Andrea Pierleoni

3.2k citations
22 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Machine Learning in Bioinformatics (9 papers)RNA and protein synthesis mechanisms (7 papers)Genomics and Phylogenetic Studies (6 papers)

In The Last Decade

Andrea Pierleoni

19 papers receiving 1.4k citations

Hit Papers

Open Targets Platform: new developments and updates two y...2018202620202023201850100150200250

Peers

Andrea Pierleoni
Comparison fields: 5 of 110
  • Molecular Biology 977
  • Plant Science 262
  • Immunology 128
  • Epidemiology 123
  • Cell Biology 118
Replace Richard G. Côté with:
Richard G. Côté United Kingdom
Alexandre Gattiker Switzerland
Beatrice Cuche Switzerland
Philip Bucher Germany
Paolo Di Tommaso Spain
Séverine Duvaud Switzerland
Michele Magrane United Kingdom
Marián Novotný Czechia
Fabrizio Ferrè Italy
Kenta Nakai Japan
Andrea Pierleoni relative to Richard G. Côté United Kingdom Richard G. Côté's profile →
Citations per field
00.5×1.5×2.3×
Richard G. Côté · 1×
Citations per year

Countries citing papers authored by Andrea Pierleoni

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Pierleoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Pierleoni

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Pierleoni. A scholar is included among the top collaborators of Andrea Pierleoni 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 Andrea Pierleoni. Andrea Pierleoni 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 0
3 1
4 31
5 5
6 14
7
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284
8 9
9 0
10 95
11 8
12 26
13 30
14 1
15 47
16 50
17 487
18 14
19 56
20 264

About Andrea Pierleoni

Andrea Pierleoni is a scholar working on Management Science and Operations Research, Molecular Biology and Artificial Intelligence, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Microbiology (98 citations), Molecular Biology (977 citations) and Parasitology (54 citations). Andrea Pierleoni has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Rita Casadio, Pier Luigi Martelli, Piero Fariselli, David G. Hulcoop, Gautier Koscielny, Gareth Peat, Jeffrey C. Barrett, Chuang Kee Ong, Miguel Carmona and Miguel Pignatelli. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

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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