Patrizio Di Micco

1.0k citations
21 papers · 595 indexed · h-index 12
Topics
RNA and protein synthesis mechanisms (7 papers)Computational Drug Discovery Methods (6 papers)RNA modifications and cancer (5 papers)

In The Last Decade

Patrizio Di Micco

20 papers receiving 589 citations

Peers

Patrizio Di Micco
Comparison fields: 5 of 81
  • Molecular Biology 448
  • Biomaterials 60
  • Biotechnology 60
  • Oncology 59
  • Computational Theory and Mathematics 55
Replace Fabio Gasparri with:
Fabio Gasparri Italy
Anand Mayasundari United States
Charles H. Adelmann United States
Colin Hockings Australia
Chakravarthy Narasimhan United States
Satra Nim Canada
Ulli Rothweiler Norway
Alan Bilsland United Kingdom
Yayoi Wada Japan
Yueqing Xie China
Patrizio Di Micco relative to Fabio Gasparri Italy Fabio Gasparri's profile →
Citations per field
00.5×1.5×2.1×
Fabio Gasparri · 1×
Citations per year

Countries citing papers authored by Patrizio Di Micco

Since Specialization
Citations

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

Fields of papers citing papers by Patrizio Di Micco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrizio Di Micco. 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 Patrizio Di Micco. The network helps show where Patrizio Di Micco may publish in the future.

Co-authorship network of co-authors of Patrizio Di Micco

This figure shows the co-authorship network connecting the top 25 collaborators of Patrizio Di Micco. A scholar is included among the top collaborators of Patrizio Di Micco 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 Patrizio Di Micco. Patrizio Di Micco 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 2
3 7
4 19
5 16
6 64
7 9
8 54
9 4
10 1
11 9
12 19
13 18
14 6
15 37
16 37
17 85
18 63
19 55
20 8

About Patrizio Di Micco

Patrizio Di Micco is a scholar working on Aging, Computational Theory and Mathematics and Molecular Biology, having authored 21 papers that have together received 595 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Computational Drug Discovery Methods (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Biotechnology (60 citations), Molecular Biology (448 citations) and Clinical Biochemistry (32 citations). Patrizio Di Micco has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Veronica Morea, Bissan Al‐Lazikani, Costas Mitsopoulos, Albert A. Antolín, Paul Workman, Buğra Özer, Christos Kannas, Elizabeth A. Coker, Pierpaolo Ceci and Elisabetta Falvo. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Journal of Controlled Release.

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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