Giovanni Bocci

1.4k citations
14 papers · 785 indexed · 1 hit paper · h-index 11
Topics
Computational Drug Discovery Methods (7 papers)Genomics and Rare Diseases (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)

In The Last Decade

Giovanni Bocci

14 papers receiving 773 citations

Hit Papers

How many rare diseases are there?2019202620212023201950100150200250

Peers

Giovanni Bocci
Comparison fields: 5 of 111
  • Molecular Biology 400
  • Computational Theory and Mathematics 225
  • Genetics 198
  • Infectious Diseases 65
  • Oncology 62
Replace Rebecca Kusko with:
Rebecca Kusko United States
Θεοδώρα Κάτσιλα Greece
Xichen Lian China
Naiem T. Issa United States
Jyotika Varshney United States
James Matcham United Kingdom
Alex. M. Weir United Kingdom
Irena Melnikova United States
Francesco Napolitano Italy
Jeffrey A. Kramer United States
Giovanni Bocci relative to Rebecca Kusko United States Rebecca Kusko's profile →
Citations per field
00.5×3.2×
Rebecca Kusko · 1×
Citations per year

Countries citing papers authored by Giovanni Bocci

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Bocci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Bocci

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Bocci. A scholar is included among the top collaborators of Giovanni Bocci 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 Giovanni Bocci. Giovanni Bocci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 38
2 15
3 4
4 48
5 14
6 90
7 25
8 40
9 126
10 4
11
How many rare diseases are there?breakdown →
279
12 9
13 67
14 26

About Giovanni Bocci

Giovanni Bocci is a scholar working on Computational Theory and Mathematics, Pharmacology and Infectious Diseases, having authored 14 papers that have together received 785 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Genomics and Rare Diseases (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (225 citations), Health Informatics (11 citations) and Genetics (198 citations). Giovanni Bocci has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Tudor I. Oprea, Cristian Bologa, Jeremy J. Yang, Jayme Holmes, Emanuele Carosati, Ðắc-Trung Nguyễn, Gabriele Cruciani, Peter N. Robinson, Tudor Groza and Sebastian Köhler. Their work appears in journals such as Nucleic Acids Research, Nature Reviews Drug Discovery and Scientific Reports.

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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