Charlie E. M. Strauss
- Molecular Biology top 2%
- Materials Chemistry top 5%
- Spectroscopy top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- David BakerCarol A. RohlKira M.S. MisuraDylan ChivianOsvaldo OlmeaÁngel R. OrtízRichard BonneauPaul L. Houston
- Topics
- Protein Structure and Dynamics (18 papers)Enzyme Structure and Function (17 papers)RNA and protein synthesis mechanisms (10 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Charlie E. M. Strauss
47 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 3.0k
- Materials Chemistry 1.3k
- Spectroscopy 401
- Atomic and Molecular Physics, and Optics 300
- Computational Theory and Mathematics 292
Countries citing papers authored by Charlie E. M. Strauss
This map shows the geographic impact of Charlie E. M. Strauss'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 Charlie E. M. Strauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlie E. M. Strauss more than expected).
Fields of papers citing papers by Charlie E. M. Strauss
This network shows the impact of papers produced by Charlie E. M. Strauss. 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 Charlie E. M. Strauss. The network helps show where Charlie E. M. Strauss may publish in the future.
Co-authorship network of co-authors of Charlie E. M. Strauss
This figure shows the co-authorship network connecting the top 25 collaborators of Charlie E. M. Strauss. A scholar is included among the top collaborators of Charlie E. M. Strauss 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 Charlie E. M. Strauss. Charlie E. M. Strauss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 4 | |
| 3 | 26 | |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | 57 | |
| 8 | 139 | |
| 9 | 4 | |
| 10 | 144 | |
| 11 | 37 | |
| 12 | 68 | |
| 13 | 7 | |
| 14 | Protein Structure Prediction Using Rosettabreakdown → | 1273 |
| 15 | 255 | |
| 16 | 190 | |
| 17 | 375 | |
| 18 | 145 | |
| 19 | 69 | |
| 20 | 8 |
About Charlie E. M. Strauss
Charlie E. M. Strauss is a scholar working on Structural Biology, Molecular Biology and Materials Chemistry, having authored 47 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (17 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Structural Biology (41 citations) and Materials Chemistry (1.3k citations). Charlie E. M. Strauss has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include David Baker, Carol A. Rohl, Kira M.S. Misura, Dylan Chivian, Osvaldo Olmea, Ángel R. Ortíz, Richard Bonneau, Paul L. Houston, Ramesh K. Jha and Kim T. Simons. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.