Rosa Ragone

434 total citations
11 papers, 271 citations indexed

About

Rosa Ragone is a scholar working on Molecular Biology, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Rosa Ragone has authored 11 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Analytical Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Rosa Ragone's work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Chemical Sensor Technologies (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). Rosa Ragone is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Chemical Sensor Technologies (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). Rosa Ragone collaborates with scholars based in Italy and United States. Rosa Ragone's co-authors include Francesco Paolo Schena, Francesco Paolo Fanizzi, Sara Piccinonna, Vanessa Galleggiante, Monica Rutigliano, Laura Del Coco, Giuseppe Lucarelli, Silvano Palazzo, Pasquale Ditonno and Fabio Sallustio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Rosa Ragone

10 papers receiving 265 citations

Peers

Rosa Ragone

PRM

Satoru Ito Japan

Yuxin Xie China

Shambhu Roy United States

U Keller Switzerland

Mengxue Chen China

Rupshee Jain India

Tetyana Kobets United States

Wenquan Lu China

Che-Han Hsu Taiwan

Satoru Ito Japan

Rosa Ragone

153 ×1.2

25 ×0.3

27 ×0.4

PRM

49 ×0.9

12 ×0.3

Citations per year, relative to Rosa Ragone Rosa Ragone (= 1×) peers Satoru Ito

Countries citing papers authored by Rosa Ragone

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Ragone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Ragone

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

All Works

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11 of 11 papers shown

Musio, Biagia, Rosa Ragone, Stefano Todisco, et al.. (2024). Non-Targeted Nuclear Magnetic Resonance Analysis for Food Authenticity: A Comparative Study on Tomato Samples. Molecules. 29(18). 4441–4441. 3 indexed citations

D’Orazio, Giuseppe, Rosa Ragone, Antonino Rizzuti, et al.. (2024). dl‐Limonene as an Alternative Sustainable Solvent to Xylenes for the Industrial Preparation of Release Formulations. ChemistryOpen. 14(5). e202400259–e202400259. 1 indexed citations

Mali, Matilda, Rosa Ragone, Maria Michela Dell’Anna, et al.. (2022). Improved identification of pollution source attribution by using PAH ratios combined with multivariate statistics. Scientific Reports. 12(1). 19298–19298. 17 indexed citations

Musio, Biagia, Ahmed Morsi, Mario Latronico, et al.. (2021). A spectroscopic study to assess heavy metals absorption by a combined hemp/spirulina system from contaminated soil. Environmental Advances. 7. 100144–100144. 5 indexed citations

Tufariello, Maria, Antonino Rizzuti, Lorenzo Palombi, et al.. (2021). Non-targeted metabolomic approach as a tool to evaluate the chemical profile of sparkling wines fermented with autochthonous yeast strains. Food Control. 126. 108099–108099. 13 indexed citations

Ragone, Rosa, Franco Santoro, Vito Gallo, et al.. (2021). A non-targeted metabolomics study on Xylella fastidiosa infected olive plants grown under controlled conditions. Scientific Reports. 11(1). 1070–1070. 17 indexed citations

Ragone, Rosa, Stefano Todisco, Mario Latronico, et al.. (2020). Development of a food class-discrimination system by non-targeted NMR analyses using different magnetic field strengths. Food Chemistry. 332. 127339–127339. 13 indexed citations

Binetti, Giulio, Laura Del Coco, Rosa Ragone, et al.. (2016). Cultivar classification of Apulian olive oils: Use of artificial neural networks for comparing NMR, NIR and merceological data. Food Chemistry. 219. 131–138. 44 indexed citations

Ragone, Rosa, Fabio Sallustio, Sara Piccinonna, et al.. (2016). Renal Cell Carcinoma: A Study through NMR-Based Metabolomics Combined with Transcriptomics. SHILAP Revista de lepidopterología. 4(1). 7–7. 99 indexed citations

10.

Piccinonna, Sara, Rosa Ragone, Matteo Stocchero, et al.. (2015). Robustness of NMR-based metabolomics to generate comparable data sets for olive oil cultivar classification. An inter-laboratory study on Apulian olive oils. Food Chemistry. 199. 675–683. 33 indexed citations

11.

Ragone, Rosa, Pasquale Crupi, Sara Piccinonna, et al.. (2015). Classification and chemometric study of Southern Italy monovarietal wines based on NMR and HPLC-DAD-MS. Food Science and Biotechnology. 24(3). 817–826. 26 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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