Christopher Churas
Impact in
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
- DNA Repair Mechanisms 1
- Genetics 3
- Genomics and Rare Diseases 1
- Co-authors
- Dexter Pratt (8 shared papers)Trey Ideker (6 shared papers)Matthew Madany (1 shared paper)Eric A. Bushong (1 shared paper)Mark H. Ellisman (2 shared papers)Steven T. Peltier (1 shared paper)Daniela Boassa (1 shared paper)Thomas J. Deerinck (1 shared paper)
- Journals
- Molecular Systems Biology (1 paper)Nature Protocols (1 paper)Bioinformatics (1 paper)Journal of Structural Biology (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Christopher Churas
13 papers receiving 491 citations
Peers
Comparison fields: 5 of 95
- Structural Biology 29
- Biophysics 78
- Molecular Biology 259
- Media Technology 26
- Computational Theory and Mathematics 37
Countries citing papers authored by Christopher Churas
This map shows the geographic impact of Christopher Churas'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 Christopher Churas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Churas more than expected).
Fields of papers citing papers by Christopher Churas
This network shows the impact of papers produced by Christopher Churas. 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 Christopher Churas. The network helps show where Christopher Churas may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Churas, 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 | 2010 | 133 | |
| 2 | 2018 | 122 | |
| 3 | 2004 | 58 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2021 | 28 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 15 | |
| 10 | 2025 | 14 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 4 | |
| 13 | 2017 | 1 |
About Christopher Churas
Christopher Churas is a scholar working on Molecular Biology, Genetics, Biophysics, Computational Theory and Mathematics and Structural Biology, having authored 13 papers that have together received 500 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (2 papers), Computational Drug Discovery Methods (2 papers), Gene Regulatory Network Analysis (2 papers), Cell Image Analysis Techniques (2 papers), AI in cancer detection (1 paper), Genomics and Rare Diseases (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Structural Biology (29 citations), Biophysics (78 citations), Molecular Biology (259 citations), Media Technology (26 citations) and Computational Theory and Mathematics (37 citations). Christopher Churas has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Dexter Pratt, Trey Ideker, Matthew Madany, Eric A. Bushong, Mark H. Ellisman, Steven T. Peltier, Daniela Boassa, Thomas J. Deerinck, Matthias G. Haberl and Sébastien Phan. Their work appears in journals such as Molecular Systems Biology, Nature Protocols, Bioinformatics, Journal of Structural Biology and Cell Systems.
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.