Christopher J. Williams

14.5k citations

33 papers · 4.4k indexed · 2 hit papers · h-index 17

Structural Biology top 1%
- Advanced Electron Microscopy Techniques and Applications 3
Molecular Biology top 2%
- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 6
- Chemical Synthesis and Analysis 2
Infectious Diseases top 5%
Cell Biology top 5%
Ecology top 5%
- Microbial Community Ecology and Physiology 2
Materials Chemistry
- Enzyme Structure and Function 12
- Machine Learning in Materials Science 2
Statistics and Probability
- Statistical Methods and Bayesian Inference 2

Co-authors: Jane S. Richardson David Richardson Vincent B. Chen Michael G. Prisant Paul D. Adams Lizbeth L. Videau D.A. Keedy W.B. Arendall
Cited by: Structural Biology Molecular Biology Infectious Diseases
Journals: Nucleic Acids Research (1 paper)Bioinformatics (1 paper)Journal of Molecular Biology (1 paper)
Partner nations: United States United Kingdom Canada

In The Last Decade

Christopher J. Williams

30 papers receiving 4.3k citations

Hit Papers

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Peers

Countries citing papers authored by Christopher J. Williams

Since Specialization

Citations

This map shows the geographic impact of Christopher J. Williams'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 J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Williams more than expected).

Fields of papers citing papers by Christopher J. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Williams. 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 J. Williams. The network helps show where Christopher J. Williams may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Christopher J. Williams, 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 Christopher J. Williams Line = papers co-authored together Christopher J. Williams links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Categorizing prediction modes within low-pLDDT regions of AlphaFold 2 structures: near-predictive, pseudostructure and barbed wire Acta Crystallographica Section D Structural Biology ·Christopher J. Williams,Vincent B. Chen,David C. Richardson,Jane S. Richardson	2025	0
2	Cis ‐ nonProline peptides: Genuine occurrences and their functional roles Protein Science ·Jane S. Richardson,Lizbeth L. Videau,Christopher J. Williams,Bradley J. Hintze,S. Mitchell Lewis,David Richardson	2025	0
3	New targets and procedures for validating the valence geometry of nucleic acid structures Nucleic Acids Research ·Jiří Černý,Robert A. Nicholls,Dariusz Brzeziński,Helen M. Berman,Mirosław Gilski,Robbie P Joosten,Marcin Kowiel,Catherine L Lawson,Nigel W. Moriarty,J P Richardson,Bohdan Schneider,(unknown),Christopher J. Williams,Mariusz Jaskólski,Martin Egli	2025	1
4	Benefit–Cost Analysis of the HHS COVID-19 Campaign: April 2021–March 2022 American Journal of Preventive Medicine ·Sidney C. Turner,Elissa C. Kranzler,Sarah Trigger,Aaron Kearsley,Joseph N. Luchman,Christopher J. Williams,Benjamin Denison,Heather Dahlen,Jae-Eun C. Kim,Morgane Bennett,Tyler Nighbor,Trinidad Beleche,Leah Hoffman,Joshua Peck	2024	2
5	The bad and the good of trends in model building and refinement for sparse-data regions: pernicious forms of overfitting versus good new tools and predictions Acta Crystallographica Section D Structural Biology ·Jane S. Richardson,Christopher J. Williams,Vincent B. Chen,Michael G. Prisant,David Richardson	2023	4
6	Accelerating crystal structure determination with iterative AlphaFold prediction Acta Crystallographica Section D Structural Biology ·Thomas C. Terwilliger,Pavel V. Afonine,Dorothée Liebschner,Tristan I. Croll,Airlie J. McCoy,Robert D. Oeffner,Christopher J. Williams,Billy K. Poon,Jane S. Richardson,Randy J. Read,Paul D. Adams	2023	34
7	Alphafold changes everything (and nothing) Acta Crystallographica Section A Foundations and Advances ·Thomas C. Terwilliger,Dorothée Liebschner,Tristan I. Croll,Christopher J. Williams,Airlie J. McCoy,Billy K. Poon,Pavel V. Afonine,Robert D. Oeffner,Christopher J. Schlicksup,Claudia Millán,Jane S. Richardson,Randy J. Read,Paul D. Adams	2023	1
8	AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determinationbreakdown → Nature Methods ·Thomas C. Terwilliger,Dorothée Liebschner,Tristan I. Croll,Christopher J. Williams,Airlie J. McCoy,Billy K. Poon,Pavel V. Afonine,Robert D. Oeffner,Jane S. Richardson,Randy J. Read,Paul D. Adams	2023	168
9	A map of the SARS-CoV-2 RNA structurome NAR Genomics and Bioinformatics ·Ryan J. Andrews,Collin A. O’Leary,Van S. Tompkins,Jake M. Peterson,Hafeez S. Haniff,Christopher J. Williams,Matthew D. Disney,Walter N. Moss	2021	44
10	The importance of residue‐level filtering and the Top2018 best‐parts dataset of high‐quality protein residues Protein Science ·Christopher J. Williams,David Richardson,Jane S. Richardson	2021	11
11	Improving SARS-CoV-2 structures: Peer review by early coordinate release Biophysical Journal ·Tristan I. Croll,Christopher J. Williams,Vincent B. Chen,David Richardson,Jane S. Richardson	2021	14
12	New tools in MolProbity validation: CaBLAM for CryoEM backbone, UnDowser to rethink “waters,” and NGL Viewer to recapture online 3D graphics Protein Science ·Michael G. Prisant,Christopher J. Williams,Vincent B. Chen,Jane S. Richardson,David Richardson	2019	99
13	Assessment of detailed conformations suggests strategies for improving cryoEM models: Helix at lower resolution, ensembles, pre-refinement fixups, and validation at multi-residue length scale Journal of Structural Biology ·Jane S. Richardson,Christopher J. Williams,Lizbeth L. Videau,Vincent B. Chen,David Richardson	2018	15
14	The relevance of phosphorylated forms of estrogen receptor in human breast cancer in vivo The Journal of Steroid Biochemistry and Molecular Biology ·Leigh C. Murphy,Georgios Skliris,Brian G. Rowan,Mariam Al-Dhaheri,Christopher J. Williams,Carla Penner,Sandy Troup,Sanela Begic,Michelle Parisien,Peter H. Watson	2009	28
15	The other 90% of the protein: Assessment beyond the Cαs for CASP8 template‐based and high‐accuracy models Proteins Structure Function and Bioinformatics ·D.A. Keedy,Christopher J. Williams,Jeffrey J. Headd,W.B. Arendall,Vincent B. Chen,Gary J. Kapral,Robert A. Gillespie,Jeremy N. Block,Adam Zemła,David Richardson,Jane S. Richardson	2009	61
16	Immunohistochemical validation of multiple phospho-specific epitopes for estrogen receptor α (ERα) in tissue microarrays of ERα positive human breast carcinomas Breast Cancer Research and Treatment ·G. Skliris,Brian G. Rowan,Mariam Al-Dhaheri,Christopher J. Williams,Sandy Troup,Sanela Begic,Michelle Parisien,Peter H. Watson,Leigh C. Murphy	2008	34
17	The Influence of Twin Pair Permutation on Likelihood-Based-Estimates of Genetic Variance That Require Ordering of Twin-Pairs Behavior Genetics ·Enda M. Byrne,Maria Stillitano,Christopher J. Williams,Joe C. Christian	2007	0
18	Statistical methods for characterizing diversity of microbial communities by analysis of terminal restriction fragment length polymorphisms of 16S rRNA genes Environmental Microbiology ·Zaid Abdo,Ursel M.E. Schüette,Stephen J. Bent,Christopher J. Williams,Larry J. Forney,Paul Joyce	2005	369
19	Approximate solutions for the maximum-likelihood estimates in models of univariate human twin data Behavior Genetics ·U. W. L. Wijesiri,Christopher J. Williams	1995	2
20	Social contact and sibling similarity: Facts, issues, and red herrings Behavior Genetics ·Richard J. Rose,Jaakko Kaprio,Christopher J. Williams,Richard J. Viken,Karen M. Obremski	1990	64

About Christopher J. Williams

Christopher J. Williams is a scholar working on Structural Biology, Molecular Biology and Materials Chemistry, having authored 33 papers that have together received 4.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (12 papers), Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (6 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Chemical Synthesis and Analysis (2 papers), Machine Learning in Materials Science (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Structural Biology (161 citations), Molecular Biology (2.8k citations) and Infectious Diseases (357 citations). Christopher J. Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jane S. Richardson, David Richardson, Vincent B. Chen, Michael G. Prisant, Paul D. Adams, Lizbeth L. Videau, D.A. Keedy, W.B. Arendall, Jeffrey J. Headd and Bradley J. Hintze. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

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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