Sandro Cavicchi

1.8k total citations
46 papers, 1.5k citations indexed

About

Sandro Cavicchi is a scholar working on Ecology, Genetics and Molecular Biology. According to data from OpenAlex, Sandro Cavicchi has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 17 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Sandro Cavicchi's work include Physiological and biochemical adaptations (16 papers), Morphological variations and asymmetry (11 papers) and Genetic diversity and population structure (8 papers). Sandro Cavicchi is often cited by papers focused on Physiological and biochemical adaptations (16 papers), Morphological variations and asymmetry (11 papers) and Genetic diversity and population structure (8 papers). Sandro Cavicchi collaborates with scholars based in Italy, United States and Denmark. Sandro Cavicchi's co-authors include Daniela Guerra, Gianfranco Giorgi, Flavio Garoia, Brian R. Bettencourt, Martin E. Feder, Vincenzo Trotta, Daniela Grifoni, Marcello Ziosi, Annalisa Pession and Raymond B. Huey and has published in prestigious journals such as Oncogene, Genetics and Evolution.

In The Last Decade

Sandro Cavicchi

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandro Cavicchi Italy 23 566 527 419 393 333 46 1.5k
Daniela Guerra Italy 11 344 0.6× 132 0.3× 230 0.5× 279 0.7× 63 0.2× 22 695
Pamela F. Colosimo United States 8 404 0.7× 654 1.2× 1.4k 3.3× 441 1.1× 99 0.3× 8 2.1k
Lynn Stam United States 15 98 0.2× 644 1.2× 615 1.5× 237 0.6× 199 0.6× 17 1.5k
Jean S. Deutsch France 24 313 0.6× 1.5k 2.9× 415 1.0× 437 1.1× 102 0.3× 57 2.2k
Virginie Courtier‐Orgogozo France 21 293 0.5× 1.4k 2.7× 1.5k 3.5× 704 1.8× 144 0.4× 52 2.9k
Yingguang Frank Chan United States 21 385 0.7× 761 1.4× 1.5k 3.5× 462 1.2× 67 0.2× 45 2.4k
Guillaume Balavoine France 25 449 0.8× 1.9k 3.5× 408 1.0× 406 1.0× 151 0.5× 38 2.9k
Alistair P. McGregor United Kingdom 29 143 0.3× 1.9k 3.7× 996 2.4× 483 1.2× 210 0.6× 66 2.8k
Paolo Franchini Germany 27 509 0.9× 702 1.3× 898 2.1× 273 0.7× 74 0.2× 60 2.1k
Ricardo Mallarino United States 17 168 0.3× 300 0.6× 543 1.3× 490 1.2× 169 0.5× 29 1.2k

Countries citing papers authored by Sandro Cavicchi

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Cavicchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandro Cavicchi

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Cavicchi. A scholar is included among the top collaborators of Sandro Cavicchi 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 Sandro Cavicchi. Sandro Cavicchi 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.
Ziosi, Marcello, Luis Alberto Baena-López, Daniela Grifoni, et al.. (2010). dMyc Functions Downstream of Yorkie to Promote the Supercompetitive Behavior of Hippo Pathway Mutant Cells. PLoS Genetics. 6(9). e1001140–e1001140. 153 indexed citations
2.
Grifoni, Daniela, Flavio Garoia, Paola Bellosta, et al.. (2007). aPKCζ cortical loading is associated with Lgl cytoplasmic release and tumor growth in Drosophila and human epithelia. Oncogene. 26(40). 5960–5965. 61 indexed citations
3.
Pertoldi, Cino, et al.. (2007). The impact of genetic parental distance on developmental stability and fitness in Drosophila buzzatii. Genetica. 134(2). 223–233. 4 indexed citations
4.
Trotta, Vincenzo, Federico C. F. Calboli, Marcello Ziosi, et al.. (2006). Thermal plasticity in Drosophila melanogaster: a comparison of geographic populations.. BMC Evolutionary Biology. 6(1). 67–67. 98 indexed citations
5.
Boattini, Alessio, Federico C. F. Calboli, Paola Gueresi, et al.. (2006). Migration matrices and surnames in populations with different isolation patterns: Val di Lima (Italian Apennines), Val di Sole (Italian Alps), and La Cabrera (Spain). American Journal of Human Biology. 18(5). 676–690. 10 indexed citations
6.
Trotta, Vincenzo, et al.. (2005). Developmental instability of the Drosophila wing as an index of genomic perturbation and altered cell proliferation. Evolution & Development. 7(3). 234–243. 11 indexed citations
7.
Trotta, Vincenzo, et al.. (2005). Fluctuating asymmetry as a measure of ecological stress in Drosophila melanogaster (Diptera: Drosophilidae). European Journal of Entomology. 102(2). 195–200. 27 indexed citations
8.
Garoia, Flavio, et al.. (2004). The tumor suppressor gene fat modulates the EGFR-mediated proliferation control in the imaginal tissues of Drosophila melanogaster. Mechanisms of Development. 122(2). 175–187. 22 indexed citations
9.
Krebs, Robert A., et al.. (2004). Heat-Shock Resistance in Drosophila Populations: Analysis of Variation in Reciprocal Cross Progeny. Hereditas. 124(1). 47–55. 6 indexed citations
10.
Guerra, Daniela, Volker Loeschcke, & Sandro Cavicchi. (2004). Chromosomal and Cytoplasmic Analysis of Heat Shock Resistance in Natural Populations of Drosophila Melanogaster. Hereditas. 132(2). 143–149. 3 indexed citations
11.
Grifoni, Daniela, Flavio Garoia, C Schimanski, et al.. (2004). The human protein Hugl-1 substitutes for Drosophila Lethal giant larvae tumour suppressor function in vivo. Oncogene. 23(53). 8688–8694. 100 indexed citations
12.
Luchetti, Andrea, Michele Cesari, Sandro Cavicchi, et al.. (2003). Unisexuality and Molecular Drive: Bag320 Sequence Diversity in Bacillus Taxa (Insecta Phasmatodea). Journal of Molecular Evolution. 56(5). 587–596. 35 indexed citations
13.
Garoia, Flavio, et al.. (2000). Cell behaviour of Drosophila fat cadherin mutations in wing development. Mechanisms of Development. 94(1-2). 95–109. 52 indexed citations
14.
Roch, Fernando, Florenci Serras, Montserrat Corominas, et al.. (1998). Screening of larval/pupal P-element induced lethals on the second chromosome in Drosophila melanogaster: clonal analysis and morphology of imaginal discs. Molecular and General Genetics MGG. 257(2). 103–112. 37 indexed citations
15.
Guerra, Daniela, et al.. (1997). Developmental constraints in the Drosophila wing. Heredity. 79(6). 564–571. 37 indexed citations
16.
Guerra, Daniela, et al.. (1997). Developmental constraints in the Drosophila wing. Heredity. 79(6). 564–571. 4 indexed citations
17.
Guerra, Daniela, et al.. (1997). Developmental constraints and wing shape variation in natural populations of Drosophila melanogaster. Heredity. 79(6). 572–577. 51 indexed citations
18.
19.
Cavicchi, Sandro, et al.. (1989). Developmental effects of modifiers of the vg mutant in Drosophila melanogaster. Developmental Genetics. 10(5). 386–392. 4 indexed citations
20.
Pieragostini, E., Simonetta Sangiorgi, & Sandro Cavicchi. (1979). Adh system and genetic background: Interaction with wing length in Drosophila melanogaster. Genetica. 50(3). 201–206. 12 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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