Nicholas P. Gauthier
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- Bioinformatics and Genomic Networks 4
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 4
- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 3
- Protein Structure and Dynamics 2
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- Computational Drug Discovery Methods 3
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Chris SanderMartin L. MillerAnil KorkutDebora S. MarksSøren BrunakLars Juhl JensenRasmus WernerssonKelly P. Brock
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Nicholas P. Gauthier
17 papers receiving 652 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 510
- Cancer Research 103
- Biophysics 22
- Genetics 92
- Computational Theory and Mathematics 42
Countries citing papers authored by Nicholas P. Gauthier
This map shows the geographic impact of Nicholas P. Gauthier'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 Nicholas P. Gauthier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas P. Gauthier more than expected).
Fields of papers citing papers by Nicholas P. Gauthier
This network shows the impact of papers produced by Nicholas P. Gauthier. 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 Nicholas P. Gauthier. The network helps show where Nicholas P. Gauthier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas P. Gauthier, 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 | 2025 | 10 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 91 | |
| 9 | 2018 | 11 | |
| 10 | 2015 | 19 | |
| 11 | 2015 | 86 | |
| 12 | 2013 | 46 | |
| 13 | 2013 | 120 | |
| 14 | 2013 | 45 | |
| 15 | 2009 | 49 | |
| 16 | A simulator to explore the role of haptic feedback in cataract surgery training. | 2008 | 10 |
| 17 | 2007 | 49 | |
| 18 | 2007 | 55 | |
| 19 | 1994 | 5 |
About Nicholas P. Gauthier
Nicholas P. Gauthier is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics, having authored 19 papers that have together received 655 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Computational Drug Discovery Methods (3 papers), Gene Regulatory Network Analysis (3 papers), Gene expression and cancer classification (3 papers), Protein Structure and Dynamics (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (510 citations), Cancer Research (103 citations) and Biophysics (22 citations). Nicholas P. Gauthier has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Chris Sander, Martin L. Miller, Anil Korkut, Debora S. Marks, Søren Brunak, Lars Juhl Jensen, Rasmus Wernersson, Kelly P. Brock, Frank J. Poelwijk and Michael A. Stiffler. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.
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.