Rónán Daly

1.3k total citations
37 papers, 761 citations indexed

About

Rónán Daly is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Rónán Daly has authored 37 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Spectroscopy and 6 papers in Artificial Intelligence. Recurrent topics in Rónán Daly's work include Metabolomics and Mass Spectrometry Studies (19 papers), Analytical Chemistry and Chromatography (7 papers) and Bioinformatics and Genomic Networks (7 papers). Rónán Daly is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (19 papers), Analytical Chemistry and Chromatography (7 papers) and Bioinformatics and Genomic Networks (7 papers). Rónán Daly collaborates with scholars based in United Kingdom, Netherlands and Ireland. Rónán Daly's co-authors include Qiang Shen, Stuart Aitken, Joe Wandy, Simon Rogers, Justin J. J. van der Hooft, Karl Burgess, Michael P. Barrett, Stefan Weidt, Vinny Davies and Rainer Breitling and has published in prestigious journals such as New England Journal of Medicine, Bioinformatics and PLoS ONE.

In The Last Decade

Rónán Daly

37 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rónán Daly United Kingdom	15	416	146	99	60	59	37	761
Fabien Jourdan France	20	751 1.8×	70 0.5×	123 1.2×	84 1.4×	21 0.4×	55	1.2k
Christian Ebeling Germany	16	800 1.9×	80 0.5×	31 0.3×	54 0.9×	48 0.8×	24	1.2k
Jiyang Dong China	23	724 1.7×	60 0.4×	154 1.6×	166 2.8×	30 0.5×	108	1.5k
Paolo Romano Italy	16	398 1.0×	60 0.4×	61 0.6×	27 0.5×	20 0.3×	65	796
Kana Shimizu Japan	19	772 1.9×	94 0.6×	32 0.3×	19 0.3×	47 0.8×	70	1.2k
Jianbo Fu China	17	806 1.9×	90 0.6×	113 1.1×	43 0.7×	15 0.3×	28	1.2k
Samantha Riccadonna Italy	15	332 0.8×	149 1.0×	37 0.4×	58 1.0×	12 0.2×	24	1.0k
Can Chen China	21	769 1.8×	60 0.4×	35 0.4×	93 1.6×	24 0.4×	115	1.4k
Zhichao Liu China	17	320 0.8×	70 0.5×	84 0.8×	150 2.5×	14 0.2×	46	985

Countries citing papers authored by Rónán Daly

Since Specialization

Citations

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

Fields of papers citing papers by Rónán Daly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rónán Daly

This figure shows the co-authorship network connecting the top 25 collaborators of Rónán Daly. A scholar is included among the top collaborators of Rónán Daly 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 Rónán Daly. Rónán Daly 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

Delles, Christian, Roland E. Schmieder, Rónán Daly, et al.. (2024). Response of Blood Pressure to Renal Denervation Is Not Associated With Genetic Variants. Hypertension. 82(1). 118–125. 1 indexed citations

Weidt, Stefan, et al.. (2023). On‐line targeted metabolomics for real‐time monitoring of relevant compounds in fermentation processes. Biotechnology and Bioengineering. 121(2). 683–695. 3 indexed citations

Wandy, Joe, Stefan Weidt, Simon Rogers, et al.. (2023). TopNEXt: automatic DDA exclusion framework for multi-sample mass spectrometry experiments. Bioinformatics. 39(7). 2 indexed citations

Moses, Tessa, et al.. (2022). On‐line untargeted metabolomics monitoring of an Escherichia coli succinate fermentation process. Biotechnology and Bioengineering. 119(10). 2757–2769. 9 indexed citations

McLuskey, Karen, Joe Wandy, Isabel M. Vincent, et al.. (2021). Ranking Metabolite Sets by Their Activity Levels. Metabolites. 11(2). 103–103. 16 indexed citations

Eldjárn, Grímur Hjörleifsson, Andrew Ramsay, Justin J. J. van der Hooft, et al.. (2021). Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions. PLoS Computational Biology. 17(5). e1008920–e1008920. 43 indexed citations

Annese, Valerio F., Samadhan B. Patil, Chunxiao Hu, et al.. (2021). A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection. Microsystems & Nanoengineering. 7(1). 21–21. 20 indexed citations

Wandy, Joe & Rónán Daly. (2021). GraphOmics: an interactive platform to explore and integrate multi-omics data. BMC Bioinformatics. 22(1). 603–603. 12 indexed citations

Daly, Rónán, Gavin Blackburn, Carl S. Goodyear, et al.. (2020). Changes in Plasma Itaconate Elevation in Early Rheumatoid Arthritis Patients Elucidates Disease Activity Associated Macrophage Activation. Metabolites. 10(6). 241–241. 33 indexed citations

10.

Buckley, James J., Rónán Daly, Christina A. Cobbold, Karl Burgess, & Barbara K. Mable. (2019). Changing environments and genetic variation: natural variation in inbreeding does not compromise short-term physiological responses. Proceedings of the Royal Society B Biological Sciences. 286(1915). 20192109–20192109. 9 indexed citations

11.

Daly, Rónán, et al.. (2018). MetaboCraft: building a Minecraft plugin for metabolomics. Bioinformatics. 34(15). 2693–2694. 2 indexed citations

12.

Burgess, Karl, et al.. (2017). MetaNetter 2: A Cytoscape plugin for ab initio network analysis and metabolite feature classification. Journal of Chromatography B. 1071. 68–74. 25 indexed citations

13.

Wandy, Joe, et al.. (2017). Ms2lda.org: web-based topic modelling for substructure discovery in mass spectrometry. Bioinformatics. 34(2). 317–318. 84 indexed citations

14.

Vincent, Isabel M., Rónán Daly, Bertrand Courtioux, et al.. (2016). Metabolomics Identifies Multiple Candidate Biomarkers to Diagnose and Stage Human African Trypanosomiasis. PLoS neglected tropical diseases. 10(12). e0005140–e0005140. 32 indexed citations

15.

Jiwaji, Meesbah, Mairi E. Sandison, Julien Reboud, et al.. (2014). Quantification of Functionalised Gold Nanoparticle-Targeted Knockdown of Gene Expression in HeLa Cells. PLoS ONE. 9(6). e99458–e99458. 9 indexed citations

16.

Rogers, Simon, Rónán Daly, & Rainer Breitling. (2012). Mixture model clustering for peak filtering in metabolomics. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 indexed citations

17.

Jiwaji, Meesbah, Rónán Daly, Abdullah Ahmed Gibriel, et al.. (2012). Unique Reporter-Based Sensor Platforms to Monitor Signalling in Cells. PLoS ONE. 7(11). e50521–e50521. 4 indexed citations

18.

Daly, Rónán, Qiang Shen, & Stuart Aitken. (2011). Learning Bayesian networks: approaches and issues. The Knowledge Engineering Review. 26(2). 99–157. 198 indexed citations

19.

Jiwaji, Meesbah, et al.. (2010). The Renilla luciferase gene as a reference gene for normalization of gene expression in transiently transfected cells. BMC Molecular Biology. 11(1). 103–103. 13 indexed citations

20.

Daly, Rónán, et al.. (2006). Speeding up the learning of equivalence classes of bayesian network structures.. 34–39. 2 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