Vera Quecini

931 total citations
38 papers, 613 citations indexed

About

Vera Quecini is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Vera Quecini has authored 38 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 23 papers in Molecular Biology and 6 papers in Food Science. Recurrent topics in Vera Quecini's work include Plant tissue culture and regeneration (10 papers), Plant Physiology and Cultivation Studies (7 papers) and Plant Molecular Biology Research (7 papers). Vera Quecini is often cited by papers focused on Plant tissue culture and regeneration (10 papers), Plant Physiology and Cultivation Studies (7 papers) and Plant Molecular Biology Research (7 papers). Vera Quecini collaborates with scholars based in Brazil, France and Japan. Vera Quecini's co-authors include C. L. Girardi, Lázaro Eustáquio Pereira Peres, César Valmor Rombaldi, Paula Macedo Nóbile, Maria Imaculada Zucchi, François Laurens, Maria Lúcia Carneiro Vieira, José Baldin Pinheiro, Adriana Alves and Rogério Falleiros Carvalho and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Vera Quecini

38 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Quecini Brazil 14 508 295 70 37 32 38 613
Antoine Champagne Belgium 14 186 0.4× 213 0.7× 114 1.6× 38 1.0× 28 0.9× 17 445
Satya Swathi Nadakuduti United States 12 521 1.0× 486 1.6× 33 0.5× 21 0.6× 34 1.1× 24 694
C. Aswath India 12 509 1.0× 324 1.1× 67 1.0× 15 0.4× 39 1.2× 60 586
Xiuxia Ren China 15 400 0.8× 327 1.1× 47 0.7× 27 0.7× 10 0.3× 37 541
Muhammad Amjad Pakistan 13 460 0.9× 164 0.6× 75 1.1× 50 1.4× 15 0.5× 49 574
Seyed Ahmad Sadat Noori Iran 16 448 0.9× 319 1.1× 131 1.9× 30 0.8× 7 0.2× 34 602
Sushil Satish Chhapekar India 13 389 0.8× 209 0.7× 26 0.4× 39 1.1× 24 0.8× 27 490
K. H. Singh India 12 406 0.8× 313 1.1× 41 0.6× 32 0.9× 10 0.3× 40 544
Waheed Arshad United Kingdom 10 291 0.6× 234 0.8× 49 0.7× 10 0.3× 49 1.5× 21 479

Countries citing papers authored by Vera Quecini

Since Specialization
Citations

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

Fields of papers citing papers by Vera Quecini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Quecini

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Quecini. A scholar is included among the top collaborators of Vera Quecini 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 Vera Quecini. Vera Quecini 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.
Gómez, Héctor Alonzo Gómez, Igor Otávio Minatel, Alexandra Christine Helena Frankland Sawaya, et al.. (2023). Metabolite profiling reveals the influence of grapevine genetic distance on the chemical signature of juices. Journal of the Science of Food and Agriculture. 104(4). 2383–2397. 6 indexed citations
2.
Fajardo, T. V. M. & Vera Quecini. (2021). Comparative transcriptome analyses between cultivated and wild grapes reveal conservation of expressed genes but extensive rewiring of co-expression networks. Plant Molecular Biology. 106(1-2). 1–20. 4 indexed citations
3.
Marques, Márcia Ortiz Mayo, Maria Aparecida Ribeiro Vieira, Roselaine Facanali, et al.. (2018). Composition and antimicrobial activity of the essential oils from a wide range of species from the Atlantic Rainforest in Brazil. 16(1). 77. 1 indexed citations
4.
5.
Pegoraro, Camila, et al.. (2015). Identification of a Novel Reference Gene for Apple Transcriptional Profiling under Postharvest Conditions. PLoS ONE. 10(3). e0120599–e0120599. 32 indexed citations
6.
Pegoraro, Camila, Alice Tadiello, C. L. Girardi, et al.. (2015). Transcriptional regulatory networks controlling woolliness in peach in response to preharvest gibberellin application and cold storage. BMC Plant Biology. 15(1). 279–279. 18 indexed citations
7.
Finatto, Taciane, Camila Pegoraro, François Laurens, et al.. (2015). Ethylene-dependent regulation of an α-l-arabinofuranosidase is associated to firmness loss in ‘Gala’ apples under long term cold storage. Food Chemistry. 182. 111–119. 13 indexed citations
8.
Camargo, U. A., et al.. (2014). BRAZILIAN GRAPE BREEDING PROGRAM. Acta Horticulturae. 219–223. 2 indexed citations
9.
Quecini, Vera, et al.. (2013). A reverse genetics approach identifies novel mutants in light responses and anthocyanin metabolism in petunia. Physiology and Molecular Biology of Plants. 20(1). 1–13. 25 indexed citations
10.
11.
Nóbile, Paula Macedo, et al.. (2011). Identification of a novel α-L-arabinofuranosidase gene associated with mealiness in apple. Journal of Experimental Botany. 62(12). 4309–4321. 42 indexed citations
12.
Pino, Luís, Mariana da Silva Azevedo, Lucélia Borgo, et al.. (2010). The Rg1 allele as a valuable tool for genetic transformation of the tomato 'Micro-Tom' model system. Plant Methods. 6(1). 23–23. 76 indexed citations
13.
Nóbile, Paula Macedo, et al.. (2010). Transcriptional Profile of Genes Involved in the Biosynthesis of Phytate and Ferritin in Coffea. Journal of Agricultural and Food Chemistry. 58(6). 3479–3487. 2 indexed citations
14.
Quecini, Vera, Maria Imaculada Zucchi, José Baldin Pinheiro, & Natal Antônio Vello. (2008). In silico analysis of candidate genes involved in light sensing and signal transduction pathways in soybean. Plant Biotechnology Reports. 2(1). 59–73. 1 indexed citations
15.
Quecini, Vera, et al.. (2007). Tomato spotted wilt virus triggers specific and shared defense mechanisms in hypersensitive and susceptible Solanaceae hosts. Physiological and Molecular Plant Pathology. 70(4-6). 189–197. 6 indexed citations
16.
Quecini, Vera, Gisele Abigail Montan Torres, Vicente E. De Rosa, et al.. (2007). In silico analysis of phytohormone metabolism and communication pathways in citrus transcriptome. Genetics and Molecular Biology. 30(3 suppl). 713–733. 5 indexed citations
17.
Nóbile, Paula Macedo, Catalina Romero Lopes, Vera Quecini, et al.. (2007). Peanut genes identified during initial phase of Cercosporidium personatum infection. Plant Science. 174(1). 78–87. 18 indexed citations
18.
Quecini, Vera. (2007). Identification of photoperception and light signal transduction pathways in citrus. Genetics and Molecular Biology. 30(3 suppl). 780–793. 1 indexed citations
19.
Quecini, Vera, Adriana Alves, Cláudio Oliveira, et al.. (2006). Microparticle bombardment of Stylosanthes guianensis: transformation parameters and expression of a methionine-rich 2S albumin gene. Plant Cell Tissue and Organ Culture (PCTOC). 87(2). 167–179. 4 indexed citations
20.
Alves, Adriana, Vera Quecini, & Maria Lúcia Carneiro Vieira. (1999). PLANT TRANSFORMATION: ADVANCES AND PERSPECTIVES. Scientia Agricola. 56(1). 1–8. 23 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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