Chiara Casolino

622 total citations
18 papers, 512 citations indexed

About

Chiara Casolino is a scholar working on Analytical Chemistry, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Chiara Casolino has authored 18 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Analytical Chemistry, 7 papers in Biomedical Engineering and 5 papers in Organic Chemistry. Recurrent topics in Chiara Casolino's work include Spectroscopy and Chemometric Analyses (10 papers), Advanced Chemical Sensor Technologies (7 papers) and Edible Oils Quality and Analysis (4 papers). Chiara Casolino is often cited by papers focused on Spectroscopy and Chemometric Analyses (10 papers), Advanced Chemical Sensor Technologies (7 papers) and Edible Oils Quality and Analysis (4 papers). Chiara Casolino collaborates with scholars based in Italy, Spain and Albania. Chiara Casolino's co-authors include Michele Forina, Monica Casale, C. Pizarro, Paolo Oliveri, Carla Armanino, Silvia Lanteri, Paola Zunin, N. Sinelli, E. Bouveresse and C. de la Pezuela and has published in prestigious journals such as Food Chemistry, Analytica Chimica Acta and Bioorganic & Medicinal Chemistry.

In The Last Decade

Chiara Casolino

18 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Casolino Italy 9 377 194 126 87 86 18 512
Durmuş Özdemir Türkiye 12 200 0.5× 92 0.5× 60 0.5× 94 1.1× 83 1.0× 28 373
Sanjeewa R. Karunathilaka United States 13 336 0.9× 236 1.2× 103 0.8× 200 2.3× 95 1.1× 26 471
Valentina Di Egidio Italy 9 569 1.5× 274 1.4× 139 1.1× 135 1.6× 231 2.7× 12 802
Chunling Yin China 13 334 0.9× 158 0.8× 45 0.4× 117 1.3× 74 0.9× 25 462
Marta Bevilacqua Denmark 15 332 0.9× 179 0.9× 34 0.3× 157 1.8× 123 1.4× 29 619
Denis Ollivier France 8 432 1.1× 219 1.1× 411 3.3× 135 1.6× 194 2.3× 15 708
Jun Bin China 12 419 1.1× 184 0.9× 31 0.2× 93 1.1× 54 0.6× 29 599
Germano Véras Brazil 17 517 1.4× 282 1.5× 31 0.2× 113 1.3× 139 1.6× 54 847
Fernando A. Iñón Argentina 12 530 1.4× 216 1.1× 45 0.4× 82 0.9× 190 2.2× 18 731
I. Esteban-Dı́ez Spain 17 602 1.6× 332 1.7× 69 0.5× 116 1.3× 258 3.0× 29 940

Countries citing papers authored by Chiara Casolino

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Casolino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Casolino

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

All Works

18 of 18 papers shown
1.
Casolino, Chiara, et al.. (2024). Analysing the glaze of a medieval ceramic fragment from the Durres Amphitheater in Albania. Heritage Science. 12(1). 4 indexed citations
2.
3.
Casale, Monica, et al.. (2016). Spectroscopic fingerprinting techniques for food characterisation. ACTA IMEKO. 5(1). 32–32. 3 indexed citations
4.
Casale, Monica, Paolo Oliveri, Chiara Casolino, et al.. (2011). Characterisation of PDO olive oil Chianti Classico by non-selective (UV–visible, NIR and MIR spectroscopy) and selective (fatty acid composition) analytical techniques. Analytica Chimica Acta. 712. 56–63. 96 indexed citations
5.
Casale, Monica, Chiara Casolino, Paolo Oliveri, & Michele Forina. (2009). The potential of coupling information using three analytical techniques for identifying the geographical origin of Liguria extra virgin olive oil. Food Chemistry. 118(1). 163–170. 96 indexed citations
6.
Cichero, Elena, Chiara Casolino, Giulia Menozzi, Luisa Mosti, & Paola Fossa. (2009). Exploring the QSAR of Pyrazolo[3,4‐b]Pyridine, Pyrazolo[3,4‐b]Pyridone and Pyrazolo[3,4‐b]Pyrimidine Derivatives as Antagonists for A1 Adenosine Receptor. QSAR & Combinatorial Science. 28(4). 426–435. 2 indexed citations
7.
Casale, Monica, et al.. (2008). Near Infrared Spectroscopy and Class Modelling Techniques for the Geographical Authentication of Ligurian Extra Virgin Olive Oil. Journal of Near Infrared Spectroscopy. 16(1). 39–47. 45 indexed citations
8.
Casale, Monica, Carla Armanino, Chiara Casolino, & Michele Forina. (2007). Combining information from headspace mass spectrometry and visible spectroscopy in the classification of the Ligurian olive oils. Analytica Chimica Acta. 589(1). 89–95. 42 indexed citations
9.
Casale, Monica, et al.. (2006). A Chemometrical Approach for Vinegar Classification by Headspace Mass Spectrometry of Volatile Compounds. Food Science and Technology Research. 12(3). 223–230. 19 indexed citations
10.
Fossa, Paola, Luisa Mosti, Francesco Bondavalli, et al.. (2005). Affinity prediction on A1 adenosine receptor agonists: The chemometric approach. Bioorganic & Medicinal Chemistry. 14(5). 1348–1363. 2 indexed citations
11.
Forina, Michele, et al.. (2004). Minimum spanning tree: ordering edges to identify clustering structure. Analytica Chimica Acta. 515(1). 43–53. 7 indexed citations
12.
Forina, Michele, et al.. (2003). The refinement of PLS models by iterative weighting of predictor variables and objects. Chemometrics and Intelligent Laboratory Systems. 68(1-2). 29–40. 11 indexed citations
13.
Forina, Michele, Silvia Lanteri, & Chiara Casolino. (2003). Cluster analysis: significance, empty space, clustering tendency, non-uniformity. II--Empty Space index.. PubMed. 93(5-6). 489–98. 1 indexed citations
14.
Forina, Michele, Chiara Casolino, & C. Pizarro. (1999). Iterative predictor weighting (IPW) PLS: a technique for the elimination of useless predictors in regression problems. Journal of Chemometrics. 13(2). 165–184. 117 indexed citations
15.
Forina, Michele, Chiara Casolino, & C. Pizarro. (1999). Iterative predictor weighting (IPW) PLS: a technique for the elimination of useless predictors in regression problems. Journal of Chemometrics. 13(2). 165–184. 7 indexed citations
16.
Bouveresse, E., Chiara Casolino, & C. de la Pezuela. (1998). Application of standardisation methods to correct the spectral differences induced by a fibre optic probe used for the near-infrared analysis of pharmaceutical tablets. Journal of Pharmaceutical and Biomedical Analysis. 18(1-2). 35–42. 24 indexed citations
17.
Pizarro, C., Michele Forina, Chiara Casolino, & Riccardo Leardi. (1998). Extraction of representative subsets by potential functions method and genetic algorithms. Chemometrics and Intelligent Laboratory Systems. 40(1). 33–52. 26 indexed citations
18.
Bouveresse, E., Chiara Casolino, & Désiré-Luc Massart. (1998). Assessing the Validity of Near-Infrared Monochromator Calibrations over Time. Applied Spectroscopy. 52(4). 604–612. 6 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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2026