations
Hung‐Jen Wu's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 319
- Molecular Biology 1.2k
- Biomedical Engineering 708
- Immunology and Allergy 85
- Biophysics 74
Countries citing papers authored by Hung‐Jen Wu
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
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-authors
The 25 scholars most cited alongside Hung‐Jen Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Microfluidics for exosome isolation and analysis: enabling liquid biopsy for personalized medicine Hit paper breakdown → | 2017 | 497 |
| 2 | 2013 | 306 | |
| 3 | 2014 | 116 | |
| 4 | 2017 | 92 | |
| 5 | 2012 | 85 | |
| 6 | 2005 | 73 | |
| 7 | 2013 | 63 | |
| 8 | 2012 | 59 | |
| 9 | 2010 | 58 | |
| 10 | 2005 | 54 | |
| 11 | 2012 | 45 | |
| 12 | 2016 | 41 | |
| 13 | 2009 | 37 | |
| 14 | 2016 | 36 | |
| 15 | 2006 | 33 | |
| 16 | 2022 | 33 | |
| 17 | 2006 | 31 | |
| 18 | 2012 | 31 | |
| 19 | 2018 | 29 | |
| 20 | 2017 | 28 |
About Hung‐Jen Wu
Hung‐Jen Wu is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Lipid Membrane Structure and Behavior (9 papers), Biosensors and Analytical Detection (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Molecular Junctions and Nanostructures (5 papers), Material Dynamics and Properties (5 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Cancer Research (319 citations), Molecular Biology (1.2k citations), Biomedical Engineering (708 citations), Immunology and Allergy (85 citations) and Biophysics (74 citations). Hung‐Jen Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Victor M. Ugaz, Michael A. Bevan, Jay T. Groves, Ye Hu, Daniel H. Fine, Xuewu Liu, Biana Godin, John X. J. Zhang, Zongxing Wang and Joseph Sang‐Il Kwon. Their work appears in journals such as Langmuir, PLoS ONE, RSC Advances, Biophysical Journal and Chemical Communications.
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.