David R. Westhead

7.9k total citations
120 papers, 4.8k citations indexed

About

David R. Westhead is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, David R. Westhead has authored 120 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 18 papers in Materials Chemistry and 13 papers in Computational Theory and Mathematics. Recurrent topics in David R. Westhead's work include Protein Structure and Dynamics (23 papers), Enzyme Structure and Function (16 papers) and Bioinformatics and Genomic Networks (16 papers). David R. Westhead is often cited by papers focused on Protein Structure and Dynamics (23 papers), Enzyme Structure and Function (16 papers) and Bioinformatics and Genomic Networks (16 papers). David R. Westhead collaborates with scholars based in United Kingdom, United States and Singapore. David R. Westhead's co-authors include James Bradford, David E. Clark, Chris J. Needham, Christopher W. Murray, Andrew J. Bulpitt, John W. Pinney, Glenn A. McConkey, Janet M. Thornton, Matthew A. Care and Chih‐Hung Jen and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

David R. Westhead

118 papers receiving 4.7k citations

Peers

David R. Westhead

CTM

IMMUN

Anne‐Claude Gavin Germany

Hugo Ceulemans Belgium

Fabian Glaser Israel

Roberto Sánchez United States

Marcus Bantscheff Germany

Natarajan Kannan United States

Enrico O. Purisima Canada

Jing Tang China

Marc van Dijk Netherlands

Patrick A. Eyers United Kingdom

Anne‐Claude Gavin Germany

David R. Westhead

5.3k ×1.5

1.1k ×1.3

CTM

294 ×0.7

IMMUN

288 ×0.7

248 ×0.7

Citations per year, relative to David R. Westhead David R. Westhead (= 1×) peers Anne‐Claude Gavin

Countries citing papers authored by David R. Westhead

Since Specialization

Citations

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

Fields of papers citing papers by David R. Westhead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Westhead. 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 David R. Westhead. The network helps show where David R. Westhead may publish in the future.

Co-authorship network of co-authors of David R. Westhead

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Westhead. A scholar is included among the top collaborators of David R. Westhead 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 David R. Westhead. David R. Westhead 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

Scott, James N., Matthew Edwards, Xiaoling Wang, et al.. (2025). Excised DNA circles from V(D)J recombination promote relapsed leukaemia. Nature. 645(8081). 774–783.

Fife, Christopher M., Jennifer M. Williams, Fiona James, et al.. (2024). Natural killer cells are required for the recruitment of CD8+ T cells and the efficacy of immune checkpoint blockade in melanoma brain metastases. Journal for ImmunoTherapy of Cancer. 12(11). e009522–e009522. 4 indexed citations

Hayward, C., Jonathan A. Batty, David R. Westhead, et al.. (2023). Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes. European Heart Journal. 44(Supplement_2). 1 indexed citations

Batty, Jonathan A., David R. Westhead, Owen Johnson, et al.. (2023). Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes. EBioMedicine. 96. 104792–104792. 16 indexed citations

Saxami, Georgia, Apostolos Malatras, Chih‐Hung Jen, et al.. (2021). Arabidopsis Coexpression Tool: a tool for gene coexpression analysis in Arabidopsis thaliana. iScience. 24(8). 102848–102848. 17 indexed citations

Tanner, Georgette, David R. Westhead, Alastair Droop, & Lucy F. Stead. (2021). Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data. Nature Communications. 12(1). 6396–6396. 13 indexed citations

Glover, Paul, Chulin Sha, Matthew A. Care, et al.. (2020). Comparative analysis of gene expression platforms for cell‐of‐origin classification of diffuse large B‐cell lymphoma shows high concordance. British Journal of Haematology. 192(3). 599–604. 6 indexed citations

Hayes, Josie, Helene Thygesen, Walter M. Gregory, et al.. (2016). A validated microRNA profile with predictive potential in glioblastoma patients treated with bevacizumab. Molecular Oncology. 10(8). 1296–1304. 18 indexed citations

Doody, Gina M., Matthew A. Care, Nicholas J. Burgoyne, et al.. (2010). An extended set of PRDM1/BLIMP1 target genes links binding motif type to dynamic repression. Nucleic Acids Research. 38(16). 5336–5350. 51 indexed citations

10.

Tedder, Philip, James Bradford, Glenn A. McConkey, Andrew J. Bulpitt, & David R. Westhead. (2010). PlasmoPredict: a gene function prediction website for Plasmodium falciparum. Trends in Parasitology. 26(3). 107–110. 3 indexed citations

11.

Tedder, Philip, Elena Zubko, David R. Westhead, & Peter Meyer. (2009). Small RNA analysis in Petunia hybrida identifies unusual tissue-specific expression patterns of conserved miRNAs and of a 24mer RNA. RNA. 15(6). 1012–1020. 9 indexed citations

12.

Westhead, David R., et al.. (2009). The transcriptional regulation of protein complexes; a cross-species perspective. Genomics. 94(6). 369–376. 12 indexed citations

13.

Pinney, John W., et al.. (2008). Heat Stress Enhances the Accumulation of Polyadenylated Mitochondrial Transcripts in Arabidopsis thaliana. PLoS ONE. 3(8). e2889–e2889. 19 indexed citations

14.

Westhead, David R., et al.. (2007). A consensus algorithm to screen genomes for novel families of transmembrane β barrel proteins. Proteins Structure Function and Bioinformatics. 69(1). 8–18. 9 indexed citations

15.

Needham, Chris J., James Bradford, Andrew J. Bulpitt, Matthew A. Care, & David R. Westhead. (2006). Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. BMC Bioinformatics. 7(1). 405–405. 19 indexed citations

16.

Jen, Chih‐Hung, Ioannis Michalopoulos, David R. Westhead, & Peter Meyer. (2005). Natural antisense transcripts with coding capacity in Arabidopsismay have a regulatory role that is not linked to double-stranded RNA degradation. Genome biology. 6(6). R51–R51. 104 indexed citations

17.

Bradford, James & David R. Westhead. (2004). Improved prediction of protein-protein binding sites using a support vector machines approach. Computer applications in the biosciences. 21(8). 1487–1494. 274 indexed citations

18.

Pickering, S. J., et al.. (2001). AI-based algorithms for protein surface comparisons. Computers & Chemistry. 26(1). 79–84. 15 indexed citations

19.

Gilbert, David, David R. Westhead, Nozomi Nagano, & Janet M. Thornton. (1999). Motif-based searching in TOPS protein topology databases.. Bioinformatics. 15(4). 317–326. 68 indexed citations

20.

Westhead, David R., et al.. (1999). Protein structural topology: Automated analysis and diagrammatic representation. Protein Science. 8(4). 897–904. 98 indexed citations

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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