Nathaniel Echols
- Structural Biology top 0.2%
- Molecular Biology top 0.05%
- Protein Structure and Dynamics 25
- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 6
- Biochemical and Molecular Research 4
- Machine Learning in Bioinformatics 3
- Molecular Medicine top 0.5%
- Endocrinology top 0.5%
- Cell Biology top 0.2%
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- Enzyme Structure and Function 29
- Machine Learning in Materials Science 5
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- Advanced X-ray Imaging Techniques 4
- Co-authors
- Paul D. AdamsThomas C. TerwilligerJeffrey J. HeaddPavel V. AfonineNigel W. MoriartyRalf W. Grosse‐KunstlevePeter H. ZwartRandy J. Read
- Journals
- Protein Science (4 papers)Nature Methods (3 papers)Journal of Applied Crystallography (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Nathaniel Echols
42 papers receiving 27.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Structural Biology 639
- Molecular Biology 20.1k
- Molecular Medicine 792
- Endocrinology 723
- Cell Biology 2.3k
Countries citing papers authored by Nathaniel Echols
This map shows the geographic impact of Nathaniel Echols'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 Nathaniel Echols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Echols more than expected).
Fields of papers citing papers by Nathaniel Echols
This network shows the impact of papers produced by Nathaniel Echols. 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 Nathaniel Echols. The network helps show where Nathaniel Echols may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathaniel Echols, 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 | 2025 | 2 | |
| 2 | EMRinger: side chain–directed model and map validation for 3D cryo-electron microscopybreakdown → | 2015 | 568 |
| 3 | 2015 | 20 | |
| 4 | 2014 | 34 | |
| 5 | 2013 | 200 | |
| 6 | 2013 | 146 | |
| 7 | 2012 | 195 | |
| 8 | Towards automated crystallographic structure refinement with phenix.refinebreakdown → | 2012 | 4181 |
| 9 | 2012 | 112 | |
| 10 | 2010 | 48 | |
| 11 | 2007 | 31 | |
| 12 | 2007 | 32 | |
| 13 | 2005 | 77 | |
| 14 | 2005 | 119 | |
| 15 | 2003 | 151 | |
| 16 | 2002 | 14 | |
| 17 | 2002 | 154 | |
| 18 | 2002 | 214 | |
| 19 | 2002 | 80 | |
| 20 | 2002 | 111 |
About Nathaniel Echols
Nathaniel Echols is a scholar working on Structural Biology, Materials Chemistry and Molecular Biology, having authored 43 papers that have together received 27.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (29 papers), Protein Structure and Dynamics (25 papers), RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (6 papers), Machine Learning in Materials Science (5 papers), Advanced X-ray Imaging Techniques (4 papers), Biochemical and Molecular Research (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Structural Biology (639 citations), Molecular Biology (20.1k citations) and Molecular Medicine (792 citations). Nathaniel Echols has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Paul D. Adams, Thomas C. Terwilliger, Jeffrey J. Headd, Pavel V. Afonine, Nigel W. Moriarty, Ralf W. Grosse‐Kunstleve, Peter H. Zwart, Randy J. Read, G. Bunkóczi and Airlie J. McCoy. Their work appears in journals such as Protein Science, Nature Methods, Journal of Applied Crystallography, Journal of Molecular Biology 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.