Eugenia Piccinni

407 total citations
9 papers, 301 citations indexed

About

Eugenia Piccinni is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Eugenia Piccinni has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Immunology and Allergy. Recurrent topics in Eugenia Piccinni's work include Skin and Cellular Biology Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Fungal and yeast genetics research (2 papers). Eugenia Piccinni is often cited by papers focused on Skin and Cellular Biology Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Fungal and yeast genetics research (2 papers). Eugenia Piccinni collaborates with scholars based in Italy, France and Germany. Eugenia Piccinni's co-authors include Daniele Castiglia, Giovanna Zambruno, Giovanni Di Zenzo, Cristina Has, Francesca Cianfarani, Barbara Bellei, Peter Itin, Dimitra Kiritsi, Andrea Conti and Marcela Del Río and has published in prestigious journals such as Human Molecular Genetics, Molecular Microbiology and British Journal of Dermatology.

In The Last Decade

Eugenia Piccinni

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugenia Piccinni Italy	8	169	156	75	64	56	9	301
Claudia Mäck Germany	6	184 1.1×	104 0.7×	88 1.2×	13 0.2×	70 1.3×	11	309
Michael Ablinger Austria	8	139 0.8×	129 0.8×	49 0.7×	9 0.1×	32 0.6×	17	266
Audrey Décha France	6	177 1.0×	124 0.8×	68 0.9×	9 0.1×	40 0.7×	6	293
Hongsheng Tian United States	4	54 0.3×	86 0.6×	33 0.4×	25 0.4×	23 0.4×	6	322
Janan Mohamad Israel	9	84 0.5×	79 0.5×	26 0.3×	23 0.4×	30 0.5×	25	236
Almut Jörgl Austria	7	187 1.1×	180 1.2×	20 0.3×	23 0.4×	36 0.6×	7	432
Aya Nagaoka Japan	6	298 1.8×	263 1.7×	8 0.1×	63 1.0×	37 0.7×	6	419
Jennifer S. Horner United States	6	85 0.5×	417 2.7×	29 0.4×	45 0.7×	17 0.3×	6	550
Reiko Kitamura Japan	10	135 0.8×	67 0.4×	55 0.7×	8 0.1×	17 0.3×	24	325
C-X Deng United States	9	215 1.3×	413 2.6×	40 0.5×	100 1.6×	9 0.2×	11	576

Countries citing papers authored by Eugenia Piccinni

Since Specialization

Citations

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

Fields of papers citing papers by Eugenia Piccinni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugenia Piccinni

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

All Works

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9 of 9 papers shown

Odorisio, Teresa, Michela Di Salvio, Angela Orecchia, et al.. (2014). Monozygotic twins discordant for recessive dystrophic epidermolysis bullosa phenotype highlight the role of TGF-β signalling in modifying disease severity. Human Molecular Genetics. 23(15). 3907–3922. 86 indexed citations

Zenzo, Giovanni Di, May El Hachem, Andrea Diociaiuti, et al.. (2014). A truncating mutation in the laminin-332α chain highlights the role of the LG45 proteolytic domain in regulating keratinocyte adhesion and migration. British Journal of Dermatology. 170(5). 1056–1064. 9 indexed citations

Piccinni, Eugenia, Giovanni Di Zenzo, Riccardo Maurelli, et al.. (2012). Induction of senescence pathways in Kindler syndrome primary keratinocytes. British Journal of Dermatology. 168(5). 1019–1026. 18 indexed citations

Levati, Lauretta, Elena Pagani, Sveva Romani, et al.. (2011). MicroRNA‐155 targets theSKIgene in human melanoma cell lines. Pigment Cell & Melanoma Research. 24(3). 538–550. 72 indexed citations

Has, Cristina, Daniele Castiglia, Marcela Del Río, et al.. (2011). Kindler syndrome: Extension of FERMT1 mutational spectrum and natural history. Human Mutation. 32(11). 1204–1212. 79 indexed citations

Piccinni, Eugenia, Anna Chełstowska, Jakub Hanus, et al.. (2011). Direct interaction of Gas41 and Myc encoded by amplified genes in nervous system tumours.. Acta Biochimica Polonica. 58(4). 529–34. 8 indexed citations

Vescovo, Valerio Del, Viviana Casagrande, Michele M. Bianchi, et al.. (2008). Role of Hog1 and Yaf9 in the transcriptional response ofSaccharomyces cerevisiaeto cesium chloride. Physiological Genomics. 33(1). 110–120. 11 indexed citations

Bianchi, Michele M., Giovanna Costanzo, Anna Chełstowska, et al.. (2004). The bromodomain‐containing protein Bdf1p acts as a phenotypic and transcriptional multicopy suppressor of YAF9 deletion in yeast. Molecular Microbiology. 53(3). 953–968. 12 indexed citations

Diament, Miriam, et al.. (1999). Mechanisms of Paraneoplastic Syndromes in Mice Bearing a Spontaneous Lung Adenocarcinoma. Tumor Biology. 20(6). 304–311. 6 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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