Rocco Perniola

639 total citations
37 papers, 473 citations indexed

About

Rocco Perniola is a scholar working on Plant Science, Food Science and Tourism, Leisure and Hospitality Management. According to data from OpenAlex, Rocco Perniola has authored 37 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 26 papers in Food Science and 6 papers in Tourism, Leisure and Hospitality Management. Recurrent topics in Rocco Perniola's work include Horticultural and Viticultural Research (27 papers), Fermentation and Sensory Analysis (24 papers) and Plant Physiology and Cultivation Studies (6 papers). Rocco Perniola is often cited by papers focused on Horticultural and Viticultural Research (27 papers), Fermentation and Sensory Analysis (24 papers) and Plant Physiology and Cultivation Studies (6 papers). Rocco Perniola collaborates with scholars based in Italy, Türkiye and France. Rocco Perniola's co-authors include Donato Antonacci, Maria Francesca Cardone, Teodora Basile, Carlo Bergamini, Pasquale Crupi, Marica Gasparro, Angelo Raffaele Caputo, Mario Ventura, Rosa Anna Milella and Antonio Coletta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Plant Journal.

In The Last Decade

Rocco Perniola

33 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocco Perniola Italy 13 360 254 109 82 68 37 473
Clizia Villano Italy 15 492 1.4× 210 0.8× 224 2.1× 52 0.6× 20 0.3× 39 623
René Siret France 13 573 1.6× 501 2.0× 98 0.9× 77 0.9× 22 0.3× 25 648
Anna Katharine Mansfield United States 14 359 1.0× 361 1.4× 92 0.8× 143 1.7× 14 0.2× 30 500
Yohanan Zutahy Israel 13 539 1.5× 193 0.8× 78 0.7× 103 1.3× 8 0.1× 26 590
Yoshie Motomura Japan 13 392 1.1× 110 0.4× 87 0.8× 86 1.0× 28 0.4× 48 456
Johannes Rösti Switzerland 9 316 0.9× 119 0.5× 139 1.3× 17 0.2× 5 0.1× 18 402
D. Evan Evans Australia 20 481 1.3× 391 1.5× 147 1.3× 12 0.1× 5 0.1× 37 836
Zhigang Dong China 11 529 1.5× 106 0.4× 251 2.3× 40 0.5× 5 0.1× 32 649
Renata Mikulíková Czechia 10 238 0.7× 148 0.6× 76 0.7× 27 0.3× 28 0.4× 37 401
H. P. Ruffner Switzerland 16 553 1.5× 251 1.0× 225 2.1× 27 0.3× 4 0.1× 28 632

Countries citing papers authored by Rocco Perniola

Since Specialization
Citations

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

Fields of papers citing papers by Rocco Perniola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rocco Perniola

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

All Works

20 of 20 papers shown
1.
Maggiolini, Flavia Angela Maria, Annalisa Prencipe, Carlo Bergamini, et al.. (2025). A Comparative Transcriptomic Study Reveals Temporal and Genotype-Specific Defense Responses to Botrytis cinerea in Grapevine. Journal of Fungi. 11(2). 124–124. 2 indexed citations
2.
3.
Basile, Teodora, et al.. (2023). Are my kids going to eat it? Sensory analysis mediated by spectroscopic data to predict adolescent food choices. BIO Web of Conferences. 68. 4005–4005.
4.
Milella, Rosa Anna, Mirko De Rosso, Marica Gasparro, et al.. (2023). Correlation between antioxidant and anticancer activity and phenolic profile of new Apulian table grape genotypes (V. Vinifera L.). Frontiers in Plant Science. 13. 1064023–1064023. 11 indexed citations
5.
Basile, Teodora, et al.. (2022). Use of Artificial Neural Networks and NIR Spectroscopy for Non-Destructive Grape Texture Prediction. Foods. 11(3). 281–281. 44 indexed citations
6.
Basile, Teodora, et al.. (2021). NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis. Foods. 10(1). 113–113. 25 indexed citations
7.
Basile, Teodora, et al.. (2020). FT-NIR Analysis of Intact Table Grape Berries to Understand Consumer Preference Driving Factors. Foods. 9(1). 98–98. 16 indexed citations
8.
Perniola, Rocco, et al.. (2019). Fiduciose aspettative nelle uve da tavola del Crea. Rivista di frutticoltura e di ortofloricoltura. 83(1). 18–21.
9.
Marsico, Antonella, et al.. (2018). Nuovi genotipi di V. vinifera poco sensibili a peronospora ottenuti dal Crea. Rivista di frutticoltura e di ortofloricoltura. 82(1). 26–31. 1 indexed citations
10.
Perniola, Rocco, et al.. (2018). Study of the Influence of Different Yeast Strains on Red Wine Fermentation with NIR Spectroscopy and Principal Component Analysis. J — Multidisciplinary Scientific Journal. 1(1). 133–147. 5 indexed citations
11.
Bergamini, Carlo, Rocco Perniola, Maria Francesca Cardone, et al.. (2016). The molecular characterization by SSRs reveals a new South Italian kinship and the origin of the cultivar Uva di Troia. SpringerPlus. 5(1). 1562–1562. 8 indexed citations
12.
13.
Antonacci, Donato, et al.. (2015). Densità di impianto e qualità dell’uva Regal Seedless: selezionato un clone più produttivo. Rivista di frutticoltura e di ortofloricoltura. 77(1). 15–18. 1 indexed citations
14.
Alba, Vittorio, et al.. (2015). Ampelometric Leaf Trait and SSR Loci Selection for a Multivariate Statistical Approach in Vitis vinifera L. Biodiversity Management. Molecular Biotechnology. 57(8). 709–719. 14 indexed citations
15.
Alba, Vittorio, Carlo Bergamini, Maria Francesca Cardone, et al.. (2014). Morphological Variability in Leaves and Molecular Characterization of Novel Table Grape Candidate Cultivars (Vitis vinifera L.). Molecular Biotechnology. 56(6). 557–570. 10 indexed citations
16.
Bergamini, Carlo, Maria Francesca Cardone, Rocco Perniola, et al.. (2013). Validation Assay of p3_VvAGL11 Marker in a Wide Range of Genetic Background for Early Selection of Stenospermocarpy in Vitis vinifera L.. Molecular Biotechnology. 54(3). 1021–1030. 37 indexed citations
17.
Crupi, Pasquale, et al.. (2012). イタリア・アプリア地域で栽培した5種・種なし食用ブドウにおけるフラボノイド化合物のHPLC-DAD-ESI-MS分析. Journal of Food Science. 77. 174–181. 6 indexed citations
18.
Gasparro, Marica, Angelo Raffaele Caputo, Carlo Bergamini, et al.. (2012). Sangiovese and Its Offspring in Southern Italy. Molecular Biotechnology. 54(2). 581–589. 12 indexed citations
19.
Crupi, Pasquale, Antonio Coletta, Rosa Anna Milella, et al.. (2012). HPLC‐DAD‐ESI‐MS Analysis of Flavonoid Compounds in 5 Seedless Table Grapes Grown in Apulian Region. Journal of Food Science. 77(2). C174–81. 40 indexed citations
20.
Antonacci, Donato & Rocco Perniola. (2005). La vitivinicoltura pugliese. 32(4). 116–122. 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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