Giancarlo Pasquali

3.4k total citations
57 papers, 1.7k citations indexed

About

Giancarlo Pasquali is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Giancarlo Pasquali has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 35 papers in Plant Science and 13 papers in Biotechnology. Recurrent topics in Giancarlo Pasquali's work include Plant tissue culture and regeneration (22 papers), Transgenic Plants and Applications (9 papers) and Plant Molecular Biology Research (8 papers). Giancarlo Pasquali is often cited by papers focused on Plant tissue culture and regeneration (22 papers), Transgenic Plants and Applications (9 papers) and Plant Molecular Biology Research (8 papers). Giancarlo Pasquali collaborates with scholars based in Brazil, Netherlands and United States. Giancarlo Pasquali's co-authors include Johan Memelink, Arthur Germano Fett‐Neto, Márcia Margis‐Pinheiro, J. Harry C. Hoge, Luís Fernando Revers, Robert Verpoorte, Diogo Denardi Porto, Maria Helena Bodanese‐Zanettini, Débora Vom Endt and Anthony de Waal and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Experimental Botany and Gene.

In The Last Decade

Giancarlo Pasquali

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giancarlo Pasquali Brazil 23 1.3k 1.1k 276 132 115 57 1.7k
Turgay Ünver Türkiye 31 1.8k 1.4× 2.6k 2.4× 83 0.3× 85 0.6× 102 0.9× 58 3.2k
Tomonori Shiraishi Japan 33 1.3k 1.0× 3.0k 2.9× 110 0.4× 147 1.1× 103 0.9× 166 3.7k
John D. Hamill Australia 30 1.8k 1.4× 1.7k 1.6× 666 2.4× 114 0.9× 61 0.5× 69 2.4k
Jong Tae Song South Korea 28 1.8k 1.4× 2.9k 2.7× 103 0.4× 406 3.1× 80 0.7× 123 3.6k
Hans‐Wilhelm Nützmann United Kingdom 17 1.4k 1.1× 1.1k 1.0× 212 0.8× 67 0.5× 810 7.0× 25 2.3k
Marcus Persicke Germany 20 821 0.6× 386 0.4× 86 0.3× 113 0.9× 113 1.0× 47 1.3k
Chongxi Liu China 21 1.2k 1.0× 771 0.7× 223 0.8× 145 1.1× 782 6.8× 138 1.9k
Claudete Santa‐Catarina Brazil 31 1.8k 1.4× 2.2k 2.0× 117 0.4× 38 0.3× 53 0.5× 114 2.7k
G. Surico Italy 28 857 0.7× 2.4k 2.3× 57 0.2× 99 0.8× 133 1.2× 121 3.0k

Countries citing papers authored by Giancarlo Pasquali

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Pasquali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Pasquali

This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Pasquali. A scholar is included among the top collaborators of Giancarlo Pasquali 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 Giancarlo Pasquali. Giancarlo Pasquali 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
3.
Malabarba, Jaiana, Jorge Ernesto de Araújo Mariath, Felipe dos Santos Maraschin, et al.. (2018). Manipulation of VviAGL11 expression changes the seed content in grapevine (Vitis vinifera L.). Plant Science. 269. 126–135. 14 indexed citations
4.
Lucas, Aline Machado, Giancarlo Pasquali, Leandro Vieira Astarita, & Eduardo Cassel. (2016). Comparison of genetically engineered (GE) and non-GE Eucalyptus trees using secondary metabolites obtained by steam distillation. Journal of Essential Oil Research. 29(1). 22–31. 5 indexed citations
5.
Ligabue‐Braun, Rodrigo, Marina S. Defferrari, Angela Regina Piovesan, et al.. (2013). Structure–function studies on jaburetox, a recombinant insecticidal peptide derived from jack bean (Canavalia ensiformis) urease. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(3). 935–944. 39 indexed citations
6.
Häggman, Hely, Alan Raybould, Aluízio Borém, et al.. (2013). Genetically engineered trees for plantation forests: key considerations for environmental risk assessment. Plant Biotechnology Journal. 11(7). 785–798. 50 indexed citations
7.
Furian, Thales Quedi, et al.. (2012). A Sensitive Nested-Polymerase Chain Reaction Protocol to Detect Infectious Laryngotracheitis Virus. ACTA SCIENTIAE VETERINARIAE. 40(3). 1–7. 1 indexed citations
8.
Ligabue‐Braun, Rodrigo, Diogo Ribeiro Demartini, Suzanna F. F. Ribeiro, et al.. (2012). Antifungal properties of Canavalia ensiformis urease and derived peptides. Peptides. 38(1). 22–32. 38 indexed citations
9.
Wiebke-Strohm, Beatriz, Giancarlo Pasquali, Márcia Margis‐Pinheiro, et al.. (2012). Ubiquitous urease affects soybean susceptibility to fungi. Plant Molecular Biology. 79(1-2). 75–87. 20 indexed citations
10.
Camargo, Sandro da Silva, et al.. (2011). Reference Genes for the Normalization of Gene Expression in Eucalyptus Species. Plant and Cell Physiology. 53(2). 405–422. 69 indexed citations
11.
Astarita, Leandro Vieira, et al.. (2011). Eucalyptus transgenic plants: from genetic transformation protocols to biosafety analysis. BMC Proceedings. 5(S7). 2 indexed citations
13.
Mitidieri, Sydnei, Lucélia Santi, Marilene Henning Vainstein, et al.. (2007). Antifungal activity of plant and bacterial ureases. Toxicon. 50(7). 971–983. 69 indexed citations
14.
Pasquali, Giancarlo, Diogo Denardi Porto, & Arthur Germano Fett‐Neto. (2006). Metabolic engineering of cell cultures versus whole plant complexity in production of bioactive monoterpene indole alkaloids: Recent progress related to old dilemma. Journal of Bioscience and Bioengineering. 101(4). 287–296. 70 indexed citations
15.
Ferreira, Fabrício, et al.. (2006). Influence of antibiotics on embryogenic tissue and Agrobacterium tumefaciens suppression in soybean genetic transformation. Bragantia. 65(4). 543–551. 18 indexed citations
16.
Biricolti, Stefano & Giancarlo Pasquali. (2004). In vitro culture of ovules with nucelli and embryos of Citrus. Advances in Horticultural Science. 1000–1004. 2 indexed citations
17.
Fett‐Neto, Arthur Germano, et al.. (2001). Distinct effects of auxin and light on adventitious root development in Eucalyptus saligna and Eucalyptus globulus. Tree Physiology. 21(7). 457–464. 112 indexed citations
18.
Canel, Camilo, Inês Lopes Cardoso, Leslie van der Fits, et al.. (1998). Effects of over-expression of strictosidine synthase and tryptophan decarboxylase on alkaloid production by cell cultures of Catharanthus roseus. Planta. 205(3). 414–419. 141 indexed citations
19.
Hallard, Didier, Robert van der Heijden, Robert Verpoorte, et al.. (1997). Suspension cultured transgenic cells of Nicotiana tabacum expressing tryptophan decarboxylase and strictosidine synthase cDNAs from Catharanthus roseus produce strictosidine upon secologanin feeding. Plant Cell Reports. 17(1). 50–54. 28 indexed citations
20.
Pasquali, Giancarlo, Oscar J. M. Goddijn, Anthony de Waal, et al.. (1992). Coordinated regulation of two indole alkaloid biosynthetic genes from Catharanthus roseus by auxin and elicitors. Plant Molecular Biology. 18(6). 1121–1131. 165 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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