Carmen Piñeiro

833 total citations
15 papers, 579 citations indexed

About

Carmen Piñeiro is a scholar working on Molecular Biology, Animal Science and Zoology and Biomedical Engineering. According to data from OpenAlex, Carmen Piñeiro has authored 15 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Animal Science and Zoology and 4 papers in Biomedical Engineering. Recurrent topics in Carmen Piñeiro's work include Identification and Quantification in Food (10 papers), Meat and Animal Product Quality (7 papers) and Aquaculture disease management and microbiota (3 papers). Carmen Piñeiro is often cited by papers focused on Identification and Quantification in Food (10 papers), Meat and Animal Product Quality (7 papers) and Aquaculture disease management and microbiota (3 papers). Carmen Piñeiro collaborates with scholars based in Spain, Portugal and Germany. Carmen Piñeiro's co-authors include José M. Gallardo, Jesús Vázquez, Mónica Carrera, Benito Cañas, Jorge Barros‐Velázquez, Ricardo I. Pérez‐Martín, Cármen G. Sotelo, Iciar Martı́nez, Anabel Marina and José Manuel Gallardo and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Carmen Piñeiro

15 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Piñeiro Spain 12 447 226 108 106 74 15 579
Olivier Fumière Belgium 15 424 0.9× 207 0.9× 28 0.3× 68 0.6× 33 0.4× 26 660
H. Rehbein Germany 14 653 1.5× 303 1.3× 11 0.1× 252 2.4× 144 1.9× 29 799
Denise Schrama Portugal 15 145 0.3× 65 0.3× 19 0.2× 150 1.4× 290 3.9× 32 559
Ana Céspedes Spain 13 420 0.9× 122 0.5× 3 0.0× 168 1.6× 38 0.5× 17 448
Rebekah Woolsey United States 12 569 1.3× 11 0.0× 23 0.2× 157 1.5× 10 0.1× 15 836
Rudolf Hiesel Germany 16 1.7k 3.7× 51 0.2× 14 0.1× 130 1.2× 14 0.2× 23 1.8k
Michael Unseld Germany 13 1.4k 3.0× 53 0.2× 10 0.1× 123 1.2× 14 0.2× 20 1.5k
Riccardo Melis Italy 10 112 0.3× 30 0.1× 6 0.1× 57 0.5× 135 1.8× 21 354
João Carneiro Portugal 13 423 0.9× 23 0.1× 5 0.0× 120 1.1× 11 0.1× 34 660

Countries citing papers authored by Carmen Piñeiro

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Piñeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Piñeiro

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

All Works

15 of 15 papers shown
1.
Martı́nez, Iciar, Isabel Sánchez‐Alonso, Carmen Piñeiro, Mercedes Careche, & Mónica Carrera. (2020). Protein Signatures to Trace Seafood Contamination and Processing. Foods. 9(12). 1751–1751. 10 indexed citations
2.
Carrera, Mónica, Carmen Piñeiro, & Iciar Martı́nez. (2020). Proteomic Strategies to Evaluate the Impact of Farming Conditions on Food Quality and Safety in Aquaculture Products. Foods. 9(8). 1050–1050. 17 indexed citations
3.
Amado, Isabel R., et al.. (2014). Identification of the Major ACE-Inhibitory Peptides Produced by Enzymatic Hydrolysis of a Protein Concentrate from Cuttlefish Wastewater. Marine Drugs. 12(3). 1390–1405. 34 indexed citations
4.
Carrera, Mónica, Benito Cañas, Daniel López‐Ferrer, et al.. (2011). Fast Monitoring of Species-Specific Peptide Biomarkers Using High-Intensity-Focused-Ultrasound-Assisted Tryptic Digestion and Selected MS/MS Ion Monitoring. Analytical Chemistry. 83(14). 5688–5695. 55 indexed citations
5.
Pascual, Santiago, et al.. (2010). Anisakis survival in refrigerated fish products under CO2 modified-atmosphere. Food Control. 21(9). 1254–1256. 10 indexed citations
6.
Piñeiro, Carmen, Benito Cañas, & Mónica Carrera. (2009). The role of proteomics in the study of the influence of climate change on seafood products. Food Research International. 43(7). 1791–1802. 18 indexed citations
7.
Carrera, Mónica, Benito Cañas, Carmen Piñeiro, Jesús Vázquez, & José M. Gallardo. (2007). De Novo Mass Spectrometry Sequencing and Characterization of Species-Specific Peptides from Nucleoside Diphosphate Kinase B for the Classification of Commercial Fish Species Belonging to the Family Merlucciidae. Journal of Proteome Research. 6(8). 3070–3080. 49 indexed citations
8.
Carrera, Mónica, Benito Cañas, Carmen Piñeiro, Jesús Vázquez, & José Manuel Gallardo. (2006). Identification of commercial hake and grenadier species by proteomic analysis of the parvalbumin fraction. PROTEOMICS. 6(19). 5278–5287. 63 indexed citations
9.
Piñeiro, Carmen, Jorge Barros‐Velázquez, Jesús Vázquez, António Figueras, & José M. Gallardo. (2002). Proteomics as a Tool for the Investigation of Seafood and Other Marine Products. Journal of Proteome Research. 2(2). 127–135. 66 indexed citations
10.
Piñeiro, Carmen, Jesús Vázquez, Anabel Marina, Jorge Barros‐Velázquez, & José M. Gallardo. (2001). Characterization and partial sequencing of species-specific sarcoplasmic polypeptides from commercial hake species by mass spectrometry following two-dimensional electrophoresis. Electrophoresis. 22(8). 1545–1552. 71 indexed citations
11.
Rehbein, Hartmut, et al.. (2000). Fish muscle parvalbumins as marker proteins for native and urea isoelectric focusing. Electrophoresis. 21(8). 1458–1463. 1 indexed citations
12.
Piñeiro, Carmen, Jorge Barros‐Velázquez, Ricardo I. Pérez‐Martín, et al.. (1999). Development of a sodium dodecyl sulfate-polyacrylamide gel electrophoresis reference method for the analysis and identification of fish species in raw and heat-processed samples: A collaborative study. Electrophoresis. 20(7). 1425–1432. 76 indexed citations
13.
Piñeiro, Carmen, Jorge Barros‐Velázquez, Cármen G. Sotelo, & José M. Gallardo. (1999). The use of two-dimensional electrophoresis in the characterization of the water-soluble protein fraction of commercial flat fish species. Zeitschrift für Lebensmittel-Untersuchung und -Forschung. B, Referate und Lebensmittelrecht. 208(5-6). 342–348. 21 indexed citations
14.
Rehbein, Hartmut, Ingrid Malmheden Yman, Monique Etienne, et al.. (1999). Species identification of cooked fish by urea isoelectric focusing and sodium dodecylsulfate polyacrylamide gel electrophoresis. Food Chemistry. 67(4). 333–339. 35 indexed citations
15.
Gallardo, José M., Cármen G. Sotelo, Carmen Piñeiro, & Ricardo I. Pérez‐Martín. (1995). Use of Capillary Zone Electrophoresis for Fish Species Identification. Differentiation of Flatfish Species. Journal of Agricultural and Food Chemistry. 43(5). 1238–1244. 53 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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