Marcello Barbieri

3.0k citations
69 papers · 1.7k · h-index 23

Impact in

Papers in

    • RNA and protein synthesis mechanisms 24
    • Fractal and DNA sequence analysis 11
    • Genomics and Phylogenetic Studies 8
    • Genomics and Chromatin Dynamics 5
    • Gene Regulatory Network Analysis 5
    • RNA modifications and cancer 5
    • Origins and Evolution of Life 25

Marcello Barbieri

68 papers receiving 1.6k citations

Peers

Marcello Barbieri
Comparison fields: 5 of 140
  • Astronomy and Astrophysics 605
  • History and Philosophy of Science 162
  • Cultural Studies 161
  • Molecular Biology 924
  • Developmental Biology 27
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Citations per field
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Citations per year

Countries citing papers authored by Marcello Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcello Barbieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcello Barbieri Line = papers co-authored together Marcello Barbieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Organic Codes: An Introduction to Semantic Biology
2009126
2 2008122
3 2007111
4 2002110
5 200288
6 201774
7 201266
8 201957
9 200956
10 201556
11 200051
12 200846
13 201940
14 200738
15 201236
16
The organic codes. The basic mechanism of macroevolution.
199833
17 198133
18 200830
19 201430
20 200127

About Marcello Barbieri

Marcello Barbieri is a scholar working on Molecular Biology, Astronomy and Astrophysics, Genetics, Cultural Studies and History and Philosophy of Science, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Origins and Evolution of Life (25 papers), RNA and protein synthesis mechanisms (24 papers), Fractal and DNA sequence analysis (11 papers), Genomics and Phylogenetic Studies (8 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Chromatin Dynamics (5 papers), Gene Regulatory Network Analysis (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Astronomy and Astrophysics (605 citations), History and Philosophy of Science (162 citations), Cultural Studies (161 citations), Molecular Biology (924 citations) and Developmental Biology (27 citations). Marcello Barbieri has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Marc Fellous, Chris Ottolenghi, Ken McElreavey, Jesper Hoffmeyer, Claire Remacle, Patrice Hamel, Pierre Cardol, Reiner A. Veitia, Francesca Bersani and N.M. Maraldi. Their work appears in journals such as Biosemiotics, Biological Theory, Biosystems, Journal of Theoretical Biology and Experimental Cell Research.

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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