Christopher J. Williams

14.5k citations

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

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
Topics: Enzyme Structure and Function (12 papers)Protein Structure and Dynamics (9 papers)RNA and protein synthesis mechanisms (6 papers)
Cited by: Structural Biology Molecular Biology Infectious Diseases
Journals: Nucleic Acids Research Bioinformatics Journal of Molecular Biology
Partner nations: United States United Kingdom Canada

In The Last Decade

Christopher J. Williams

30 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MolProbity: More and better reference data for improved all‐atom structure validation

2017 2.8k citations Christopher J. Williams, Jeffrey J. Headd et al. Protein Science profile →
AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination

2023 168 citations Thomas C. Terwilliger, Dorothée Liebschner et al. Nature Methods profile →

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 of co-authors of Christopher J. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Williams. A scholar is included among the top collaborators of Christopher J. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher J. Williams. Christopher J. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Categorizing prediction modes within low-pLDDT regions of AlphaFold 2 structures: near-predictive, pseudostructure and barbed wire 2025 ·Acta Crystallographica Section D Structural Biology ·Christopher J. Williams,Vincent B. Chen,David C. Richardson,Jane S. Richardson	0
2	Cis ‐ nonProline peptides: Genuine occurrences and their functional roles 2025 ·Protein Science ·Jane S. Richardson,Lizbeth L. Videau,Christopher J. Williams,Bradley J. Hintze,S. Mitchell Lewis,David Richardson	0
3	New targets and procedures for validating the valence geometry of nucleic acid structures 2025 ·Nucleic Acids Research ·(unknown),Robert A. Nicholls,Dariusz Brzeziński,Helen M. Berman,Mirosław Gilski,(unknown),Marcin Kowiel,(unknown),Nigel W. Moriarty,J P Richardson,Bohdan Schneider,(unknown),Christopher J. Williams,Mariusz Jaskólski,Martin Egli	1
4	Benefit–Cost Analysis of the HHS COVID-19 Campaign: April 2021–March 2022 2024 ·American Journal of Preventive Medicine ·(unknown),Elissa C. Kranzler,(unknown),(unknown),Joseph N. Luchman,Christopher J. Williams,(unknown),(unknown),(unknown),(unknown),Tyler Nighbor,Trinidad Beleche,Leah Hoffman,(unknown)	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 2023 ·Acta Crystallographica Section D Structural Biology ·Jane S. Richardson,Christopher J. Williams,Vincent B. Chen,Michael G. Prisant,David Richardson	4
6	Accelerating crystal structure determination with iterative AlphaFold prediction 2023 ·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	34
7	Alphafold changes everything (and nothing) 2023 ·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	1
8	AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determinationbreakdown → 2023 ·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	168
9	A map of the SARS-CoV-2 RNA structurome 2021 ·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	44
10	The importance of residue‐level filtering and the Top2018 best‐parts dataset of high‐quality protein residues 2021 ·Protein Science ·Christopher J. Williams,David Richardson,Jane S. Richardson	11
11	Improving SARS-CoV-2 structures: Peer review by early coordinate release 2021 ·Biophysical Journal ·Tristan I. Croll,Christopher J. Williams,Vincent B. Chen,David Richardson,Jane S. Richardson	14
12	New tools in MolProbity validation: CaBLAM for CryoEM backbone, UnDowser to rethink “waters,” and NGL Viewer to recapture online 3D graphics 2019 ·Protein Science ·Michael G. Prisant,Christopher J. Williams,Vincent B. Chen,Jane S. Richardson,David Richardson	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 2018 ·Journal of Structural Biology ·Jane S. Richardson,Christopher J. Williams,Lizbeth L. Videau,Vincent B. Chen,David Richardson	15
14	The relevance of phosphorylated forms of estrogen receptor in human breast cancer in vivo 2009 ·The Journal of Steroid Biochemistry and Molecular Biology ·Leigh C. Murphy,Georgios Skliris,Brian G. Rowan,(unknown),Christopher J. Williams,Carla Penner,(unknown),(unknown),(unknown),Peter H. Watson	28
15	The other 90% of the protein: Assessment beyond the Cαs for CASP8 template‐based and high‐accuracy models 2009 ·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,(unknown),Adam Zemła,David Richardson,Jane S. Richardson	61
16	Immunohistochemical validation of multiple phospho-specific epitopes for estrogen receptor α (ERα) in tissue microarrays of ERα positive human breast carcinomas 2008 ·Breast Cancer Research and Treatment ·G. Skliris,Brian G. Rowan,(unknown),Christopher J. Williams,(unknown),(unknown),(unknown),Peter H. Watson,Leigh C. Murphy	34
17	The Influence of Twin Pair Permutation on Likelihood-Based-Estimates of Genetic Variance That Require Ordering of Twin-Pairs 2007 ·Behavior Genetics ·Enda M. Byrne,(unknown),Christopher J. Williams,Joe C. Christian	0
18	Statistical methods for characterizing diversity of microbial communities by analysis of terminal restriction fragment length polymorphisms of 16S rRNA genes 2005 ·Environmental Microbiology ·Zaid Abdo,(unknown),Stephen J. Bent,Christopher J. Williams,Larry J. Forney,Paul Joyce	369
19	Approximate solutions for the maximum-likelihood estimates in models of univariate human twin data 1995 ·Behavior Genetics ·(unknown),Christopher J. Williams	2
20	Social contact and sibling similarity: Facts, issues, and red herrings 1990 ·Behavior Genetics ·(unknown),Jaakko Kaprio,Christopher J. Williams,Richard J. Viken,(unknown)	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) and RNA and protein synthesis mechanisms (6 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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