Sergio Wong
Impact in
-
- Computational Drug Discovery Methods
- Process Chemistry and Technology top 10%
Papers in
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- Protein Structure and Dynamics 13
- Enzyme function and inhibition 3
- RNA and protein synthesis mechanisms 3
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- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Felice C. Lightstone (20 shared papers)Xiaohua Zhang (5 shared papers)Edmond Y. Lau (5 shared papers)Matthew P. Jacobson (4 shared papers)Daniel Kirshner (3 shared papers)Jerome P. Nilmeier (2 shared papers)Timothy S. Carpenter (1 shared paper)J. Andrew McCammon (3 shared papers)
- Journals
- PLoS ONE (4 papers)The Journal of Physical Chemistry B (3 papers)Journal of Computational Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Expert Opinion on Drug Discovery (2 papers)
- Partner nations
- United StatesTürkiyeIsrael
In The Last Decade
Sergio Wong
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Computational Theory and Mathematics 354
- Process Chemistry and Technology 56
- Toxicology 57
- Molecular Medicine 69
- Molecular Biology 914
Countries citing papers authored by Sergio Wong
This map shows the geographic impact of Sergio Wong'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 Sergio Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Wong more than expected).
Fields of papers citing papers by Sergio Wong
This network shows the impact of papers produced by Sergio Wong. 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 Sergio Wong. The network helps show where Sergio Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Wong, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 241 | |
| 2 | 2007 | 116 | |
| 3 | 2012 | 95 | |
| 4 | 2009 | 93 | |
| 5 | 2010 | 91 | |
| 6 | 2012 | 85 | |
| 7 | 2013 | 75 | |
| 8 | 2013 | 66 | |
| 9 | 2012 | 66 | |
| 10 | 2014 | 55 | |
| 11 | 2013 | 52 | |
| 12 | 2017 | 50 | |
| 13 | 2005 | 40 | |
| 14 | 2009 | 37 | |
| 15 | 2010 | 37 | |
| 16 | 2014 | 31 | |
| 17 | 2013 | 27 | |
| 18 | 2019 | 24 | |
| 19 | 2000 | 23 | |
| 20 | 2007 | 21 |
About Sergio Wong
Sergio Wong is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Computational Drug Discovery Methods (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Enzyme function and inhibition (3 papers), RNA and protein synthesis mechanisms (3 papers), CO2 Reduction Techniques and Catalysts (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Computational Theory and Mathematics (354 citations), Process Chemistry and Technology (56 citations), Toxicology (57 citations), Molecular Medicine (69 citations) and Molecular Biology (914 citations). Sergio Wong has collaborated with scholars based in United States, Türkiye and Israel. Frequent co-authors include Felice C. Lightstone, Xiaohua Zhang, Edmond Y. Lau, Matthew P. Jacobson, Daniel Kirshner, Jerome P. Nilmeier, Timothy S. Carpenter, J. Andrew McCammon, Rommie E. Amaro and Yue Yang. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry B, Journal of Computational Chemistry, Bioorganic & Medicinal Chemistry Letters and Expert Opinion on Drug Discovery.
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.