Giuseppe D’Onofrio

1.6k citations
51 papers · 1.3k indexed · h-index 20
Topics
RNA and protein synthesis mechanisms (19 papers)Genomics and Phylogenetic Studies (14 papers)Machine Learning in Bioinformatics (12 papers)
Partner nations
ItalyFranceUruguay

In The Last Decade

Giuseppe D’Onofrio

48 papers receiving 1.3k citations

Peers

Giuseppe D’Onofrio
Comparison fields: 5 of 104
  • Molecular Biology 1.1k
  • Genetics 201
  • Plant Science 180
  • Ecology 143
  • Oceanography 71
Replace James E. Tarver with:
James E. Tarver United Kingdom
Eric J. Deeds United States
Sergio A. Muñoz-Gómez United States
Marta Ibañes Spain
K. Hara Netherlands
Farhad Imam United States
Alex T. Kalinka Germany
Thomas Schlitt United Kingdom
Patrick Harrigan United States
Martin Schuster United Kingdom
Giuseppe D’Onofrio relative to James E. Tarver United Kingdom James E. Tarver's profile →
Citations per field
00.5×1.5×
James E. Tarver · 1×
Citations per year

Countries citing papers authored by Giuseppe D’Onofrio

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe D’Onofrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe D’Onofrio

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe D’Onofrio. A scholar is included among the top collaborators of Giuseppe D’Onofrio 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 D’Onofrio. Giuseppe D’Onofrio 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 6
2 0
3 3
4 14
5 8
6 12
7 11
8 22
9 32
10 52
11 28
12 23
13 74
14 20
15 24
16 35
17 56
18 211
19 62
20 150

About Giuseppe D’Onofrio

Giuseppe D’Onofrio is a scholar working on Statistical and Nonlinear Physics, Developmental Neuroscience and Cognitive Neuroscience, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (19 papers), Genomics and Phylogenetic Studies (14 papers) and Machine Learning in Bioinformatics (12 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (201 citations) and Oceanography (71 citations). Giuseppe D’Onofrio has collaborated with scholars based in Italy, France and Uruguay. Frequent co-authors include Giorgio Bernardi, Brahim Aı̈ssani, Christian Gautier, Dominique Mouchiroud, Gabriel Macaya, Héctor Musto, Fernando Álvarez-Valín, Tapash Chandra Ghosh, Stéphane Cruveiller and Enrica Pirozzi. Their work appears in journals such as PLoS ONE, FEBS Letters and Annals of the New York Academy of Sciences.

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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