Giuseppe Pasculli

591 total citations
24 papers, 365 citations indexed

About

Giuseppe Pasculli is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Giuseppe Pasculli has authored 24 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Giuseppe Pasculli's work include Vascular Anomalies and Treatments (4 papers), Tracheal and airway disorders (3 papers) and Machine Learning in Materials Science (2 papers). Giuseppe Pasculli is often cited by papers focused on Vascular Anomalies and Treatments (4 papers), Tracheal and airway disorders (3 papers) and Machine Learning in Materials Science (2 papers). Giuseppe Pasculli collaborates with scholars based in Italy, Germany and United Kingdom. Giuseppe Pasculli's co-authors include Carlo Sabbà, Jürgen Bajorath, Patrizia Suppressa, Alessandro Stella, Gennaro Mariano Lenato, Franca Dicuonzo, Maurizio Memeo, Mauro Gallitelli, A. Carella and Endrit Shahini and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Giuseppe Pasculli

22 papers receiving 359 citations

Peers

Giuseppe Pasculli
Comparison fields: 5 of 71
  • Genetics 162
  • Pulmonary and Respiratory Medicine 137
  • Molecular Biology 79
  • Surgery 76
  • Marketing 43
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Bingjie Zheng China
Sven Stodtmann United States
Yuzheng Zhuge China
Sarah Sloot Netherlands
Eugene Vaios United States
Matthew Chan Canada
Mingwei Zhang China
Jonathan C. Pang United States
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Citations per field, relative to Giuseppe Pasculli
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Citations per year, relative to Giuseppe Pasculli
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Countries citing papers authored by Giuseppe Pasculli

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Pasculli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Pasculli

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Pasculli. A scholar is included among the top collaborators of Giuseppe 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 Giuseppe Pasculli. Giuseppe 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
# Work Indexed citations
1 3
2 3
3 30
4 0
5 5
6 3
7 9
8 8
9 6
10 0
11 29
12 6
13 15
14 5
15 113
16 12
17 1
18 33
19 9
20 18

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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2026