Thomas Thorne
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
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- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 10
- Gene Regulatory Network Analysis 7
- Microbial Metabolic Engineering and Bioproduction 5
- Gene expression and cancer classification 3
- Fungal and yeast genetics research 3
- Co-authors
- Michael P. H. Stumpf (19 shared papers)Carsten Wiuf (3 shared papers)Eric de Silva (2 shared papers)Michael Lappé (1 shared paper)R. J. C. Stewart (1 shared paper)Paul Kirk (4 shared papers)Chris P. Barnes (2 shared papers)Sarah L. Filippi (1 shared paper)
- Journals
- Bioinformatics (3 papers)BMC Bioinformatics (3 papers)Proceedings of the National Academy of Sciences (3 papers)Scientific Reports (2 papers)Fungal Genetics and Biology (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Thomas Thorne
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 899
- Computational Theory and Mathematics 173
- Statistical and Nonlinear Physics 87
- Statistics and Probability 57
- Biophysics 27
Countries citing papers authored by Thomas Thorne
This map shows the geographic impact of Thomas Thorne'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 Thomas Thorne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Thorne more than expected).
Fields of papers citing papers by Thomas Thorne
This network shows the impact of papers produced by Thomas Thorne. 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 Thomas Thorne. The network helps show where Thomas Thorne may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Thorne, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 625 | |
| 2 | 2013 | 92 | |
| 3 | 2012 | 75 | |
| 4 | 2006 | 59 | |
| 5 | 2010 | 50 | |
| 6 | 2012 | 46 | |
| 7 | 2007 | 43 | |
| 8 | 2020 | 35 | |
| 9 | 2012 | 31 | |
| 10 | 2012 | 31 | |
| 11 | 2018 | 31 | |
| 12 | 2012 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2022 | 19 | |
| 15 | 2018 | 18 | |
| 16 | 2012 | 16 | |
| 17 | 2007 | 15 | |
| 18 | 2006 | 12 | |
| 19 | 2016 | 8 | |
| 20 | 2010 | 8 |
About Thomas Thorne
Thomas Thorne is a scholar working on Molecular Biology, Statistics and Probability, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Genetics, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Complex Network Analysis Techniques (4 papers), Gene expression and cancer classification (3 papers), Fungal and yeast genetics research (3 papers), Bayesian Methods and Mixture Models (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Molecular Biology (899 citations), Computational Theory and Mathematics (173 citations), Statistical and Nonlinear Physics (87 citations), Statistics and Probability (57 citations) and Biophysics (27 citations). Thomas Thorne has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Michael P. H. Stumpf, Carsten Wiuf, Eric de Silva, Michael Lappé, R. J. C. Stewart, Paul Kirk, Chris P. Barnes, Sarah L. Filippi, Huizhi Liang and Maxime Huvet. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Proceedings of the National Academy of Sciences, Scientific Reports and Fungal Genetics and 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.