Fabiana Caporuscio

990 citations
24 papers · 791 indexed · h-index 18
Topics
Computational Drug Discovery Methods (12 papers)Cancer therapeutics and mechanisms (5 papers)Mass Spectrometry Techniques and Applications (4 papers)

In The Last Decade

Fabiana Caporuscio

24 papers receiving 781 citations

Peers

Fabiana Caporuscio
Comparison fields: 5 of 87
  • Molecular Biology 344
  • Organic Chemistry 276
  • Computational Theory and Mathematics 267
  • Infectious Diseases 96
  • Oncology 83
Replace Jitender Verma with:
Jitender Verma India
John Marelius Sweden
Maria Kontoyianni United States
Siegfried S. F. Leung United States
Tom Oldfield United Kingdom
Jutta Wanner United States
Marta A. S. Perez Switzerland
C. Lerner Switzerland
Francesca Perruccio United Kingdom
Fabiana Caporuscio relative to Jitender Verma India Jitender Verma's profile →
Citations per field
00.5×1.5×
Jitender Verma · 1×
Citations per year

Countries citing papers authored by Fabiana Caporuscio

Since Specialization
Citations

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

Fields of papers citing papers by Fabiana Caporuscio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabiana Caporuscio

This figure shows the co-authorship network connecting the top 25 collaborators of Fabiana Caporuscio. A scholar is included among the top collaborators of Fabiana Caporuscio 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 Fabiana Caporuscio. Fabiana Caporuscio 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 21
2 41
3 24
4 20
5 21
6 15
7 31
8 5
9 43
10 74
11 51
12 4
13 90
14 53
15 19
16 29
17 10
18 26
19 18
20 103

About Fabiana Caporuscio

Fabiana Caporuscio is a scholar working on Computational Theory and Mathematics, Virology and Spectroscopy, having authored 24 papers that have together received 791 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Cancer therapeutics and mechanisms (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (267 citations), Organic Chemistry (276 citations) and Toxicology (26 citations). Fabiana Caporuscio has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Giulio Rastelli, Andrea Tafi, Alberto Del Río, Giuseppe Felice Mangiatordi, Carol Imbriano, Andrew Anighoro, Miriam Sgobba, Luca Pinzi, Maurizio Recanatini and Federico Falchi. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and Journal of Medicinal Chemistry.

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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