William S. Hlavacek
- Molecular Biology top 2%
- Gene Regulatory Network Analysis 40
- Microbial Metabolic Engineering and Bioproduction 21
- Bioinformatics and Genomic Networks 19
- Receptor Mechanisms and Signaling 18
- Protein Structure and Dynamics 8
- Biophysics top 2%
- Virology top 5%
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- Computational Drug Discovery Methods 14
- Immunology top 5%
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- Monoclonal and Polyclonal Antibodies Research 16
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- Bacterial Genetics and Biotechnology 7
- Co-authors
- James R. FaederMichael L. BlinovByron GoldsteinMichael A. SavageauRichard G. PosnerAlan S. PerelsonMichael E. WallCarla Wofsy
- Cited by
- Molecular BiologyBiophysicsVirology
- Journals
- Bioinformatics (9 papers)Journal of Molecular Biology (5 papers)Biophysical Journal (5 papers)
- Partner nations
- United StatesPolandAustralia
In The Last Decade
William S. Hlavacek
98 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 2.9k
- Biophysics 178
- Virology 144
- Computational Theory and Mathematics 426
- Immunology 522
Countries citing papers authored by William S. Hlavacek
This map shows the geographic impact of William S. Hlavacek'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 S. Hlavacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Hlavacek more than expected).
Fields of papers citing papers by William S. Hlavacek
This network shows the impact of papers produced by William S. Hlavacek. 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 S. Hlavacek. The network helps show where William S. Hlavacek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William S. Hlavacek, 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 | 2023 | 0 | |
| 2 | 2020 | 3 | |
| 3 | 2018 | 14 | |
| 4 | 2017 | 27 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 1 | |
| 7 | 2015 | 66 | |
| 8 | 2013 | 19 | |
| 9 | 2013 | 57 | |
| 10 | 2013 | 22 | |
| 11 | 2012 | 27 | |
| 12 | 2011 | 29 | |
| 13 | 2011 | 24 | |
| 14 | 2010 | 44 | |
| 15 | 2008 | 14 | |
| 16 | 2008 | 73 | |
| 17 | 2005 | 105 | |
| 18 | 2005 | 46 | |
| 19 | 2003 | 125 | |
| 20 | 1999 | 124 |
About William S. Hlavacek
William S. Hlavacek is a scholar working on Molecular Biology, Modeling and Simulation and Computational Theory and Mathematics, having authored 103 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (40 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), Bioinformatics and Genomic Networks (19 papers), Receptor Mechanisms and Signaling (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (8 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Biophysics (178 citations) and Virology (144 citations). William S. Hlavacek has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include James R. Faeder, Michael L. Blinov, Byron Goldstein, Michael A. Savageau, Richard G. Posner, Alan S. Perelson, Michael E. Wall, Carla Wofsy, Dipak Barua and Jin Yang. Their work appears in journals such as Bioinformatics, Journal of Molecular Biology, Biophysical Journal, Physical Biology and PLoS Computational Biology.
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.