Erik McKee
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
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- Enzyme Structure and Function 5
- Machine Learning in Materials Science 1
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- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 1
- Co-authors
- James C. Sacchettini (5 shared papers)Thomas R. Ioerger (5 shared papers)Ralf W. Grosse‐Kunstleve (2 shared papers)Paul D. Adams (2 shared papers)Pavel V. Afonine (1 shared paper)Randy J. Read (1 shared paper)Li‐Wei Hung (1 shared paper)Nicholas K. Sauter (1 shared paper)
- Journals
- Journal of Science Education and Technology (1 paper)IEEE Intelligent Systems (1 paper)Bioinformatics (1 paper)Methods in molecular biology (1 paper)Innovative Applications of Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Erik McKee
5 papers receiving 541 citations
Erik McKee's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Medicine 27
- Molecular Biology 370
- Endocrinology 19
- Cell Biology 55
- Virology 14
Countries citing papers authored by Erik McKee
This map shows the geographic impact of Erik McKee'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 Erik McKee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik McKee more than expected).
Fields of papers citing papers by Erik McKee
This network shows the impact of papers produced by Erik McKee. 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 Erik McKee. The network helps show where Erik McKee may publish in the future.
Co-authors
The 19 scholars most cited alongside Erik McKee, 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 | Automated Structure Solution with the PHENIX Suite Hit paper breakdown → | 2008 | 494 |
| 2 | 2007 | 46 | |
| 3 | 2006 | 4 | |
| 4 | 2005 | 4 | |
| 5 | 2005 | 3 | |
| 6 | TEXTAL™: automated crystallographic protein structure determination | 2005 | 1 |
About Erik McKee
Erik McKee is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Safety Research and Physical and Theoretical Chemistry, having authored 6 papers that have together received 552 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (2 papers), Glycosylation and Glycoproteins Research (1 paper), Education, Safety, and Science Studies (1 paper), Science Education and Pedagogy (1 paper), Machine Learning in Materials Science (1 paper) and Various Chemistry Research Topics (1 paper). The work is most often cited by research in Molecular Medicine (27 citations), Molecular Biology (370 citations), Endocrinology (19 citations), Cell Biology (55 citations) and Virology (14 citations). Erik McKee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James C. Sacchettini, Thomas R. Ioerger, Ralf W. Grosse‐Kunstleve, Paul D. Adams, Pavel V. Afonine, Randy J. Read, Li‐Wei Hung, Nicholas K. Sauter, Laurent C. Storoni and Airlie J. McCoy. Their work appears in journals such as Journal of Science Education and Technology, IEEE Intelligent Systems, Bioinformatics, Methods in molecular biology and Innovative Applications of Artificial Intelligence.
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.