Janet M. Thornton
- Molecular Biology top 0.01%
- Protein Structure and Dynamics 256
- RNA and protein synthesis mechanisms 116
- Microbial Metabolic Engineering and Bioproduction 53
- Machine Learning in Bioinformatics 49
- Bioinformatics and Genomic Networks 40
- Genomics and Phylogenetic Studies 35
- Aging top 0.1%
- Computational Theory and Mathematics top 0.01%
- Computational Drug Discovery Methods 41
- Materials Chemistry top 0.05%
- Enzyme Structure and Function 177
- Biotechnology top 0.02%
- Co-authors
- Roman A. LaskowskiMalcolm W. MacArthurD. S. MossSusan R. JonesWilliam R. TaylorAndrew C. WallaceE. Gail HutchinsonChristine Orengo
- Journals
- Nature (14 papers)Science (2 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Janet M. Thornton
483 papers receiving 90.7k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Molecular Biology 70.9k
- Aging 1.3k
- Computational Theory and Mathematics 7.1k
- Materials Chemistry 20.5k
- Biotechnology 3.8k
Countries citing papers authored by Janet M. Thornton
This map shows the geographic impact of Janet M. Thornton'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 Janet M. Thornton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet M. Thornton more than expected).
Fields of papers citing papers by Janet M. Thornton
This network shows the impact of papers produced by Janet M. Thornton. 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 Janet M. Thornton. The network helps show where Janet M. Thornton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janet M. Thornton, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 44 | |
| 6 | 2018 | 41 | |
| 7 | 2017 | 28 | |
| 8 | PDBsum: Structural summaries of PDB entriesbreakdown → | 2017 | 1110 |
| 9 | Nanostructured Biomimetic Memristor Sensors Used for Therapeutic Monitoring of the Brain Cancer | 2014 | 1 |
| 10 | 2013 | 4 | |
| 11 | 2007 | 176 | |
| 12 | Morphological aspects of oligorneric protein structures | 2005 | 2 |
| 13 | 2003 | 85 | |
| 14 | 1999 | 68 | |
| 15 | Classifying a Protein Fold in the CATH Hierarchic Database | 1998 | 1 |
| 16 | 1997 | 182 | |
| 17 | Progress towards recognising protein folds from amino acid sequence | 1993 | 1 |
| 18 | Recent advances in photovoltaic applications for utilities | 1992 | 1 |
| 19 | 1986 | 9 | |
| 20 | AN INTEGRATING WINDOW PYRANOMETER FOR BEAM DAYLIGHTING MEASUREMENTS IN SCALE-MODEL BUILDINGS | 1985 | 2 |
About Janet M. Thornton
Janet M. Thornton is a scholar working on Aging, Molecular Biology and Materials Chemistry, having authored 488 papers that have together received 92.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (256 papers), Enzyme Structure and Function (177 papers), RNA and protein synthesis mechanisms (116 papers), Microbial Metabolic Engineering and Bioproduction (53 papers), Machine Learning in Bioinformatics (49 papers), Computational Drug Discovery Methods (41 papers), Bioinformatics and Genomic Networks (40 papers) and Genomics and Phylogenetic Studies (35 papers). The work is most often cited by research in Molecular Biology (70.9k citations), Aging (1.3k citations) and Computational Theory and Mathematics (7.1k citations). Janet M. Thornton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Roman A. Laskowski, Malcolm W. MacArthur, D. S. Moss, Susan R. Jones, William R. Taylor, Andrew C. Wallace, E. Gail Hutchinson, Christine Orengo, David J. Barlow and Robert Kaptein. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.