Monica Pascucci

424 citations
10 papers · 325 indexed · h-index 9
Topics
Skin and Cellular Biology Research (6 papers)Dermatological and Skeletal Disorders (3 papers)Wnt/β-catenin signaling in development and cancer (3 papers)
Partner nations
ItalyUnited StatesSweden

In The Last Decade

Monica Pascucci

10 papers receiving 322 citations

Peers

Monica Pascucci
Comparison fields: 5 of 45
  • Molecular Biology 171
  • Immunology 111
  • Cell Biology 108
  • Genetics 42
  • Immunology and Allergy 40
Replace Antti M. Salo with:
Antti M. Salo Finland
Chandrani Mondal United States
J.M.H. Raats Netherlands
S. O. Yim United States
Hongsheng Tian United States
Mélissa Mathieu Canada
Shoichi Tani Japan
Naomi De Luca Italy
le-Ming Shih United States
Debra Robertson United States
Monica Pascucci relative to Antti M. Salo Finland Antti M. Salo's profile →
Citations per field
00.5×3.6×
Antti M. Salo · 1×
Citations per year

Countries citing papers authored by Monica Pascucci

Since Specialization
Citations

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

Fields of papers citing papers by Monica Pascucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Pascucci

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 12
2 8
3 24
4
Epidermolysis bullosa simplex with mottled pigmentation due to de novo P25L mutation in keratin 5 in an Italian patient.
4
5 47
6 32
7 19
8 103
9 14
10 62

About Monica Pascucci

Monica Pascucci is a scholar working on Cell Biology, Immunology and Allergy and Pathology and Forensic Medicine, having authored 10 papers that have together received 325 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (6 papers), Dermatological and Skeletal Disorders (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cell Biology (108 citations), Immunology and Allergy (40 citations) and Immunology (111 citations). Monica Pascucci has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Luigi Frati, Alberto Gulino, Isabella Screpanti, Antonio Francesco Campese, Saula Checquolo, Diana Bellavia, Claudio Talora, Daniele Castiglia, Giovanna Zambruno and Harald von Boehmer. Their work appears in journals such as Blood, The Journal of Immunology and Biochemical and Biophysical Research Communications.

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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