Raquel Cumeras

1.1k total citations
29 papers, 763 citations indexed

About

Raquel Cumeras is a scholar working on Biomedical Engineering, Spectroscopy and Molecular Biology. According to data from OpenAlex, Raquel Cumeras has authored 29 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 10 papers in Spectroscopy and 8 papers in Molecular Biology. Recurrent topics in Raquel Cumeras's work include Advanced Chemical Sensor Technologies (16 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Analytical Chemistry and Chromatography (7 papers). Raquel Cumeras is often cited by papers focused on Advanced Chemical Sensor Technologies (16 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Analytical Chemistry and Chromatography (7 papers). Raquel Cumeras collaborates with scholars based in Spain, United States and Germany. Raquel Cumeras's co-authors include Cristina E. Davis, I. Gràcia, E. Figueras, Jan Baumbach, J. Brezmes, Wojciech Filipiak, Karl Unterkofler, Anna Filipiak, Agapios Agapiou and Clemens Ager and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and Analytica Chimica Acta.

In The Last Decade

Raquel Cumeras

27 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raquel Cumeras Spain	12	465	351	227	109	55	29	763
Maria Allers Germany	13	524 1.1×	437 1.2×	83 0.4×	198 1.8×	77 1.4×	31	744
Stefanie Sielemann Germany	15	488 1.0×	584 1.7×	110 0.5×	170 1.6×	79 1.4×	28	815
Stamatios Giannoukos Switzerland	17	309 0.7×	511 1.5×	184 0.8×	54 0.5×	140 2.5×	49	797
Simone Cristoni Italy	18	347 0.7×	174 0.5×	311 1.4×	78 0.7×	29 0.5×	62	834
Marcos Bouza Spain	14	214 0.5×	170 0.5×	145 0.6×	116 1.1×	37 0.7×	33	491
Arno Wortmann Switzerland	14	762 1.6×	291 0.8×	359 1.6×	127 1.2×	54 1.0×	17	942
Jaroslav Pól Finland	17	741 1.6×	308 0.9×	316 1.4×	227 2.1×	15 0.3×	27	1.1k
Markus Haapala Finland	18	746 1.6×	434 1.2×	166 0.7×	173 1.6×	95 1.7×	44	1.1k
Matthew A. Turner United Kingdom	17	207 0.4×	250 0.7×	258 1.1×	43 0.4×	25 0.5×	38	715
Ewelina P. Dutkiewicz Taiwan	12	232 0.5×	165 0.5×	202 0.9×	69 0.6×	47 0.9×	14	543

Countries citing papers authored by Raquel Cumeras

Since Specialization

Citations

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

Fields of papers citing papers by Raquel Cumeras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Cumeras

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

Kloet, Frans van der, Saer Samanipour, Pierre‐Hugues Stefanuto, et al.. (2025). GcDUO: an open-source software for GC × GC–MS data analysis. Briefings in Bioinformatics. 26(2).

Correig, Eudald, et al.. (2024). Easy‐Amanida: An R Shiny application for the meta‐analysis of aggregate results in clinical metabolomics using Amanida and Webchem. Research Synthesis Methods. 15(4). 687–699. 1 indexed citations

Ramírez, Noelia, et al.. (2024). SPME arrow-based extraction for enhanced targeted and untargeted urinary volatilomics. Analytica Chimica Acta. 1329. 343261–343261. 1 indexed citations

Martínez-Banaclocha, Natividad, Joan R. Badia, M. Blanes, et al.. (2024). A Descriptive Study of 103 Primary Cutaneous B-Cell Lymphomas: Clinical and Pathological Characteristics and Treatment from the Spanish Lymphoma Oncology Group (GOTEL). Cancers. 16(5). 1034–1034. 2 indexed citations

Gumà, Josep, et al.. (2023). A Metabolites Merging Strategy (MMS): Harmonization to Enable Studies’ Intercomparison. Metabolites. 13(12). 1167–1167. 1 indexed citations

Cumeras, Raquel, et al.. (2023). Differences in the Stool Metabolome between Vegans and Omnivores: Analyzing the NIST Stool Reference Material. Metabolites. 13(8). 921–921. 4 indexed citations

Brezmes, J., et al.. (2022). The untargeted urine volatilome for biomedical applications: methodology and volatilome database. Biological Procedures Online. 24(1). 20–20. 11 indexed citations

Cumeras, Raquel, et al.. (2021). Comprehensive Volatilome and Metabolome Signatures of Colorectal Cancer in Urine: A Systematic Review and Meta-Analysis. Cancers. 13(11). 2534–2534. 34 indexed citations

Schivo, Michael, Alexander A. Aksenov, Alberto Pasamontes, et al.. (2017). A rabbit model for assessment of volatile metabolite changes observed from skin: a pressure ulcer case study. Journal of Breath Research. 11(1). 16007–16007. 5 indexed citations

10.

Cumeras, Raquel. (2017). Volatilome Metabolomics and Databases, Recent Advances and Needs. 5(2). 11 indexed citations

11.

Filipiak, Wojciech, Paweł Mochalski, Anna Filipiak, et al.. (2016). A Compendium of Volatile Organic Compounds (VOCs) Released By Human Cell Lines. Current Medicinal Chemistry. 23(20). 2112–2131. 97 indexed citations

12.

Cumeras, Raquel, et al.. (2016). Identification of fungal metabolites from inside Gallus gallus domesticus eggshells by non-invasively detecting volatile organic compounds (VOCs). Analytical and Bioanalytical Chemistry. 408(24). 6649–6658. 7 indexed citations

13.

McCartney, Mitchell M., et al.. (2015). Coupling a branch enclosure with differential mobility spectrometry to isolate and measure plant volatiles in contained greenhouse settings. Talanta. 146. 148–154. 17 indexed citations

14.

Cumeras, Raquel, et al.. (2014). Chemical Analysis of Whale Breath Volatiles: A Case Study for Non-Invasive Field Health Diagnostics of Marine Mammals. Metabolites. 4(3). 790–806. 17 indexed citations

15.

Gràcia, I., Stella Vallejos, Raquel Cumeras, et al.. (2013). Sensors and Micro and Nano Technologies for the Food Sector. 13. 103–106.

16.

Cumeras, Raquel, et al.. (2012). Stability and alignment of MCC/IMS devices. International Journal for Ion Mobility Spectrometry. 15(1). 41–46. 11 indexed citations

17.

Cumeras, Raquel, I. Gràcia, E. Figueras, et al.. (2011). Planar Micro Ion Mobility Spectrometer modelling for explosives detection. 1–4. 1 indexed citations

18.

Cumeras, Raquel, I. Gràcia, E. Figueras, et al.. (2010). Modeling vapor detection in a micro ion mobility spectrometer for security applications. Procedia Engineering. 5. 1236–1239. 3 indexed citations

19.

Cumeras, Raquel, I. Gràcia, E. Figueras, et al.. (2010). Modelling a P-FAIMS with multiphysics FEM. Journal of Mathematical Chemistry. 50(2). 359–373. 5 indexed citations

20.

Cumeras, Raquel, I. Gràcia, P. Ivanov, N. Sabaté, & C. Cané. (2009). COMSOL Simulation of acetone ions in Planar Ion Mobility Spectrometer. 77. 323–326. 1 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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