Elon Correa

2.7k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Elon Correa is a scholar working on Molecular Biology, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Elon Correa has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Analytical Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in Elon Correa's work include Metabolomics and Mass Spectrometry Studies (15 papers), Spectroscopy and Chemometric Analyses (8 papers) and Advanced Chemical Sensor Technologies (6 papers). Elon Correa is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (15 papers), Spectroscopy and Chemometric Analyses (8 papers) and Advanced Chemical Sensor Technologies (6 papers). Elon Correa collaborates with scholars based in United Kingdom, Denmark and Czechia. Elon Correa's co-authors include Royston Goodacre, Yun Xu, Piotr S. Gromski, Michael L. Turner, David I. Ellis, Howbeer Muhamadali, Alex A. Freitas, Samuel Mabbott, María Teresinha Arns Steiner and J. William Allwood and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Elon Correa

34 papers receiving 1.8k 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.

A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding

2015 625 citations Piotr S. Gromski, Howbeer Muhamadali et al. Analytica Chimica Acta profile →

Peers

Elon Correa

BIOPH

SPECT

Fredrik Lindgren Sweden

Jiyao Wang China

Ming Wen China

Camilo L. M. Morais Brazil

Ewa Szymańska Poland

Hongbin Yang China

Yanping Zhou China

Itziar Ruisánchez Spain

Qian Li China

Horacio Pérez‐Sánchez Spain

Fredrik Lindgren Sweden

Elon Correa

749 ×0.8

449 ×1.0

1.3k ×4.1

367 ×1.6

BIOPH

315 ×1.5

SPECT

Citations per year, relative to Elon Correa Elon Correa (= 1×) peers Fredrik Lindgren

Countries citing papers authored by Elon Correa

Since Specialization

Citations

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

Fields of papers citing papers by Elon Correa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elon Correa

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

Gue, Ying X., Elon Correa, John L.P. Thompson, et al.. (2023). Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin and Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial. The American Journal of Medicine. 136(11). 1099–1108.e2. 5 indexed citations

Nabrdalik, Katarzyna, Hanna Kwiendacz, Agata M. Wijata, et al.. (2023). Machine Learning Predicts Cardiovascular Events in Patients With Diabetes: The Silesia Diabetes-Heart Project. Current Problems in Cardiology. 48(7). 101694–101694. 15 indexed citations

Wang, Xianze, et al.. (2020). The integration of artificial intelligence models to augment imaging modalities in pancreatic cancer. SHILAP Revista de lepidopterología. 3(4). 173–180. 5 indexed citations

AlRabiah, Haitham, J. William Allwood, Elon Correa, Yun Xu, & Royston Goodacre. (2018). pH plays a role in the mode of action of trimethoprim on Escherichia coli. PLoS ONE. 13(7). e0200272–e0200272. 25 indexed citations

Han, Thang S., Elon Correa, Michael E. J. Lean, et al.. (2016). Changes in prevalence of obesity and high waist circumference over four years across European regions: the European male ageing study (EMAS). Endocrine. 55(2). 456–469. 22 indexed citations

Allwood, J. William, Yun Xu, Warwick B. Dunn, et al.. (2015). Profiling of spatial metabolite distributions in wheat leaves under normal and nitrate limiting conditions. Phytochemistry. 115. 99–111. 25 indexed citations

Gromski, Piotr S., Howbeer Muhamadali, David I. Ellis, et al.. (2015). A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding. Analytica Chimica Acta. 879. 10–23. 625 indexed citations breakdown →

Brown, Ashley R., Elon Correa, Yun Xu, et al.. (2015). Phenotypic Characterisation of Shewanella oneidensis MR-1 Exposed to X-Radiation. PLoS ONE. 10(6). e0131249–e0131249. 5 indexed citations

Najdekr, Lukáš, David Friedecký, Hana Janečková, et al.. (2015). Oxidized phosphatidylcholines suggest oxidative stress in patients with medium-chain acyl-CoA dehydrogenase deficiency. Talanta. 139. 62–66. 35 indexed citations

10.

Rocca‐Serra, Philippe, Reza M. Salek, Masanori Arita, et al.. (2015). Data standards can boost metabolomics research, and if there is a will, there is a way. Metabolomics. 12(1). 14–14. 106 indexed citations

11.

Gromski, Piotr S., Yun Xu, Elon Correa, et al.. (2014). A comparative investigation of modern feature selection and classification approaches for the analysis of mass spectrometry data. Analytica Chimica Acta. 829. 1–8. 90 indexed citations

12.

Gromski, Piotr S., Elon Correa, Andrew A. Vaughan, et al.. (2014). A comparison of different chemometrics approaches for the robust classification of electronic nose data. Analytical and Bioanalytical Chemistry. 406(29). 7581–7590. 69 indexed citations

13.

AlRabiah, Haitham, Elon Correa, Mathew Upton, & Royston Goodacre. (2013). High-throughput phenotyping of uropathogenic E. coli isolates with Fourier transform infrared spectroscopy. The Analyst. 138(5). 1363–1363. 23 indexed citations

14.

Xu, Yun, Elon Correa, & Royston Goodacre. (2013). Integrating multiple analytical platforms and chemometrics for comprehensive metabolic profiling: application to meat spoilage detection. Analytical and Bioanalytical Chemistry. 405(15). 5063–5074. 22 indexed citations

15.

Barry, Seán T., Karen Dawson, Elon Correa, Royston Goodacre, & Alan O’Riordan. (2013). Highly sensitive detection of nitroaromatic explosives at discrete nanowire arrays. Faraday Discussions. 164. 283–283. 17 indexed citations

16.

Gracie, Kirsten, Elon Correa, Samuel Mabbott, et al.. (2013). Simultaneous detection and quantification of three bacterial meningitis pathogens by SERS. Chemical Science. 5(3). 1030–1040. 134 indexed citations

17.

Correa, Elon, Håvard Sletta, David I. Ellis, et al.. (2012). Rapid reagentless quantification of alginate biosynthesis in Pseudomonas fluorescens bacteria mutants using FT-IR spectroscopy coupled to multivariate partial least squares regression. Analytical and Bioanalytical Chemistry. 403(9). 2591–2599. 21 indexed citations

18.

Wang, Hui, Elon Correa, Warwick B. Dunn, et al.. (2012). Metabolomic analyses show that electron donor and acceptor ratios control anaerobic electron transfer pathways in Shewanella oneidensis. Metabolomics. 9(3). 642–656. 14 indexed citations

19.

Correa, Elon & Royston Goodacre. (2011). A genetic algorithm-Bayesian network approach for the analysis of metabolomics and spectroscopic data: application to the rapid identification of Bacillus spores and classification of Bacillus species. BMC Bioinformatics. 12(1). 33–33. 28 indexed citations

20.

Correa, Elon, et al.. (2001). A genetic algorithm for the P-median problem. University of Salford Institutional Repository (University of Salford). 1268–1275. 36 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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