Christopher J. Oldfield

22.4k total citations · 10 hit papers
89 papers, 17.1k citations indexed

About

Christopher J. Oldfield is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Christopher J. Oldfield has authored 89 papers receiving a total of 17.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 23 papers in Materials Chemistry and 10 papers in Spectroscopy. Recurrent topics in Christopher J. Oldfield's work include Protein Structure and Dynamics (56 papers), RNA and protein synthesis mechanisms (27 papers) and Bioinformatics and Genomic Networks (25 papers). Christopher J. Oldfield is often cited by papers focused on Protein Structure and Dynamics (56 papers), RNA and protein synthesis mechanisms (27 papers) and Bioinformatics and Genomic Networks (25 papers). Christopher J. Oldfield collaborates with scholars based in United States, Russia and China. Christopher J. Oldfield's co-authors include A. Keith Dunker, Vladimir N. Uversky, Zoran Obradović, Pedro Romero, Marc S. Cortese, Lilia M. Iakoucheva, Predrag Radivojac, Yugong Cheng, Jingwei Meng and Vladimir Vacic and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Christopher J. Oldfield

87 papers receiving 17.0k citations

Hit Papers

5 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.

Intrinsically disordered protein

2001 1.8k citations A. Keith Dunker, Pedro Romero et al. profile →
Classification of Intrinsically Disordered Regions and Proteins

2014 1.6k citations Robin van der Lee, Marija Buljan et al. profile →
Intrinsically Disordered Proteins in Human Diseases: Introducing the D²Concept

2008 1.1k citations Vladimir N. Uversky, Christopher J. Oldfield et al. profile →
Intrinsically Disordered Proteins and Intrinsically Disordered Protein Regions

2014 765 citations Christopher J. Oldfield, A. Keith Dunker profile →
Showing your ID: intrinsic disorder as an ID for recognition, regulation and cell signaling

2005 685 citations Vladimir N. Uversky, Christopher J. Oldfield et al. Journal of Molecular Recognition profile →
Analysis of Molecular Recognition Features (MoRFs)

2006 597 citations Christopher J. Oldfield, Predrag Radivojac et al. profile →
Intrinsic Disorder in Transcription Factors

2006 592 citations Christopher J. Oldfield, Vladimir N. Uversky et al. profile →
Intrinsic Disorder and Functional Proteomics

2006 572 citations Predrag Radivojac, Lilia M. Iakoucheva et al. Biophysical Journal profile →
The unfoldomics decade: an update on intrinsically disordered proteins

2008 548 citations A. Keith Dunker, Christopher J. Oldfield et al. BMC Genomics profile →
Coupled Folding and Binding with α-Helix-Forming Molecular Recognition Elements

2005 521 citations Christopher J. Oldfield, Pedro Romero et al. profile →

Peers

Countries citing papers authored by Christopher J. Oldfield

Since Specialization

Citations

This map shows the geographic impact of Christopher J. Oldfield'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. Oldfield 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. Oldfield more than expected).

Fields of papers citing papers by Christopher J. Oldfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher J. Oldfield

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Oldfield. A scholar is included among the top collaborators of Christopher J. Oldfield 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. Oldfield. Christopher J. Oldfield 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	Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues 2021 ·Biomolecules ·(unknown), (unknown), Zhenling Peng, Christopher J. Oldfield, Lukasz Kurgan, Ka‐Chun Wong, Jianyi Yang	0
2	Identification of Intrinsic Disorder in Complexes from the Protein Data Bank 2020 ·ACS Omega ·Jianhong Zhou, Christopher J. Oldfield, Wenying Yan, (unknown), A. Keith Dunker	15
3	Understanding COVID-19 via comparative analysis of dark proteomes of SARS-CoV-2, human SARS and bat SARS-like coronaviruses 2020 ·Cellular and Molecular Life Sciences ·Rajanish Giri, Taniya Bhardwaj, (unknown), (unknown), Prateek Kumar, Kundlik Gadhave, Christopher J. Oldfield, Vladimir N. Uversky	85
4	Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor 2020 ·Methods in molecular biology ·Christopher J. Oldfield, Xiao Fan, Chen Wang, A. Keith Dunker, Lukasz Kurgan	6
5	Evidence for a strong correlation between transcription factor protein disorder and organismic complexity 2017 ·DIGITAL.CSIC (Spanish National Research Council (CSIC)) ·Inmaculada Yruela, Christopher J. Oldfield, Karl J. Niklas, A. Keith Dunker	42
6	The efficacy of luminol in detecting bloodstains that have been washed with sodium percarbonate and exposed to environmental conditions 2017 ·Australian Journal of Forensic Sciences ·Christopher J. Oldfield, Ruth M. Morgan, (unknown), J. C. French	6
7	Back to the Future: Nuclear Magnetic Resonance and Bioinformatics Studies on Intrinsically Disordered Proteins 2015 ·Advances in experimental medicine and biology ·A. Keith Dunker, Christopher J. Oldfield	16
8	Classification of Intrinsically Disordered Regions and Proteins 2014 ·Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) ·Robin van der Lee, Marija Buljan, Benjamin Lang, Robert J. Weatheritt, Gary W. Daughdrill, A. Keith Dunker, Mónika Fuxreiter, Julian Gough, Joerg Gsponer, David T. Jones, Philip M. Kim, Richard W. Kriwacki, Christopher J. Oldfield, Rohit V. Pappu, Péter Tompa, Vladimir N. Uversky, Peter E. Wright, M. Madan Babu	1
9	Improving protein order-disorder classification using charge-hydropathy plots 2014 ·PMC ·Fei Huang, Christopher J. Oldfield, Bin Xue, Wei-Lun Hsu, Jingwei Meng, Xiaowen Liu, Li Shen, Pedro Romero, Vladimir N. Uversky, A. Keith Dunker	0
10	Utilization of protein intrinsic disorder knowledge in structural proteomics 2012 ·Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics ·Christopher J. Oldfield, Bin Xue, (unknown), Eldon L. Ulrich, John L. Markley, A. Keith Dunker, Vladimir N. Uversky	54
11	SUBCLASSIFYING DISORDERED PROTEINS BY THE CH-CDF PLOT METHOD 2011 ·PubMed ·Fei Huang, Christopher J. Oldfield, Jingwei Meng, Wei-Lun Hsu, Bin Xue, Vladimir N. Uversky, Pedro Romero, A. Keith Dunker	78
12	Protein intrinsic disorder and induced pluripotent stem cells 2011 ·Molecular BioSystems ·Bin Xue, Christopher J. Oldfield, (unknown), A. Keith Dunker, Vladimir N. Uversky	43
13	N-terminal Domains of DELLA Proteins Are Intrinsically Unstructured in the Absence of Interaction with GID1/Gibberellic Acid Receptors 2010 ·Journal of Biological Chemistry ·Xiaolin Sun, William T. Jones, (unknown), Patrick J. B. Edwards, Steven M. Pascal, (unknown), Thérèse Considine, David J. Sheerin, Jasna Rakonjac, Christopher J. Oldfield, Bin Xue, A. Keith Dunker, Vladimir N. Uversky	59
14	Protein disorder in the human diseasome: unfoldomics of human genetic diseases 2009 ·TUScholarShare (Temple University) ·Uros Midic, Christopher J. Oldfield, A. Keith Dunker, Zoran Obradović, Vladimir N. Uversky	2
15	Bioinformatic Analysis of the Role of Intrinsic Disorder in Multiple Specificity 2009 ·Biophysical Journal ·Christopher J. Oldfield, Vladimir N. Uversky, A. Keith Dunker	1
16	Protein disorder in the human diseasome: unfoldomics of human genetic diseases 2009 ·BMC Genomics ·Uros Midic, Christopher J. Oldfield, A. Keith Dunker, Zoran Obradović, Vladimir N. Uversky	114
17	The unfoldomics decade: an update on intrinsically disordered proteins 2008 ·TUScholarShare (Temple University) ·A. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Yang, (unknown), Vladimir Vacic, Zoran Obradović, Vladimir N. Uversky	13
18	Intrinsic Disorder in Protein-Protein Interaction Networks: Case Studies of Complexes Involving p53 and 14-3-3. 2007 ·Christopher J. Oldfield, Jingwei Meng, Jack Yang, Vladimir N. Uversky, A. Keith Dunker	8
19	Intrinsic Disorder Is a Common Feature of Hub Proteins from Four Eukaryotic Interactomes 2006 ·PLoS Computational Biology ·Chad Haynes, Christopher J. Oldfield, Fei Ji, Niels Klitgord, Michael E. Cusick, Predrag Radivojac, Vladimir N. Uversky, Marc Vidal, Lilia M. Iakoucheva	463
20	Showing your ID: intrinsic disorder as an ID for recognition, regulation and cell signaling breakdown → 2005 ·Journal of Molecular Recognition ·Vladimir N. Uversky, Christopher J. Oldfield, A. Keith Dunker	685

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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