Jeffrey J. Headd
Impact in
- Structural Biology top 0.2%
- Molecular Biology top 0.05%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA modifications and cancer
- Biochemical and Molecular Research
- RNA Research and Splicing
Papers in
-
- Enzyme Structure and Function 16
- Machine Learning in Materials Science 3
-
- Protein Structure and Dynamics 15
- Biochemical and Molecular Research 3
- RNA and protein synthesis mechanisms 3
- Co-authors
- David RichardsonJane S. RichardsonVincent B. ChenGary J. KapralPaul D. AdamsNigel W. MoriartyNathaniel EcholsPavel V. Afonine
- Journals
- Protein Science (2 papers)Journal of Applied Crystallography (2 papers)Nature Methods (1 paper)Methods (1 paper)Spine (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jeffrey J. Headd
19 papers receiving 39.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Structural Biology 727
- Molecular Biology 28.2k
- Molecular Medicine 1.1k
- Biotechnology 1.8k
- Endocrinology 1.0k
Countries citing papers authored by Jeffrey J. Headd
This map shows the geographic impact of Jeffrey J. Headd'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 Jeffrey J. Headd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey J. Headd more than expected).
Fields of papers citing papers by Jeffrey J. Headd
This network shows the impact of papers produced by Jeffrey J. Headd. 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 Jeffrey J. Headd. The network helps show where Jeffrey J. Headd may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey J. Headd, 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 | 2019 | 11 | |
| 2 | 2018 | 18 | |
| 3 | MolProbity: More and better reference data for improved all‐atom structure validation Hit paper breakdown → | 2017 | 2815 |
| 4 | 2017 | 10 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 0 | |
| 7 | 2013 | 146 | |
| 8 | 2013 | 40 | |
| 9 | 2012 | 195 | |
| 10 | Towards automated crystallographic structure refinement with phenix.refine Hit paper breakdown → | 2012 | 4181 |
| 11 | 2012 | 126 | |
| 12 | 2011 | 49 | |
| 13 | The Phenix software for automated determination of macromolecular structures Hit paper breakdown → | 2011 | 691 |
| 14 | PHENIX: a comprehensive Python-based system for macromolecular structure solution Hit paper breakdown → | 2010 | 18966 |
| 15 | 2010 | 105 | |
| 16 | MolProbity: all-atom structure validation for macromolecular crystallography Hit paper breakdown → | 2009 | 11415 |
| 17 | 2009 | 61 | |
| 18 | 2008 | 202 | |
| 19 | 2008 | 28 | |
| 20 | 2007 | 24 |
About Jeffrey J. Headd
Jeffrey J. Headd is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Radiation and Cancer Research, having authored 20 papers that have together received 39.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (16 papers), Protein Structure and Dynamics (15 papers), Computational Drug Discovery Methods (3 papers), Biochemical and Molecular Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Materials Science (3 papers), Advanced X-ray Imaging Techniques (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Structural Biology (727 citations), Molecular Biology (28.2k citations), Molecular Medicine (1.1k citations), Biotechnology (1.8k citations) and Endocrinology (1.0k citations). Jeffrey J. Headd has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David Richardson, Jane S. Richardson, Vincent B. Chen, Gary J. Kapral, Paul D. Adams, Nigel W. Moriarty, Nathaniel Echols, Pavel V. Afonine, Thomas C. Terwilliger and Peter H. Zwart. Their work appears in journals such as Protein Science, Journal of Applied Crystallography, Nature Methods, Methods and Spine.
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.