Michael Hucka
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- Scientific Computing and Data Management 13
- Molecular Biology top 2%
- Gene Regulatory Network Analysis 39
- Microbial Metabolic Engineering and Bioproduction 32
- Bioinformatics and Genomic Networks 31
- Genetics, Bioinformatics, and Biomedical Research 4
- Biophysics top 1%
- Cell Image Analysis Techniques 4
- Software top 5%
- Model-Driven Software Engineering Techniques 3
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- Distributed and Parallel Computing Systems 3
- Co-authors
- Andrew FinneySarah KeatingNicolas Le NovèreBenjamin BornsteinHerbert M. SauroJacky L. SnoepAkiya JourakuJohn C. Doyle
- Journals
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (14 papers)Bioinformatics (7 papers)BMC Systems Biology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael Hucka
55 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 147
- Information Systems and Management 315
- Molecular Biology 2.6k
- Biophysics 219
- Computational Theory and Mathematics 259
- Software 56
Countries citing papers authored by Michael Hucka
This map shows the geographic impact of Michael Hucka'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 Michael Hucka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hucka more than expected).
Fields of papers citing papers by Michael Hucka
This network shows the impact of papers produced by Michael Hucka. 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 Michael Hucka. The network helps show where Michael Hucka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Hucka, 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 | 2022 | 4 | |
| 2 | 2020 | 5 | |
| 3 | 2020 | 3 | |
| 4 | 2020 | 15 | |
| 5 | 2019 | 5 | |
| 6 | 2017 | 0 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 5 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 51 | |
| 11 | 2015 | 29 | |
| 12 | 2014 | 91 | |
| 13 | 2014 | 205 | |
| 14 | 2010 | 374 | |
| 15 | 2009 | 13 | |
| 16 | 2006 | 13 | |
| 17 | 2005 | 390 | |
| 18 | 2003 | 130 | |
| 19 | 2003 | 198 | |
| 20 | Systems Biology Workbench C++ Programmer's Manual | 2002 | 1 |
About Michael Hucka
Michael Hucka is a scholar working on Information Systems and Management, Software and Biophysics, having authored 57 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (39 papers), Microbial Metabolic Engineering and Bioproduction (32 papers), Bioinformatics and Genomic Networks (31 papers), Scientific Computing and Data Management (13 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Cell Image Analysis Techniques (4 papers), Model-Driven Software Engineering Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Information Systems and Management (315 citations), Molecular Biology (2.6k citations) and Biophysics (219 citations). Michael Hucka has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew Finney, Sarah Keating, Nicolas Le Novère, Benjamin Bornstein, Herbert M. Sauro, Jacky L. Snoep, Akiya Jouraku, John C. Doyle, Hiroaki Kitano and Frank Bergmann. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Bioinformatics, BMC Systems Biology, Biochemical Society Transactions and Neurocomputing.
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.