Stefano Musacchi

2.7k total citations · 1 hit paper
93 papers, 2.1k citations indexed

About

Stefano Musacchi is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Stefano Musacchi has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 30 papers in Molecular Biology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Stefano Musacchi's work include Plant Physiology and Cultivation Studies (74 papers), Horticultural and Viticultural Research (50 papers) and Postharvest Quality and Shelf Life Management (30 papers). Stefano Musacchi is often cited by papers focused on Plant Physiology and Cultivation Studies (74 papers), Horticultural and Viticultural Research (50 papers) and Postharvest Quality and Shelf Life Management (30 papers). Stefano Musacchi collaborates with scholars based in United States, Italy and Netherlands. Stefano Musacchi's co-authors include Sara Serra, Brendon M. Anthony, S. Sansavini, Lee Kalcsits, Fabrizio Costa, Desmond R. Layne, Tory Schmidt, S. Stella, Eric van de Weg and Andrea Masia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Experimental Botany.

In The Last Decade

Stefano Musacchi

86 papers receiving 1.9k citations

Hit Papers

Apple fruit quality: Overview on pre-harvest factors 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Musacchi United States 26 1.8k 478 176 160 135 93 2.1k
Mary Lu Arpaia United States 24 1.6k 0.9× 201 0.4× 244 1.4× 140 0.9× 69 0.5× 114 1.9k
Manuel Agustí Spain 36 3.2k 1.7× 1.5k 3.1× 147 0.8× 132 0.8× 246 1.8× 152 3.4k
R. E. Knox Canada 34 3.3k 1.8× 371 0.8× 132 0.8× 187 1.2× 68 0.5× 169 3.6k
Mathieu Léchaudel France 23 1.0k 0.6× 201 0.4× 178 1.0× 81 0.5× 40 0.3× 68 1.3k
I. Iglesias Spain 22 1.4k 0.7× 542 1.1× 434 2.5× 83 0.5× 88 0.7× 50 1.7k
M.Á. Moreno Spain 34 2.7k 1.5× 585 1.2× 289 1.6× 576 3.6× 182 1.3× 130 3.0k
D.S. Tustin New Zealand 20 1.5k 0.8× 562 1.2× 35 0.2× 161 1.0× 120 0.9× 79 1.6k
Boris Basile Italy 23 1.4k 0.7× 215 0.4× 98 0.6× 77 0.5× 73 0.5× 94 1.6k
Robert R. Krueger United States 19 1.5k 0.8× 561 1.2× 68 0.4× 240 1.5× 186 1.4× 51 1.8k
Cassandro Vidal Talamini do Amarante Brazil 22 1.5k 0.8× 169 0.4× 153 0.9× 92 0.6× 65 0.5× 140 1.8k

Countries citing papers authored by Stefano Musacchi

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Musacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Musacchi

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Musacchi. A scholar is included among the top collaborators of Stefano Musacchi 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 Stefano Musacchi. Stefano Musacchi 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
2.
Berim, Anna, et al.. (2023). Rootstock and Crop Load Effects on ‘Honeycrisp’ Photosynthetic Performance and Carbohydrate Accumulation. Plants. 12(23). 4035–4035. 5 indexed citations
3.
Serra, Sara, et al.. (2023). Effects of harvest timing on maturity, fruit quality, and consumer acceptance of ‘WA 38’ apples. Acta Horticulturae. 61–68. 1 indexed citations
4.
Musacchi, Stefano. (2021). Physiological basis of pear pruning and light effects on fruit quality. Acta Horticulturae. 151–162. 2 indexed citations
5.
Serra, Sara, Brendon M. Anthony, Andrea Masia, D. Giovannini, & Stefano Musacchi. (2020). Determination of Biochemical Composition in Peach (Prunus persica L. Batsch) Accessions Characterized by Different Flesh Color and Textural Typologies. Foods. 9(10). 1452–1452. 34 indexed citations
6.
Schmidt, Tory, Desmond R. Layne, Sara Serra, et al.. (2019). Use of protective netting in Washington State apple production. 8 indexed citations
7.
Serra, Sara, et al.. (2019). Consumer perception of d'Anjou pear classified by dry matter at harvest using near‐infrared spectroscopy. International Journal of Food Science & Technology. 54(6). 2256–2265. 4 indexed citations
8.
Anthony, Brendon M., et al.. (2018). Optimization of Leaf Area Estimation in a High-Density Apple Orchard Using Hemispherical Photography. HortScience. 53(6). 799–804. 8 indexed citations
9.
Serra, Sara, et al.. (2018). Postharvest Dry Matter and Soluble Solids Content Prediction in d’Anjou and Bartlett Pear Using Near-infrared Spectroscopy. HortScience. 53(5). 669–680. 24 indexed citations
10.
Musacchi, Stefano, et al.. (2018). Protective Netting Improves Leaf-level Photosynthetic Light Use Efficiency in ‘Honeycrisp’ Apple Under Heat Stress. HortScience. 53(10). 1416–1422. 31 indexed citations
11.
Rudell, David R., et al.. (2017). Survey of ‘d’Anjou’ Pear Metabolic Profile Following Harvest from Different Canopy Positions and Fruit Tissues. HortScience. 52(11). 1501–1510. 16 indexed citations
12.
Serra, Sara, et al.. (2016). Crop Load Influences Fruit Quality, Nutritional Balance, and Return Bloom in ‘Honeycrisp’ Apple. HortScience. 51(3). 236–244. 81 indexed citations
13.
Musacchi, Stefano, et al.. (2015). New Training Systems for High-density Planting of Sweet Cherry. HortScience. 50(1). 59–67. 32 indexed citations
14.
Corso, Massimiliano, Claudio Bonghi, Alessandra Dal Molin, et al.. (2015). EFFECT OF COOL STORAGE DURATION ON RIPENING INITIATION OF 'ANGELYS®' PEAR FRUIT. Acta Horticulturae. 129–136. 1 indexed citations
15.
Musacchi, Stefano, et al.. (2011). COMPARISON AMONG PEAR TRAINING SYSTEMS AND ROOTSTOCKS FOR HIGH DENSITY PLANTING (HDP) OF THE CULTIVAR 'ABBÉ FÉTEL'. Acta Horticulturae. 251–258. 7 indexed citations
16.
Musacchi, Stefano, et al.. (2006). Qualità e resistenza alle malattie nei programmi di miglioramento genetico a Bologna. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 68(10). 20–23. 1 indexed citations
17.
Cantore, V., et al.. (2000). Application of brackish water for orchard fruit growing in Italy.. 62. 26–36. 3 indexed citations
18.
Musacchi, Stefano, Giampiero Pagliuca, M. Victoria Kindt, Marco Vincenzo Piretti, & Silviero Sansavini. (2000). Flavonoids as markers for pear-quince graft Incompatibility. 74. 206–211. 30 indexed citations
19.
Sansavini, S. & Stefano Musacchi. (2000). New pear orchards: densities, rootstocks, training systems.. 62(9).
20.
Sansavini, S., M. Castagnoli, & Stefano Musacchi. (1997). [New rootstocks for William and Abate Fetel cultivars of pear tree. Comparison between progenies of quince tree and clonal stocks [Pyrus communis]]. 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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