Patrizia Pasculli

802 citations
28 papers · 292 indexed · h-index 9
Topics
COVID-19 Clinical Research Studies (11 papers)SARS-CoV-2 and COVID-19 Research (9 papers)Multiple Sclerosis Research Studies (6 papers)
Partner nations
ItalyUnited StatesIsrael

In The Last Decade

Patrizia Pasculli

25 papers receiving 292 citations

Peers

Patrizia Pasculli
Comparison fields: 5 of 71
  • Infectious Diseases 138
  • Neurology 87
  • Oncology 62
  • Immunology 58
  • Molecular Biology 30
Replace José Alberto Choreño-Parra with:
José Alberto Choreño-Parra Mexico
Haiyi Gong China
Zihan Xia China
Annamaria Paolini Italy
Leuridan Cavalcante Torres Brazil
Ferhan Kerget Türkiye
Rocío Laguna‐Goya Spain
Yuting Yang China
Maximilian Kittel Germany
Mohamed Yaseen Alsabbagh Iran
Patrizia Pasculli relative to José Alberto Choreño-Parra Mexico José Alberto Choreño-Parra's profile →
Citations per field
00.5×1.5×
José Alberto Choreño-Parra · 1×
Citations per year

Countries citing papers authored by Patrizia Pasculli

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Pasculli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Pasculli

This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Pasculli. A scholar is included among the top collaborators of Patrizia Pasculli 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 Patrizia Pasculli. Patrizia Pasculli 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
#WorkIndexed citations
1 0
2 4
3 4
4 5
5 8
6 6
7 8
8 2
9 3
10 5
11 17
12 4
13 7
14 10
15 3
16 6
17 62
18 20
19 32
20 20

About Patrizia Pasculli

Patrizia Pasculli is a scholar working on Infectious Diseases, Behavioral Neuroscience and Neurology, having authored 28 papers that have together received 292 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Multiple Sclerosis Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (138 citations), Neurology (87 citations) and Critical Care and Intensive Care Medicine (20 citations). Patrizia Pasculli has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Maria Rosa Ciardi, Claudio Maria Mastroianni, Maria Antonella Zingaropoli, Valentina Perri, Miriam Lichtner, Parni Nijhawan, Marco Iannetta, Anna Carraro, Raffaella Marocco and Antonella Conte. Their work appears in journals such as PLoS ONE, Pain and The American Journal of Medicine.

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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