William S. Hlavacek
- Molecular Biology top 2%
- Immunology top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- James R. FaederMichael L. BlinovByron GoldsteinMichael A. SavageauRichard G. PosnerAlan S. PerelsonMichael E. WallCarla Wofsy
- Topics
- Gene Regulatory Network Analysis (40 papers)Microbial Metabolic Engineering and Bioproduction (21 papers)Bioinformatics and Genomic Networks (19 papers)
- Cited by
- Molecular BiologyBiophysicsVirology
- 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
- Immunology 522
- Computational Theory and Mathematics 426
- Genetics 402
- Radiology, Nuclear Medicine and Imaging 356
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 of co-authors of William S. Hlavacek
This figure shows the co-authorship network connecting the top 25 collaborators of William S. Hlavacek. A scholar is included among the top collaborators of William S. Hlavacek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William S. Hlavacek. William S. Hlavacek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 27 | |
| 5 | 40 | |
| 6 | 1 | |
| 7 | 66 | |
| 8 | 19 | |
| 9 | 57 | |
| 10 | 22 | |
| 11 | 27 | |
| 12 | 29 | |
| 13 | 24 | |
| 14 | 44 | |
| 15 | 14 | |
| 16 | 73 | |
| 17 | 105 | |
| 18 | 46 | |
| 19 | 125 | |
| 20 | 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) and Bioinformatics and Genomic Networks (19 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 Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.