Fabrizio Angaroni

475 citations
22 papers · 200 indexed · h-index 8
Topics
Cancer Genomics and Diagnostics (7 papers)Evolution and Genetic Dynamics (6 papers)Single-cell and spatial transcriptomics (4 papers)

In The Last Decade

Fabrizio Angaroni

19 papers receiving 199 citations

Peers

Fabrizio Angaroni
Comparison fields: 5 of 44
  • Molecular Biology 112
  • Infectious Diseases 76
  • Cancer Research 37
  • Genetics 27
  • Modeling and Simulation 24
Replace Davide Maspero with:
Davide Maspero Italy
Camilla Pang United Kingdom
Azra Lari United States
Anat Zimmer Israel
Marianna Agudelo United States
Anusha Nathan United States
John-Paul Denson United States
Hesam Montazeri Iran
Mihály Koltai United Kingdom
Timur Mackens‐Kiani Germany
Fabrizio Angaroni relative to Davide Maspero Italy Davide Maspero's profile →
Citations per field
00.5×1.5×
Davide Maspero · 1×
Citations per year

Countries citing papers authored by Fabrizio Angaroni

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Angaroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Angaroni

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Angaroni. A scholar is included among the top collaborators of Fabrizio Angaroni 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 Fabrizio Angaroni. Fabrizio Angaroni 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 2
3 0
4 17
5 8
6 3
7 2
8 1
9 2
10 21
11 51
12 2
13 12
14 1
15 16
16 35
17 6
18 6
19 8
20 2

About Fabrizio Angaroni

Fabrizio Angaroni is a scholar working on Cancer Research, Modeling and Simulation and Hematology, having authored 22 papers that have together received 200 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Evolution and Genetic Dynamics (6 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Modeling and Simulation (24 citations), Infectious Diseases (76 citations) and Cancer Research (37 citations). Fabrizio Angaroni has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alex Graudenzi, Davide Maspero, Daniele Ramazzotti, Rocco Piazza, Marco Antoniotti, Giuliano Benenti, G. Strini, Simone Montangero, Tommaso Calarco and Carlo Gambacorti‐Passerini. Their work appears in journals such as Nature Communications, BMC Bioinformatics and Neurocomputing.

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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