Daniel Cañueto

536 total citations
8 papers, 393 citations indexed

About

Daniel Cañueto is a scholar working on Molecular Biology, Physiology and Analytical Chemistry. According to data from OpenAlex, Daniel Cañueto has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Analytical Chemistry. Recurrent topics in Daniel Cañueto's work include Metabolomics and Mass Spectrometry Studies (6 papers), Diet and metabolism studies (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). Daniel Cañueto is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Diet and metabolism studies (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). Daniel Cañueto collaborates with scholars based in Spain, United Kingdom and Germany. Daniel Cañueto's co-authors include Reza M. Salek, Rachel Spicer, Pablo Moreno, Christoph Steinbeck, Nicolau Cañellas, Xavier Correig, Pablo Hernández‐Alonso, Jordi Salas‐Salvadó, Mònica Bulló and Simona Giardina and has published in prestigious journals such as Gastroenterology, Scientific Reports and Molecular Nutrition & Food Research.

In The Last Decade

Daniel Cañueto

7 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Cañueto Spain 6 261 78 60 53 52 8 393
Magali Sarafian United Kingdom 8 409 1.6× 101 1.3× 118 2.0× 21 0.4× 21 0.4× 12 657
Danielle Anderson United States 9 244 0.9× 35 0.4× 72 1.2× 9 0.2× 32 0.6× 15 431
Fangcong Dong United States 11 450 1.7× 162 2.1× 34 0.6× 34 0.6× 19 0.4× 16 670
Rachel E. Walker United States 9 255 1.0× 106 1.4× 9 0.1× 32 0.6× 21 0.4× 24 548
Hannah Lees United Kingdom 8 288 1.1× 122 1.6× 16 0.3× 13 0.2× 8 0.2× 10 413
Magalí Palau‐Rodriguez Spain 10 331 1.3× 202 2.6× 15 0.3× 8 0.2× 14 0.3× 10 506
Marco Pallecchi Italy 14 209 0.8× 62 0.8× 44 0.7× 18 0.3× 5 0.1× 45 490
Olga Deda Greece 15 347 1.3× 130 1.7× 53 0.9× 4 0.1× 40 0.8× 42 547
Concetta Boniglia Italy 13 83 0.3× 42 0.5× 29 0.5× 4 0.1× 48 0.9× 34 575

Countries citing papers authored by Daniel Cañueto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cañueto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Cañueto

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

All Works

8 of 8 papers shown
1.
Cañueto, Daniel, Reza M. Salek, Mònica Bulló, Xavier Correig, & Nicolau Cañellas. (2022). Application of Machine Learning Solutions to Optimize Parameter Prediction to Enhance Automatic NMR Metabolite Profiling. Metabolites. 12(4). 283–283.
2.
Mego, Marianela, Chaysavanh Manichanh, Nicolau Cañellas, et al.. (2018). Effects of Prebiotics vs a Diet Low in FODMAPs in Patients With Functional Gut Disorders. Gastroenterology. 155(4). 1004–1007. 80 indexed citations
3.
Miranda, Jezid, Rui V. Simões, Cristina Paulés, et al.. (2018). Metabolic profiling and targeted lipidomics reveals a disturbed lipid profile in mothers and fetuses with intrauterine growth restriction. Scientific Reports. 8(1). 13614–13614. 40 indexed citations
4.
Cañueto, Daniel, Josep Gómez, Reza M. Salek, Xavier Correig, & Nicolau Cañellas. (2018). rDolphin: a GUI R package for proficient automatic profiling of 1D 1H-NMR spectra of study datasets. Metabolomics. 14(3). 24–24. 42 indexed citations
5.
Cañueto, Daniel, Reza M. Salek, Xavier Correig, & Nicolau Cañellas. (2018). Improving sample classification by harnessing the potential of 1H-NMR signal chemical shifts. Scientific Reports. 8(1). 11886–11886. 5 indexed citations
6.
Hernández‐Alonso, Pablo, Simona Giardina, Daniel Cañueto, et al.. (2018). Changes in Plasma Metabolite Concentrations after a Low‐Glycemic Index Diet Intervention. Molecular Nutrition & Food Research. 63(1). e1700975–e1700975. 25 indexed citations
7.
Spicer, Rachel, Reza M. Salek, Pablo Moreno, Daniel Cañueto, & Christoph Steinbeck. (2017). Navigating freely-available software tools for metabolomics analysis. Metabolomics. 13(9). 106–106. 155 indexed citations
8.
Hernández‐Alonso, Pablo, Daniel Cañueto, Simona Giardina, et al.. (2017). Effect of pistachio consumption on the modulation of urinary gut microbiota-related metabolites in prediabetic subjects. The Journal of Nutritional Biochemistry. 45. 48–53. 46 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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