Jonah Cheung
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- RNA and protein synthesis mechanisms 5
- Pharmacology 11
- Cholinesterase and Neurodegenerative Diseases 11
- Co-authors
- Wayne A. Hendrickson (8 shared papers)E. Gary (4 shared papers)M. Cassidy (6 shared papers)Matthew C. Franklin (6 shared papers)M. Rudolph (6 shared papers)F. Burshteyn (3 shared papers)J.J. Height (4 shared papers)J. Love (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Structure (3 papers)Proteins Structure Function and Bioinformatics (3 papers)Chemico-Biological Interactions (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Jonah Cheung
28 papers receiving 2.5k citations
Jonah Cheung's Hit Papers
Peers
Comparison fields: 5 of 113
- Pharmacology 1.3k
- Computational Theory and Mathematics 893
- Organic Chemistry 688
- Complementary and alternative medicine 179
- Molecular Biology 974
Countries citing papers authored by Jonah Cheung
This map shows the geographic impact of Jonah Cheung'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 Jonah Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonah Cheung more than expected).
Fields of papers citing papers by Jonah Cheung
This network shows the impact of papers produced by Jonah Cheung. 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 Jonah Cheung. The network helps show where Jonah Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonah Cheung, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands Hit paper breakdown → | 2012 | 1121 |
| 2 | 2013 | 241 | |
| 3 | 2010 | 166 | |
| 4 | 2009 | 103 | |
| 5 | 2017 | 97 | |
| 6 | 2008 | 92 | |
| 7 | 2008 | 77 | |
| 8 | 2015 | 76 | |
| 9 | 2015 | 75 | |
| 10 | 2000 | 70 | |
| 11 | 2021 | 69 | |
| 12 | 2016 | 67 | |
| 13 | 2017 | 49 | |
| 14 | 2018 | 44 | |
| 15 | 2014 | 39 | |
| 16 | 2016 | 34 | |
| 17 | 2019 | 32 | |
| 18 | 2009 | 23 | |
| 19 | 2013 | 13 | |
| 20 | 2019 | 12 |
About Jonah Cheung
Jonah Cheung is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Genetics and Plant Science, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (10 papers), RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Pesticide Exposure and Toxicity (4 papers), Medicinal Plants and Neuroprotection (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Pharmacology (1.3k citations), Computational Theory and Mathematics (893 citations), Organic Chemistry (688 citations), Complementary and alternative medicine (179 citations) and Molecular Biology (974 citations). Jonah Cheung has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Wayne A. Hendrickson, E. Gary, M. Cassidy, Matthew C. Franklin, M. Rudolph, F. Burshteyn, J.J. Height, J. Love, Terrone L. Rosenberry and Kazuro Shiomi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Structure, Proteins Structure Function and Bioinformatics, Chemico-Biological Interactions and Biochemistry.
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.