Jeffrey J. Headd

58.9k citations
20 papers · 39.1k indexed · 5 hit papers · h-index 17

Impact in

    • 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

Jeffrey J. Headd

19 papers receiving 39.0k citations

Hit Papers

MolProbity: More and better reference data for improved all‐atom structure validation 2017 · 2.8k citations
2.8k20092026201420205.0k10.0k15.0k

Peers

Jeffrey J. Headd
Comparison fields: 5 of 175
  • Structural Biology 727
  • Molecular Biology 28.2k
  • Molecular Medicine 1.1k
  • Biotechnology 1.8k
  • Endocrinology 1.0k
Replace Nigel W. Moriarty with:
Nigel W. Moriarty United States
Vincent B. Chen United States
Gary J. Kapral United States
Martyn Winn United Kingdom
Pavel V. Afonine United States
Peter H. Zwart United States
Garib N. Murshudov United Kingdom
Li‐Wei Hung United States
Nathaniel Echols United States
Thomas C. Terwilliger United States
Jeffrey J. Headd relative to Nigel W. Moriarty United States Nigel W. Moriarty's profile →
Citations per field
00.5×1.5×
Nigel W. Moriarty · 1×
Citations per year

Countries citing papers authored by Jeffrey J. Headd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jeffrey J. Headd Line = papers co-authored together Jeffrey J. Headd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201911
2 201818
3
MolProbity: More and better reference data for improved all‐atom structure validation
Hit paper breakdown →
20172815
4 201710
5 201420
6 20140
7 2013146
8 201340
9 2012195
10
Towards automated crystallographic structure refinement with phenix.refine
Hit paper breakdown →
20124181
11 2012126
12 201149
13
The Phenix software for automated determination of macromolecular structures
Hit paper breakdown →
2011691
14
PHENIX: a comprehensive Python-based system for macromolecular structure solution
Hit paper breakdown →
201018966
15 2010105
16
MolProbity: all-atom structure validation for macromolecular crystallography
Hit paper breakdown →
200911415
17 200961
18 2008202
19 200828
20 200724

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.

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