Andrew Hung
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Biological Psychiatry top 5%
Papers in
-
- Receptor Mechanisms and Signaling 16
- Nicotinic Acetylcholine Receptors Study 16
- Lipid Membrane Structure and Behavior 12
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- Computational Drug Discovery Methods 21
- Co-authors
- Irene Yarovsky (22 shared papers)Salvy P. Russo (7 shared papers)Tom C. Karagiannis (44 shared papers)Julia Liang (33 shared papers)J. Muscat (4 shared papers)Eleni Pitsillou (32 shared papers)Stefan Kasapis (10 shared papers)Ian K. Snook (5 shared papers)
In The Last Decade
Andrew Hung
140 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 171
- Microbiology 162
- Biological Psychiatry 65
- Molecular Biology 1.3k
- Food Science 330
- Water Science and Technology 238
Countries citing papers authored by Andrew Hung
This map shows the geographic impact of Andrew Hung'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 Andrew Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Hung more than expected).
Fields of papers citing papers by Andrew Hung
This network shows the impact of papers produced by Andrew Hung. 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 Andrew Hung. The network helps show where Andrew Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Hung, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 160 | |
| 2 | 2002 | 149 | |
| 3 | 2019 | 135 | |
| 4 | 2011 | 134 | |
| 5 | 2004 | 102 | |
| 6 | 2002 | 83 | |
| 7 | 2019 | 82 | |
| 8 | 2018 | 70 | |
| 9 | 2013 | 66 | |
| 10 | 2002 | 65 | |
| 11 | 2018 | 63 | |
| 12 | 2020 | 62 | |
| 13 | 2002 | 59 | |
| 14 | 2019 | 58 | |
| 15 | 2019 | 58 | |
| 16 | 2014 | 58 | |
| 17 | 2018 | 52 | |
| 18 | 2023 | 51 | |
| 19 | 2020 | 49 | |
| 20 | 2012 | 47 |
About Andrew Hung
Andrew Hung is a scholar working on Molecular Biology, Computational Theory and Mathematics, Food Science, Infectious Diseases and Pharmacology, having authored 151 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Receptor Mechanisms and Signaling (16 papers), Nicotinic Acetylcholine Receptors Study (16 papers), Proteins in Food Systems (15 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Alzheimer's disease research and treatments (12 papers), Pharmacological Effects of Natural Compounds (12 papers) and Lipid Membrane Structure and Behavior (12 papers). The work is most often cited by research in Microbiology (162 citations), Biological Psychiatry (65 citations), Molecular Biology (1.3k citations), Food Science (330 citations) and Water Science and Technology (238 citations). Andrew Hung has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Irene Yarovsky, Salvy P. Russo, Tom C. Karagiannis, Julia Liang, J. Muscat, Eleni Pitsillou, Stefan Kasapis, Ian K. Snook, Angela Wei Hong Yang and Michelle J. S. Spencer. Their work appears in journals such as Journal of Molecular Graphics and Modelling, Surface Science, Food Hydrocolloids, The Journal of Physical Chemistry B and Food Chemistry.
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.