N. Hung
Impact in
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- Computational Drug Discovery Methods
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- Alzheimer's disease research and treatments
Papers in
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- Protein Structure and Dynamics 9
- Receptor Mechanisms and Signaling 8
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- Computational Drug Discovery Methods 8
- Co-authors
- Yinglong Miao (17 shared papers)Jinan Wang (11 shared papers)Apurba Bhattarai (4 shared papers)Michael S. Wolfe (3 shared papers)Xin‐Yun Huang (2 shared papers)Ronald M. Levy (1 shared paper)Minfei Su (2 shared papers)Lane Votapka (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (3 papers)ACS Chemical Neuroscience (2 papers)Journal of Chemical Theory and Computation (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
N. Hung
19 papers receiving 243 citations
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 53
- Physiology 12
- Molecular Biology 164
- Cellular and Molecular Neuroscience 29
- Physiology 37
Countries citing papers authored by N. Hung
This map shows the geographic impact of N. 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 N. Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Hung more than expected).
Fields of papers citing papers by N. Hung
This network shows the impact of papers produced by N. 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 N. Hung. The network helps show where N. Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside N. 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2023 | 37 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 20 | |
| 5 | 2021 | 19 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 17 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2026 | 0 |
About N. Hung
N. Hung is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Virology and Spectroscopy, having authored 22 papers that have together received 246 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (8 papers), Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), HIV Research and Treatment (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Alzheimer's disease research and treatments (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (53 citations), Physiology (12 citations), Molecular Biology (164 citations), Cellular and Molecular Neuroscience (29 citations) and Physiology (37 citations). N. Hung has collaborated with scholars based in United States, China and India. Frequent co-authors include Yinglong Miao, Jinan Wang, Apurba Bhattarai, Michael S. Wolfe, Xin‐Yun Huang, Ronald M. Levy, Minfei Su, Lane Votapka, Keya Joshi and Rommie E. Amaro. Their work appears in journals such as The Journal of Physical Chemistry B, ACS Chemical Neuroscience, Journal of Chemical Theory and Computation, Nature Communications and Cell Reports.
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.