Wilfried Haerty

10.3k total citations · 1 hit paper
86 papers, 3.4k citations indexed

About

Wilfried Haerty is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Wilfried Haerty has authored 86 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 25 papers in Genetics and 18 papers in Cancer Research. Recurrent topics in Wilfried Haerty's work include RNA Research and Splicing (18 papers), Cancer-related molecular mechanisms research (14 papers) and RNA modifications and cancer (14 papers). Wilfried Haerty is often cited by papers focused on RNA Research and Splicing (18 papers), Cancer-related molecular mechanisms research (14 papers) and RNA modifications and cancer (14 papers). Wilfried Haerty collaborates with scholars based in United Kingdom, Canada and United States. Wilfried Haerty's co-authors include Chris P. Ponting, Rama S. Singh, Yang Li, Carlo G. Artieri, G. Brian Golding, Andrew Bassett, Iain C. Macaulay, Parveen Kumar, Thierry Voet and Mabel Teng and has published in prestigious journals such as Nature, Nucleic Acids Research and Gastroenterology.

In The Last Decade

Wilfried Haerty

83 papers receiving 3.4k citations

Hit Papers

G&T-seq: parallel seq... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wilfried Haerty United Kingdom 28 2.3k 937 754 383 311 86 3.4k
Stefano Colella France 28 2.3k 1.0× 897 1.0× 1.1k 1.4× 638 1.7× 231 0.7× 50 4.1k
David Sturgill United States 23 2.1k 0.9× 331 0.4× 1.1k 1.4× 398 1.0× 300 1.0× 37 2.9k
Guillaume Smits Belgium 24 3.1k 1.4× 668 0.7× 1.2k 1.6× 500 1.3× 592 1.9× 55 4.7k
Charles G. Danko United States 30 3.5k 1.5× 707 0.8× 806 1.1× 344 0.9× 133 0.4× 69 4.4k
Alisha K. Holloway United States 26 1.9k 0.8× 390 0.4× 1.4k 1.8× 432 1.1× 429 1.4× 38 3.2k
Manuel Irimia Spain 43 5.9k 2.5× 768 0.8× 818 1.1× 566 1.5× 115 0.4× 120 6.8k
LaDeana W. Hillier United States 16 3.4k 1.5× 643 0.7× 1.9k 2.5× 911 2.4× 150 0.5× 19 4.5k
Elliott H. Margulies United States 32 3.8k 1.7× 563 0.6× 1.5k 1.9× 686 1.8× 87 0.3× 51 5.1k
Hiram Clawson United States 17 4.6k 2.0× 1.1k 1.1× 1.7k 2.2× 894 2.3× 102 0.3× 23 5.7k
Richard K. Wilson United States 17 3.5k 1.5× 687 0.7× 1.4k 1.9× 890 2.3× 107 0.3× 23 4.5k

Countries citing papers authored by Wilfried Haerty

Since Specialization
Citations

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

Fields of papers citing papers by Wilfried Haerty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilfried Haerty

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

All Works

20 of 20 papers shown
1.
Cook, Nicola, Clémence Marchal, James Simmonds, et al.. (2025). Autoactive CNGC15 enhances root endosymbiosis in legume and wheat. Nature. 638(8051). 752–759. 6 indexed citations
3.
Adamski, Nikolai M., Andrew Goldson, Martin Vickers, et al.. (2025). Spatial transcriptomics reveals expression gradients in developing wheat inflorescences at cellular resolution. The Plant Cell. 38(1). 1 indexed citations
4.
Haerty, Wilfried, et al.. (2024). Socially plastic responses in females are robust to evolutionary manipulations of adult sex ratio and adult nutrition. Journal of Evolutionary Biology. 37(10). 1215–1224.
5.
Puechmaille, Sébastien J., Sarahjane Power, Martin Pippel, et al.. (2023). Comparative Genome Microsynteny Illuminates the Fast Evolution of Nuclear Mitochondrial Segments (NUMTs) in Mammals. Molecular Biology and Evolution. 41(1). 11 indexed citations
6.
Ponting, Chris P. & Wilfried Haerty. (2022). Genome-Wide Analysis of Human Long Noncoding RNAs: A Provocative Review. Annual Review of Genomics and Human Genetics. 23(1). 153–172. 63 indexed citations
7.
Sun, Bin, et al.. (2022). What has single-cell transcriptomics taught us about long non-coding RNAs in the ventricular-subventricular zone?. Stem Cell Reports. 18(1). 354–376. 2 indexed citations
8.
Mehta, Tarang K., et al.. (2022). Evolution of miRNA-Binding Sites and Regulatory Networks in Cichlids. Molecular Biology and Evolution. 39(7). 4 indexed citations
9.
Etherington, Graham, et al.. (2022). Extensive genome introgression between domestic ferret and European polecat during population recovery in Great Britain. Journal of Heredity. 113(5). 500–515. 7 indexed citations
10.
Ford, Antonia G. P., Alan Smith, Benjamin P. Ngatunga, et al.. (2020). Newly discovered cichlid fish biodiversity threatened by hybridization with non‐native species. Molecular Ecology. 30(4). 895–911. 27 indexed citations
11.
Etherington, Graham, Darren Heavens, David Baker, et al.. (2020). Sequencing smart: De novo sequencing and assembly approaches for a non-model mammal. GigaScience. 9(5). 16 indexed citations
13.
Jones, Emily, Lejla Gul, Padhmanand Sudhakar, et al.. (2019). Integrative analysis of Paneth cell proteomic and transcriptomic data from intestinal organoids reveals functional processes dependent on autophagy. Disease Models & Mechanisms. 12(3). 18 indexed citations
14.
Sirey, Tamara, Kenny Roberts, Wilfried Haerty, et al.. (2019). The long non-coding RNA Cerox1 is a post transcriptional regulator of mitochondrial complex I catalytic activity. eLife. 8. 54 indexed citations
15.
Etherington, Graham, Nicola Soranzo, Suhaib Mohammed, et al.. (2019). A Galaxy-based training resource for single-cell RNA-sequencing quality control and analyses. GigaScience. 8(12). 4 indexed citations
16.
Vega, José J. De, Robert Davey, Jorge Duitama, et al.. (2019). Colombia's cyberinfrastructure for biodiversity: Building data infrastructure in emerging countries to foster socioeconomic growth. Plants People Planet. 2(3). 229–236. 5 indexed citations
17.
Bailey, Paul, Christian Schudoma, William James Jackson, et al.. (2018). Dominant integration locus drives continuous diversification of plant immune receptors with exogenous domain fusions. Genome biology. 19(1). 23–23. 94 indexed citations
18.
Chen, Jenny, Ross Swofford, Jeremy Johnson, et al.. (2018). A quantitative framework for characterizing the evolutionary history of mammalian gene expression. Genome Research. 29(1). 53–63. 66 indexed citations
19.
Thanki, Anil S., Nicola Soranzo, Wilfried Haerty, & Robert Davey. (2018). GeneSeqToFamily: a Galaxy workflow to find gene families based on the Ensembl Compara GeneTrees pipeline. GigaScience. 7(3). 1–10. 11 indexed citations
20.
Wehrspaun, Claudia C., Wilfried Haerty, & Chris P. Ponting. (2015). Microglia recapitulate a hematopoietic master regulator network in the aging human frontal cortex. Neurobiology of Aging. 36(8). 2443.e9–2443.e20. 42 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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