Christopher Churas
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in ⓘ
-
- Cell Image Analysis Techniques 2
- Co-authors
- Dexter Pratt (8 shared papers)Matthew Madany (1 shared paper)Eric A. Bushong (1 shared paper)Matthias G. Haberl (1 shared paper)Daniela Boassa (1 shared paper)Sébastien Phan (2 shared papers)Thomas J. Deerinck (1 shared paper)Mark H. Ellisman (2 shared papers)
- Journals
- Nature Methods (1 paper)Journal of Structural Biology (1 paper)Journal of Bacteriology (1 paper)PLoS Computational Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Christopher Churas
13 papers receiving 443 citations
Peers
Comparison fields: 5 of 96
- Structural Biology 29
- Biophysics 77
- Molecular Biology 269
- Media Technology 25
- Computational Theory and Mathematics 35
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 | 126 | |
| 2 | 2018 | 117 | |
| 3 | 2004 | 53 | |
| 4 | 2019 | 36 | |
| 5 | 2020 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2017 | 1 |
About Christopher Churas
Christopher Churas is a scholar working on Structural Biology, Biophysics, Endocrinology, Molecular Biology and Surfaces, Coatings and Films, having authored 13 papers that have together received 449 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers), Cell Image Analysis Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Complex Network Analysis Techniques (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Structural Biology (29 citations), Biophysics (77 citations), Molecular Biology (269 citations), Media Technology (25 citations) and Computational Theory and Mathematics (35 citations). Christopher Churas has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Dexter Pratt, Matthew Madany, Eric A. Bushong, Matthias G. Haberl, Daniela Boassa, Sébastien Phan, Thomas J. Deerinck, Mark H. Ellisman, Steven T. Peltier and David C. Schwartz. Their work appears in journals such as Nature Methods, Journal of Structural Biology, Journal of Bacteriology, PLoS Computational Biology and Bioinformatics.
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.