Lucy J. Colwell
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computational Theory and Mathematics top 2%
- Genetics top 10%
- Co-authors
- Robert P. SheridanThomas A. HopfDebora S. MarksChris SanderL. MitchellAndrea PagnaniRiccardo ZecchinaBurkhard Rost
- Topics
- Protein Structure and Dynamics (17 papers)RNA and protein synthesis mechanisms (13 papers)Machine Learning in Bioinformatics (12 papers)
- Cited by
- Molecular BiologyComputational Theory and MathematicsRadiology, Nuclear Medicine and Imaging
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Lucy J. Colwell
42 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.5k
- Materials Chemistry 527
- Radiology, Nuclear Medicine and Imaging 366
- Computational Theory and Mathematics 318
- Genetics 312
Countries citing papers authored by Lucy J. Colwell
This map shows the geographic impact of Lucy J. Colwell'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 Lucy J. Colwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy J. Colwell more than expected).
Fields of papers citing papers by Lucy J. Colwell
This network shows the impact of papers produced by Lucy J. Colwell. 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 Lucy J. Colwell. The network helps show where Lucy J. Colwell may publish in the future.
Co-authorship network of co-authors of Lucy J. Colwell
This figure shows the co-authorship network connecting the top 25 collaborators of Lucy J. Colwell. A scholar is included among the top collaborators of Lucy J. Colwell 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 Lucy J. Colwell. Lucy J. Colwell 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 | 49 | |
| 3 | 1 | |
| 4 | Predicting multiple conformations via sequence clustering and AlphaFold2breakdown → | 233 |
| 5 | 82 | |
| 6 | 34 | |
| 7 | 4 | |
| 8 | Using deep learning to annotate the protein universebreakdown → | 164 |
| 9 | Model-based reinforcement learning for biological sequence design | 19 |
| 10 | Evaluating Attribution for Graph Neural Networks | 31 |
| 11 | 60 | |
| 12 | 6 | |
| 13 | 40 | |
| 14 | 47 | |
| 15 | 87 | |
| 16 | 25 | |
| 17 | 4 | |
| 18 | Protein 3D Structure Computed from Evolutionary Sequence Variationbreakdown → | 762 |
| 19 | 22 | |
| 20 | 0 |
About Lucy J. Colwell
Lucy J. Colwell is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomaterials, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), RNA and protein synthesis mechanisms (13 papers) and Machine Learning in Bioinformatics (12 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Computational Theory and Mathematics (318 citations) and Radiology, Nuclear Medicine and Imaging (366 citations). Lucy J. Colwell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robert P. Sheridan, Thomas A. Hopf, Debora S. Marks, Chris Sander, L. Mitchell, Andrea Pagnani, Riccardo Zecchina, Burkhard Rost, Michael P. Brenner and Maxwell L. Bileschi. Their work appears in journals such as Nature, Cell 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.