Damiano Piovesan

14.7k citations
61 papers · 5.3k indexed · 1 hit paper · h-index 24
Topics
Protein Structure and Dynamics (31 papers)Bioinformatics and Genomic Networks (19 papers)Machine Learning in Bioinformatics (18 papers)

In The Last Decade

Damiano Piovesan

59 papers receiving 5.2k citations

Hit Papers

The Pfam protein families database in 20192018202620202023201810002.0k3.0k

Peers

Damiano Piovesan
Comparison fields: 5 of 141
  • Molecular Biology 4.0k
  • Plant Science 1.2k
  • Ecology 572
  • Materials Chemistry 522
  • Genetics 490
Replace Sara Chuguransky with:
Sara Chuguransky Argentina
Haim Ashkenazy Israel
Aurélien Luciani United Kingdom
Shriya Raj United States
Fábio Madeira United Kingdom
Nandana Madhusoodanan United Kingdom
Nicola Buso United Kingdom
Layla Hirsh Peru
Sara El-Gebali Switzerland
Tamer Gür United Kingdom
Damiano Piovesan relative to Sara Chuguransky Argentina Sara Chuguransky's profile →
Citations per field
00.5×20×40×60×77.3×
Sara Chuguransky · 1×
Citations per year

Countries citing papers authored by Damiano Piovesan

Since Specialization
Citations

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

Fields of papers citing papers by Damiano Piovesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damiano Piovesan

This figure shows the co-authorship network connecting the top 25 collaborators of Damiano Piovesan. A scholar is included among the top collaborators of Damiano Piovesan 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 Damiano Piovesan. Damiano Piovesan 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 13
4 2
5 1
6 1
7 6
8 13
9 42
10 10
11 4
12 10
13 4
14
The Pfam protein families database in 2019breakdown →
3202
15 142
16 319
17 27
18 4
19 55
20 31

About Damiano Piovesan

Damiano Piovesan is a scholar working on Molecular Biology, Health Informatics and Spectroscopy, having authored 61 papers that have together received 5.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (31 papers), Bioinformatics and Genomic Networks (19 papers) and Machine Learning in Bioinformatics (18 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Plant Science (1.2k citations) and Endocrinology (147 citations). Damiano Piovesan has collaborated with scholars based in Italy, Hungary and United Kingdom. Frequent co-authors include Silvio C. E. Tosatto, Lisanna Paladin, Layla Hirsh, Alex Bateman, Aurélien Luciani, Matloob Qureshi, Jaina Mistry, Sara El-Gebali, Sean R. Eddy and Erik L. L. Sonnhammer. Their work appears in journals such as Nucleic Acids Research, Bioinformatics 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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