William Sinko
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
Papers in
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- Computational Drug Discovery Methods 6
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- Microbial Natural Products and Biosynthesis 4
- Co-authors
- J. Andrew McCammonYinglong MiaoLevi PierceSteffen LindertRoss C. WalkerDenis BucherCésar Augusto F. de OliveiraFerran Feixas
- Journals
- Journal of Medicinal Chemistry (3 papers)Journal of Chemical Theory and Computation (3 papers)The Journal of Physical Chemistry B (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- United StatesJapanSweden
In The Last Decade
William Sinko
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 244
- Molecular Biology 797
- Pharmacology 124
- Spectroscopy 121
- Molecular Medicine 18
Countries citing papers authored by William Sinko
This map shows the geographic impact of William Sinko'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 William Sinko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Sinko more than expected).
Fields of papers citing papers by William Sinko
This network shows the impact of papers produced by William Sinko. 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 William Sinko. The network helps show where William Sinko may publish in the future.
Co-authors
The 25 scholars most cited alongside William Sinko, 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 | 2024 | 12 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2018 | 8 | |
| 6 | 2017 | 75 | |
| 7 | 2014 | 341 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 32 | |
| 10 | 2013 | 118 | |
| 11 | 2013 | 83 | |
| 12 | 2012 | 88 | |
| 13 | 2012 | 81 | |
| 14 | 2012 | 37 | |
| 15 | 2011 | 2 | |
| 16 | 2011 | 36 | |
| 17 | 2011 | 31 | |
| 18 | 2010 | 65 | |
| 19 | 2009 | 13 |
About William Sinko
William Sinko is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Structure and Function (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Biochemical and Molecular Research (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (244 citations), Molecular Biology (797 citations), Pharmacology (124 citations), Spectroscopy (121 citations) and Molecular Medicine (18 citations). William Sinko has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include J. Andrew McCammon, Yinglong Miao, Levi Pierce, Steffen Lindert, Ross C. Walker, Denis Bucher, César Augusto F. de Oliveira, Ferran Feixas, Emma Sierecki and Alexandra C. Newton. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences and Journal of Allergy and Clinical Immunology.
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.