J. Selley

1.6k total citations
18 papers, 1.2k citations indexed

About

J. Selley is a scholar working on Molecular Biology, Spectroscopy and Immunology and Allergy. According to data from OpenAlex, J. Selley has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Spectroscopy and 2 papers in Immunology and Allergy. Recurrent topics in J. Selley's work include Advanced Proteomics Techniques and Applications (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (5 papers). J. Selley is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (5 papers). J. Selley collaborates with scholars based in United Kingdom, United States and Germany. J. Selley's co-authors include Simon J. Hubbard, Mark Ashe, Chris M. Grant, Julia B. Smirnova, Graham D. Pavitt, Kathleen Carroll, David Knight, Teresa K. Attwood, Jonathan D. Humphries and Adam Byron and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

J. Selley

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Selley United Kingdom 14 970 190 189 101 62 18 1.2k
Edward Hawkins United Kingdom 4 811 0.8× 165 0.9× 558 3.0× 62 0.6× 42 0.7× 6 1.3k
Yun Lu China 16 651 0.7× 168 0.9× 77 0.4× 55 0.5× 48 0.8× 35 1.0k
Michael Tyers Canada 13 810 0.8× 199 1.0× 62 0.3× 52 0.5× 33 0.5× 16 973
Nancy L. Andon United States 13 827 0.9× 143 0.8× 260 1.4× 243 2.4× 40 0.6× 16 1.3k
Mark R. Flory United States 15 1.2k 1.2× 276 1.5× 655 3.5× 73 0.7× 17 0.3× 27 1.5k
Alejandra Clark United Kingdom 13 801 0.8× 214 1.1× 52 0.3× 79 0.8× 25 0.4× 21 1.1k
Gerald Latter United States 18 1.2k 1.2× 230 1.2× 388 2.1× 62 0.6× 61 1.0× 29 1.5k
Long Wu Hong Kong 9 704 0.7× 83 0.4× 339 1.8× 43 0.4× 14 0.2× 19 927
Salvador Martínez‐Bartolomé United States 17 796 0.8× 166 0.9× 457 2.4× 30 0.3× 14 0.2× 44 1.2k
Brendan K. Faherty United States 7 1.1k 1.2× 329 1.7× 591 3.1× 74 0.7× 12 0.2× 7 1.4k

Countries citing papers authored by J. Selley

Since Specialization
Citations

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

Fields of papers citing papers by J. Selley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Selley

This figure shows the co-authorship network connecting the top 25 collaborators of J. Selley. A scholar is included among the top collaborators of J. Selley 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 J. Selley. J. Selley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Parry‐Jones, Adrian, Xia Wang, J. Selley, et al.. (2022). Zebrafish drug screening identifies candidate therapies for neuroprotection after spontaneous intracerebral haemorrhage. Disease Models & Mechanisms. 15(3). 11 indexed citations
2.
Waterworth, Wanda M., Michael Wilson, Dapeng Wang, et al.. (2019). Phosphoproteomic analysis reveals plant DNA damage signalling pathways with a functional role for histone H2AX phosphorylation in plant growth under genotoxic stress. The Plant Journal. 100(5). 1007–1021. 34 indexed citations
3.
Miller, Matt, ronan.ocualain not provided, J. Selley, et al.. (2017). Dynamic Acclimation to High Light in Arabidopsis thaliana Involves Widespread Reengineering of the Leaf Proteome. Frontiers in Plant Science. 8. 1239–1239. 34 indexed citations
4.
Porter, Louise F., Giorgio Giacomo Galli, J. Selley, et al.. (2015). A role for repressive complexes and H3K9 di-methylation in PRDM5-associated brittle cornea syndrome. Human Molecular Genetics. 24(23). 6565–6579. 16 indexed citations
5.
Robertson, Joseph, Guillaume Jacquemet, Adam Byron, et al.. (2015). Defining the phospho-adhesome through the phosphoproteomic analysis of integrin signalling. Nature Communications. 6(1). 6265–6265. 106 indexed citations
6.
Bell, Peter A., Raimund Wagener, Frank Zaucke, et al.. (2013). Analysis of the cartilage proteome from three different mouse models of genetic skeletal diseases reveals common and discrete disease signatures. Biology Open. 2(8). 802–811. 11 indexed citations
7.
Rashid, S. Tamir, Jonathan D. Humphries, Adam Byron, et al.. (2012). Proteomic analysis of extracellular matrix from the hepatic stellate cell line LX-2 identifies CYR61 and Wnt-5a as novel constituents of fibrotic liver. Journal of Proteome Research. 11(8). 4052–4064. 67 indexed citations
8.
Jones, Andrew R., Martin Eisenacher, Gerhard Mayer, et al.. (2012). The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results. Molecular & Cellular Proteomics. 11(7). M111.014381–1. 142 indexed citations
9.
Castelli, Lydia M., Jennifer Lui, Susan G. Campbell, et al.. (2011). Glucose depletion inhibits translation initiation via eIF4A loss and subsequent 48S preinitiation complex accumulation, while the pentose phosphate pathway is coordinately up-regulated. Molecular Biology of the Cell. 22(18). 3379–3393. 76 indexed citations
10.
Cridge, Andrew G., Lydia M. Castelli, Julia B. Smirnova, et al.. (2010). Identifying eIF4E-binding protein translationally-controlled transcripts reveals links to mRNAs bound by specific PUF proteins. Nucleic Acids Research. 38(22). 8039–8050. 40 indexed citations
11.
Lawless, Craig, Richard D. Pearson, J. Selley, et al.. (2009). Upstream sequence elements direct post-transcriptional regulation of gene expression under stress conditions in yeast. BMC Genomics. 10(1). 7–7. 89 indexed citations
12.
Siepen, Jennifer A., J. Selley, & Simon J. Hubbard. (2008). PepSeeker: Mining Information from Proteomic Data. Methods in molecular biology. 484. 319–332. 5 indexed citations
13.
Siepen, Jennifer A., Khalid Belhajjame, J. Selley, et al.. (2008). ISPIDER Central: an integrated database web-server for proteomics. Nucleic Acids Research. 36(Web Server). W485–W490. 18 indexed citations
14.
Smirnova, Julia B., J. Selley, Kathleen Carroll, et al.. (2006). Global Translational Responses to Oxidative Stress Impact upon Multiple Levels of Protein Synthesis. Journal of Biological Chemistry. 281(39). 29011–29021. 338 indexed citations
15.
Smirnova, Julia B., J. Selley, Fátima Sánchez‐Cabo, et al.. (2005). Global Gene Expression Profiling Reveals Widespread yet Distinctive Translational Responses to Different Eukaryotic Translation Initiation Factor 2B-Targeting Stress Pathways. Molecular and Cellular Biology. 25(21). 9340–9349. 83 indexed citations
16.
Lord, Phillip, J. Selley, & Teresa K. Attwood. (2002). CINEMA-MX: a modular multiple alignment editor. Bioinformatics. 18(10). 1402–1403. 18 indexed citations
17.
Selley, J., James W. Swift, & Teresa K. Attwood. (2001). EASY—an Expert Analysis SYstem for interpreting database search outputs. Bioinformatics. 17(1). 105–106. 6 indexed citations
18.
Attwood, Teresa K., et al.. (1999). PRINTS prepares for the new millennium. Nucleic Acids Research. 27(1). 220–225. 92 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Edward Hawkins Breakdown of academic impact, for papers by Yun Lu Breakdown of academic impact, for papers by Michael Tyers Breakdown of academic impact, for papers by Nancy L. Andon Breakdown of academic impact, for papers by Mark R. Flory Breakdown of academic impact, for papers by Alejandra Clark Breakdown of academic impact, for papers by Gerald Latter Breakdown of academic impact, for papers by Long Wu Breakdown of academic impact, for papers by Salvador Martínez‐Bartolomé Breakdown of academic impact, for papers by Brendan K. Faherty
Rankless by CCL
2026