Angelo D. Favia

2.1k citations
29 papers · 1.7k indexed · h-index 17
Topics
Computational Drug Discovery Methods (10 papers)Inflammatory Bowel Disease (7 papers)Protein Structure and Dynamics (5 papers)

In The Last Decade

Angelo D. Favia

27 papers receiving 1.7k citations

Peers

Angelo D. Favia
Comparison fields: 5 of 115
  • Molecular Biology 925
  • Computational Theory and Mathematics 413
  • Organic Chemistry 400
  • Pharmacology 368
  • Genetics 218
Replace Tuomo Laitinen with:
Tuomo Laitinen Finland
Giulio Poli Italy
Sonia Lobo Planey United States
Adel Hamza United States
Xiang‐Yang Ye China
Angela De Simone Italy
Richard Morphy United Kingdom
Brian Springthorpe United Kingdom
Simone Bertini Italy
Benjamin J. Orlando United States
Angelo D. Favia relative to Tuomo Laitinen Finland Tuomo Laitinen's profile →
Citations per field
00.5×2.7×
Tuomo Laitinen · 1×
Citations per year

Countries citing papers authored by Angelo D. Favia

Since Specialization
Citations

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

Fields of papers citing papers by Angelo D. Favia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo D. Favia. 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 Angelo D. Favia. The network helps show where Angelo D. Favia may publish in the future.

Co-authorship network of co-authors of Angelo D. Favia

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo D. Favia. A scholar is included among the top collaborators of Angelo D. Favia 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 Angelo D. Favia. Angelo D. Favia 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 1
3 0
4 8
5 1
6 102
7 7
8 5
9 67
10 21
11 84
12 1
13 51
14 402
15 323
16 20
17 29
18 53
19 81
20 97

About Angelo D. Favia

Angelo D. Favia is a scholar working on Pharmacology, Computational Theory and Mathematics and Toxicology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Inflammatory Bowel Disease (7 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (413 citations), Pharmacology (368 citations) and Toxicology (67 citations). Angelo D. Favia has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Janet M. Thornton, Irene Nobeli, Andrea Cavalli, Angelo Carotti, Francesco Leonetti, Maurizio Recanatini, Giovanni Bottegoni, Edmund Maser, Orazio Nicolotti and Rolf W. Hartmann. Their work appears in journals such as Angewandte Chemie International Edition, Nature Biotechnology and PLoS ONE.

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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