John Le Quesne

15.5k total citations
61 papers, 2.7k citations indexed

About

John Le Quesne is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John Le Quesne has authored 61 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John Le Quesne's work include RNA and protein synthesis mechanisms (10 papers), Cancer Genomics and Diagnostics (7 papers) and RNA modifications and cancer (7 papers). John Le Quesne is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Cancer Genomics and Diagnostics (7 papers) and RNA modifications and cancer (7 papers). John Le Quesne collaborates with scholars based in United Kingdom, United States and Canada. John Le Quesne's co-authors include Anne E. Willis, Carlos Caldas, Mark Stoneley, F. Paulin, Stephen A. Chappell, Martin Bushell, Keith A. Spriggs, Paul D.P. Pharoah, Fiona M. Blows and Joseph A. Waldron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

John Le Quesne

60 papers receiving 2.7k citations

Peers

Countries citing papers authored by John Le Quesne

Since Specialization

Citations

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

Fields of papers citing papers by John Le Quesne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Le Quesne. 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 John Le Quesne. The network helps show where John Le Quesne may publish in the future.

Co-authorship network of co-authors of John Le Quesne

This figure shows the co-authorship network connecting the top 25 collaborators of John Le Quesne. A scholar is included among the top collaborators of John Le Quesne 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 John Le Quesne. John Le Quesne 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	A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images 2025 ·Nature Communications ·(unknown), (unknown), (unknown), (unknown), Ian Powley, Cathy Richards, Hussein Uraiby, Sonja Klebe, David A. Moore, Apostolos Nakas, Claire Wilson, Marco Sereno, Leah Officer-Jones, (unknown), Ana Teodòsio, (unknown), Daniel J. Murphy, Ke Yuan, John Le Quesne	1
2	Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides 2024 ·Nature Communications ·(unknown), Nicolas Coudray, Anna Yeaton, Xinyu Yang, Bojing Liu, (unknown), Luis Chiriboga, (unknown), Navneet Narula, David A. Moore, Christopher Y. Park, Harvey I. Pass, André L. Moreira, John Le Quesne, Aristotelis Tsirigos, Ke Yuan	24
3	Mitochondrial double-stranded RNA homeostasis depends on cell-cycle progression 2024 ·Life Science Alliance ·(unknown), Silvia Martinelli, (unknown), (unknown), (unknown), Ian Powley, Leah Officer-Jones, (unknown), Alison Galloway, Leo M. Carlin, Victoria H. Cowling, John Le Quesne, Jean‐Claude Martinou, Thomas MacVicar	0
4	P1.20-06 Mapping the Histopathological Landscape of Lung Adenocarcinoma using Self-Supervised Learning Artificial Intelligence 2023 ·Journal of Thoracic Oncology ·(unknown), Nicolas Coudray, Anna Yeaton, Xinyu Yang, Biao Liu, Luis Chiriboga, (unknown), Navneet Narula, David A. Moore, Changhyup Park, Harvey I. Pass, André L. Moreira, John Le Quesne, Aristotelis Tsirigos, Ke Yuan	1
5	Self-supervised deep learning for highly efficient spatial immunophenotyping 2023 ·EBioMedicine ·Hanyun Zhang, Khalid AbdulJabbar, (unknown), Ayse U. Akarca, (unknown), (unknown), (unknown), Dominic Patel, Lydia Lee, Manuel Rodriguez‐Justo, Kwee Yong, Jonathan A. Ledermann, John Le Quesne, E. Shelley Hwang, Teresa Marafioti, Yinyin Yuan	4
6	Protein expression of S100A2 reveals it association with patient prognosis and immune infiltration profile in colorectal cancer 2023 ·Journal of Cancer ·(unknown), Aula Ammar, Kathryn A.F. Pennel, Leah Officer-Jones, (unknown), Jean A. Quinn, (unknown), (unknown), Jennifer Hay, Ditte K. Andersen, (unknown), Hester C. van Wyk, Noori Maka, Donald McMillan, John Le Quesne, (unknown), Joanne Edwards	3
7	Presence of pleomorphic features but not growth patterns improves prognostic stratification of epithelioid malignant pleural mesothelioma by 2‐tier nuclear grade 2020 ·Histopathology ·Yu Zhi Zhang, Cecilia Brambilla, Philip L. Molyneaux, Alexandra Rice, Jan Lukas Robertus, Simon Jordan, Eric Lim, Loı̈c Lang-Lazdunski, Sofina Begum, Michael Dusmet, Vladimir Anikin, (unknown), Jonathan Finch, (unknown), Sanjay Popat, John Le Quesne, Aliya N. Husain, William Cookson, Miriam F. Moffatt, Andrew G. Nicholson	9
8	Nanomolar Protein–Protein Interaction Monitoring with a Label-Free Protein-Probe Technique 2020 ·Analytical Chemistry ·(unknown), (unknown), (unknown), (unknown), John Le Quesne, Martin Bushell, Harri Härmä, Kari Kopra	17
9	Microfilaria-dependent thoracic pathology associated with eosinophilic and fibrotic polyps in filaria-infected rodents 2020 ·Parasites & Vectors ·Frédéric Fercoq, (unknown), (unknown), (unknown), (unknown), Colin Nixon, John Le Quesne, Leo M. Carlin, Coralie Martin	10
10	Early detection of pre-malignant lesions in a KRASG12D-driven mouse lung cancer model by monitoring circulating free DNA 2019 ·Disease Models & Mechanisms ·(unknown), Ricky M. Trigg, John Le Quesne, Michael Kelly, Jacqui Shaw, Catrin Pritchard, L. Miguel Martins	14
11	IL-4 receptor dependent expansion of lung CD169+ macrophages in microfilaria-driven inflammation 2019 ·PLoS neglected tropical diseases ·Frédéric Fercoq, (unknown), Stefan J. Frohberger, (unknown), Achim Hoerauf, John Le Quesne, Frédéric Landmann, Marc P. Hübner, Leo M. Carlin, Coralie Martin	13
12	eIF4A2 drives repression of translation at initiation by Ccr4-Not through purine-rich motifs in the 5′UTR 2019 ·Genome biology ·Ania Wilczynska, (unknown), Tobias Schmidt, Hedda A. Meijer, Rebekah Jukes‐Jones, Claudia Langlais, Kari Kopra, Wei-Ting Lu, Jack D. Godfrey, Ben R Hawley, Kelly Hodge, Sara Zanivan, Kelvin Cain, John Le Quesne, Martin Bushell	44
13	BCL11A interacts with SOX2 to control the expression of epigenetic regulators in lung squamous carcinoma 2018 ·Nature Communications ·Kyren A. Lazarus, Fazal Hadi, (unknown), Karsten Bach, Maria Francesca Santolla, Julie K. Watson, (unknown), Madhumita Das, (unknown), Sara Pensa, (unknown), Lia S. Campos, Graham Ladds, Pentao Liu, Gérard I. Evan, Frank McCaughan, John Le Quesne, Joo‐Hyeon Lee, Dinis Pedro Calado, Walid T. Khaled	44
14	Ex Vivo Explant Cultures of Non–Small Cell Lung Carcinoma Enable Evaluation of Primary Tumor Responses to Anticancer Therapy 2017 ·Cancer Research ·(unknown), Wenjing Liao, Barry L. Sharp, John Pugh, Helen J. Reid, John Le Quesne, David A. Moore, Catrin Pritchard, Marion MacFarlane, James H. Pringle	68
15	The RNA-binding protein LARP1 is a cancer therapeutic target 2017 ·Cancer Research ·Essam Ghazaly, John Le Quesne, (unknown), (unknown), (unknown), Cristian Rodriguez‐Aguayo, G. Lopez‐Berestein, (unknown), Manuela Mura, Chara Stavraka, Anil K. Sood, Sarah P. Blagden	1
16	P3.03-005 Inhibition of PRMT5 is Synthetic Lethal in Mesotheliomas Harboring MTAP Loss 2017 ·Journal of Thoracic Oncology ·Annabel Sharkey, Luke Martinson, John Le Quesne, David T. Moore, Apostolos Nakas, Philip Quirke, Morag Taylor, Sara Tenconi, Gareth A. Wilson, David Waller, Charles Swanton, Sara Busacca, Dean A. Fennell	1
17	The molecular approach to diagnosis in lung cancer 2015 ·British Journal of Hospital Medicine ·David A. Moore, John Le Quesne	1
18	Resistance to HSP90 inhibition involving loss of MCL1 addiction 2015 ·Oncogene ·Sara Busacca, (unknown), Ian Powley, David A. Proia, Manuel Sequeira, John Le Quesne, Astero Klabatsa, Jennifer M. Edwards, Kyle B. Matchett, Jinli Luo, James H. Pringle, Mohamed El‐Tanani, Marion MacFarlane, Dean A. Fennell	24
19	TGFβ induces the formation of tumour-initiating cells in claudinlow breast cancer 2012 ·Nature Communications ·Alejandra Bruna, Wendy Greenwood, John Le Quesne, Andrew E. Teschendorff, Diego Miranda‐Saavedra, Oscar M. Rueda, José Luís Sandoval, Ana Tufegdžić Vidaković, Amel Saadi, Paul D.P. Pharoah, Julia Stingl, Carlos Caldas	82
20	BCL2 in breast cancer: a favourable prognostic marker across molecular subtypes and independent of adjuvant therapy received 2010 ·British Journal of Cancer ·Sarah‐Jane Dawson, Nikita Makretsov, Fiona M. Blows, K E Driver, Elena Provenzano, John Le Quesne, Laura Baglietto, Gianluca Severi, Graham G. Giles, Catriona McLean, Grace Callagy, Andrew R. Green, Ian O. Ellis, Karen A. Gelmon, Gulisa Turashvili, Sam Leung, Samuel Aparício, David G. Huntsman, Carlos Caldas, Paul D.P. Pharoah	257

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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