Nilla Pelucchi

666 total citations
8 papers, 513 citations indexed

About

Nilla Pelucchi is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Nilla Pelucchi has authored 8 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Nilla Pelucchi's work include Plant Molecular Biology Research (4 papers), Plant tissue culture and regeneration (4 papers) and Transgenic Plants and Applications (3 papers). Nilla Pelucchi is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant tissue culture and regeneration (4 papers) and Transgenic Plants and Applications (3 papers). Nilla Pelucchi collaborates with scholars based in Italy, France and Germany. Nilla Pelucchi's co-authors include Lucia Colombo, Martin M. Kater, Fabio Fornara, Simona Masiero, Giuseppina Falasca, Maria Maddalena Altamura, Zenaida P. Lopez-Dee, Lucie Pařenicová, Stefano Ciannamea and Veronica Gregis and has published in prestigious journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and Journal of Experimental Botany.

In The Last Decade

Nilla Pelucchi

8 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nilla Pelucchi Italy	8	459	414	65	55	39	8	513
Zhenwei Zheng United States	7	359 0.8×	270 0.7×	66 1.0×	101 1.8×	31 0.8×	9	490
Akane Matsushita Japan	11	856 1.9×	492 1.2×	33 0.5×	44 0.8×	19 0.5×	12	938
Yа. I. Buryanov Russia	11	206 0.4×	371 0.9×	111 1.7×	48 0.9×	11 0.3×	49	466
Andrew M. Masel Australia	8	282 0.6×	176 0.4×	43 0.7×	15 0.3×	23 0.6×	10	340
Gireesha Mohannath India	8	351 0.8×	252 0.6×	19 0.3×	21 0.4×	16 0.4×	15	446
Clarice Harker United Kingdom	5	259 0.6×	139 0.3×	31 0.5×	28 0.5×	11 0.3×	6	336
Barnabás Jenes Hungary	10	349 0.8×	397 1.0×	237 3.6×	16 0.3×	14 0.4×	20	494
Vesna Djukanovic United States	8	306 0.7×	689 1.7×	63 1.0×	110 2.0×	7 0.2×	9	727
Kumar Paritosh India	12	284 0.6×	213 0.5×	14 0.2×	56 1.0×	22 0.6×	19	347
David G. Lynn United States	10	302 0.7×	172 0.4×	51 0.8×	52 0.9×	86 2.2×	13	403

Countries citing papers authored by Nilla Pelucchi

Since Specialization

Citations

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

Fields of papers citing papers by Nilla Pelucchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilla Pelucchi

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Fornara, Fabio, Veronica Gregis, Nilla Pelucchi, Lucia Colombo, & Martin M. Kater. (2008). The rice StMADS11-like genes OsMADS22 and OsMADS47 cause floral reversions in Arabidopsis without complementing the svp and agl24 mutants. Journal of Experimental Botany. 59(8). 2181–2190. 56 indexed citations

2.

Greco, Raffaella, Denise Guétard, Minerva Cervantes-Gonzalez, et al.. (2007). Production of recombinant HIV-1/HBV virus-like particles in Nicotiana tabacum and Arabidopsis thaliana plants for a bivalent plant-based vaccine. Vaccine. 25(49). 8228–8240. 41 indexed citations

3.

Fornara, Fabio, Lucie Pařenicová, Giuseppina Falasca, et al.. (2004). Functional Characterization ofOsMADS18, a Member of theAP1/SQUASubfamily of MADS Box Genes . PLANT PHYSIOLOGY. 135(4). 2207–2219. 153 indexed citations

4.

Masiero, Simona, Carol Imbriano, Rebecca Favaro, et al.. (2002). Ternary Complex Formation between MADS-box Transcription Factors and the Histone Fold Protein NF-YB. Journal of Biological Chemistry. 277(29). 26429–26435. 94 indexed citations

5.

Pelucchi, Nilla, et al.. (2002). Comparative analysis of rice MADS-box genes expressed during flower development. Sexual Plant Reproduction. 15(3). 113–122. 91 indexed citations

6.

Labra, Massimo, Savini Cristian, Marcella Bracale, et al.. (2001). Genomic changes in transgenic rice (Oryza sativa L.) plants produced by infecting calli with Agrobacterium tumefaciens. Plant Cell Reports. 20(4). 325–330. 53 indexed citations

7.

Sala, F., Ariel D. Arencibia, Stefano Castiglione, et al.. (2000). SOMACLONAL VARIATION IN TRANSGENIC PLANTS. Acta Horticulturae. 411–420. 18 indexed citations

8.

Gavazzi, G., Silvana Dolfini, Massimo Galbiati, et al.. (1993). Mutants affecting germination and early seedling development in maize. 38(4). 265–274. 7 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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