Jing‐Hung Wang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- MicroRNA in disease regulation
Papers in
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- RNA Interference and Gene Delivery 3
- Cancer therapeutics and mechanisms 2
- Extracellular vesicles in disease 2
- Advanced biosensing and bioanalysis techniques 1
- Oncology 3
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Grace Y. Sun (3 shared papers)Albert Y. Sun (1 shared paper)Małgorzata Chalimoniuk (1 shared paper)Joanna B. Strosznajder (1 shared paper)James Lee (1 shared paper)Ágnes Simonyi (1 shared paper)Phullara B. Shelat (1 shared paper)Micheline Piquette‐Miller (3 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Molecular Imaging and Biology (1 paper)Neurochemical Research (1 paper)Journal of Biomedical Science (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jing‐Hung Wang
10 papers receiving 620 citations
Peers
Comparison fields: 5 of 77
- Neurology 74
- Cancer Research 119
- Biological Psychiatry 19
- Physiology 177
- Clinical Biochemistry 33
Countries citing papers authored by Jing‐Hung Wang
This map shows the geographic impact of Jing‐Hung Wang'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 Jing‐Hung Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Hung Wang more than expected).
Fields of papers citing papers by Jing‐Hung Wang
This network shows the impact of papers produced by Jing‐Hung Wang. 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 Jing‐Hung Wang. The network helps show where Jing‐Hung Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing‐Hung Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 239 | |
| 2 | 2018 | 148 | |
| 3 | 2020 | 50 | |
| 4 | 2008 | 47 | |
| 5 | Detection of P-glycoprotein activity in endotoxemic rats by 99mTc-sestamibi imaging. | 2005 | 46 |
| 6 | 2018 | 44 | |
| 7 | 2019 | 25 | |
| 8 | 2000 | 18 | |
| 9 | 2016 | 7 | |
| 10 | 2006 | 7 | |
| 11 | 2001 | 0 |
About Jing‐Hung Wang
Jing‐Hung Wang is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Neurology and Physiology, having authored 11 papers that have together received 631 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cancer therapeutics and mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (74 citations), Cancer Research (119 citations), Biological Psychiatry (19 citations), Physiology (177 citations) and Clinical Biochemistry (33 citations). Jing‐Hung Wang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Grace Y. Sun, Albert Y. Sun, Małgorzata Chalimoniuk, Joanna B. Strosznajder, James Lee, Ágnes Simonyi, Phullara B. Shelat, Micheline Piquette‐Miller, A. Matin and Mark D. Pegram. Their work appears in journals such as Molecular Cancer Therapeutics, Molecular Imaging and Biology, Neurochemical Research, Journal of Biomedical Science and Sensors and Actuators B Chemical.
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.