Jonathan Lees

6.9k total citations · 1 hit paper
65 papers, 3.9k citations indexed

About

Jonathan Lees is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Jonathan Lees has authored 65 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Spectroscopy. Recurrent topics in Jonathan Lees's work include Bioinformatics and Genomic Networks (20 papers), Protein Structure and Dynamics (18 papers) and Machine Learning in Bioinformatics (17 papers). Jonathan Lees is often cited by papers focused on Bioinformatics and Genomic Networks (20 papers), Protein Structure and Dynamics (18 papers) and Machine Learning in Bioinformatics (17 papers). Jonathan Lees collaborates with scholars based in United Kingdom, Spain and Malaysia. Jonathan Lees's co-authors include Christine Orengo, B.A. Wallace, Ian Sillitoe, Frank Wien, Natalie L. Dawson, Andrew Miles, David Lee, James R. Perkins, Benoît H. Dessailly and Tony E. Lewis and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Jonathan Lees

65 papers receiving 3.9k 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.

CATH: increased structural coverage of functional space

2020 280 citations Ian Sillitoe, Nicola Bordin et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Lees United Kingdom	30	2.9k	690	391	339	261	65	3.9k
Grzegorz Nawrocki United States	13	3.7k 1.3×	779 1.1×	349 0.9×	385 1.1×	456 1.7×	17	5.1k
Marco Tonelli United States	37	4.2k 1.4×	657 1.0×	410 1.0×	560 1.7×	140 0.5×	143	5.9k
József Kardos Hungary	33	3.4k 1.2×	803 1.2×	1.1k 2.8×	256 0.8×	148 0.6×	99	5.3k
Kaare Teilum Denmark	30	2.3k 0.8×	858 1.2×	230 0.6×	492 1.5×	133 0.5×	73	3.1k
Oxana V. Galzitskaya Russia	33	4.1k 1.4×	1.3k 1.9×	783 2.0×	331 1.0×	572 2.2×	204	5.3k
Johnny Habchi United Kingdom	32	1.9k 0.7×	410 0.6×	1.1k 2.8×	204 0.6×	299 1.1×	57	3.1k
Vidyashankara Iyer United States	10	4.4k 1.5×	530 0.8×	289 0.7×	385 1.1×	517 2.0×	12	6.3k
Alexander Shekhtman United States	37	3.1k 1.0×	301 0.4×	365 0.9×	296 0.9×	77 0.3×	133	4.6k
Christine Orengo United Kingdom	28	2.1k 0.7×	665 1.0×	412 1.1×	104 0.3×	165 0.6×	54	3.0k
Jacques Haiech France	41	3.9k 1.3×	676 1.0×	396 1.0×	383 1.1×	159 0.6×	178	5.9k

Countries citing papers authored by Jonathan Lees

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Lees

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Lees

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Rodríguez‐López, Maria, Nicola Bordin, Jonathan Lees, et al.. (2023). Broad functional profiling of fission yeast proteins using phenomics and machine learning. eLife. 12. 9 indexed citations

2.

Rodríguez‐López, Maria, Nicola Bordin, Jonathan Lees, et al.. (2023). Broad functional profiling of fission yeast proteins using phenomics and machine learning. eLife. 12. 9 indexed citations

3.

Squire, John M., Edward P. Morris, Rebecca J. Richardson, et al.. (2023). Zebrafish as a model for cardiac disease; Cryo-EM structure of native cardiac thin filaments from Danio Rerio. Journal of Muscle Research and Cell Motility. 44(3). 179–192. 1 indexed citations

4.

McCabe, Ruth, Mara D. Kont, Nora Schmit, et al.. (2021). Modelling ICU capacity under different epidemiological scenarios of the COVID-19 pandemic in three western European countries. International Journal of Epidemiology. 1 indexed citations

5.

Lam, Su Datt, M. Madan Babu, Jonathan Lees, & Christine Orengo. (2021). Biological impact of mutually exclusive exon switching. PLoS Computational Biology. 17(3). e1008708–e1008708. 16 indexed citations

6.

Baskozos, Georgios, John M. Dawes, Ana Antunes‐Martins, et al.. (2018). Comprehensive analysis of long noncoding RNA expression in dorsal root ganglion reveals cell-type specificity and dysregulation after nerve injury. Pain. 160(2). 463–485. 52 indexed citations

7.

Yu‐Wai‐Man, Cynthia, Nicholas Owen, Jonathan Lees, et al.. (2017). Genome-wide RNA-Sequencing analysis identifies a distinct fibrosis gene signature in the conjunctiva after glaucoma surgery. Scientific Reports. 7(1). 5644–5644. 17 indexed citations

8.

Lees, Jonathan, et al.. (2017). The Chinese Interbank Repo Market. RePEc: Research Papers in Economics. 75–86. 1 indexed citations

9.

Lewis, Tony E., Ian Sillitoe, Natalie L. Dawson, et al.. (2017). Gene3D: Extensive prediction of globular domains in proteins. Nucleic Acids Research. 46(D1). D435–D439. 124 indexed citations

10.

Lees, Jonathan, Juan A. G. Ranea, & Christine Orengo. (2015). Identifying and characterising key alternative splicing events in Drosophila development. BMC Genomics. 16(1). 608–608. 8 indexed citations

11.

Lam, Su Datt, Natalie L. Dawson, Sayoni Das, et al.. (2015). Gene3D: expanding the utility of domain assignments. Nucleic Acids Research. 44(D1). D404–D409. 45 indexed citations

12.

Sillitoe, Ian, Alison Cuff, Benoît H. Dessailly, et al.. (2012). New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures. Nucleic Acids Research. 41(D1). D490–D498. 171 indexed citations

13.

Antunes‐Martins, Ana, James R. Perkins, Jonathan Lees, et al.. (2012). Systems biology approaches to finding novel pain mediators. WIREs Systems Biology and Medicine. 5(1). 11–35. 24 indexed citations

14.

Ranea, Juan A. G., Ian Morilla, Jonathan Lees, et al.. (2010). Finding the “Dark Matter” in Human and Yeast Protein Network Prediction and Modelling. PLoS Computational Biology. 6(9). e1000945–e1000945. 15 indexed citations

15.

Lees, Jonathan, et al.. (2009). Gene3D: merging structure and function for a Thousand genomes. Nucleic Acids Research. 38(suppl_1). D296–D300. 39 indexed citations

16.

Lees, Jonathan & Robert W. Janes. (2008). Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary structure determinations. BMC Bioinformatics. 9(1). 24–24. 7 indexed citations

17.

Lees, Jonathan, Andrew J. Miles, Robert W. Janes, & B.A. Wallace. (2006). Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data. BMC Bioinformatics. 7(1). 507–507. 22 indexed citations

18.

Wallace, B.A., Frank Wien, Tracy A. Stone, et al.. (2006). A Circular Dichroism Reference Database for Membrane Proteins. Biophysical Journal. 90. 1 indexed citations

19.

Wien, Frank, Andrew J. Miles, Jonathan Lees, Søren Vrønning Hoffmann, & B.A. Wallace. (2005). VUV irradiation effects on proteins in high-flux synchrotron radiation circular dichroism spectroscopy. Journal of Synchrotron Radiation. 12(4). 517–523. 37 indexed citations

20.

Lees, Jonathan, Benjamin R. Smith, Frank Wien, Andrew Miles, & B.A. Wallace. (2004). CDtool—an integrated software package for circular dichroism spectroscopic data processing, analysis, and archiving. Analytical Biochemistry. 332(2). 285–289. 223 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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