Stefano Mona

2.9k citations
43 papers · 1.3k · h-index 22

Impact in

  • Genetics top 2%
    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic diversity and population structure 24
    • Evolution and Genetic Dynamics 7
    • Forensic and Genetic Research 5
    • Genetic and phenotypic traits in livestock 5
    • Wildlife Ecology and Conservation 8

Stefano Mona

38 papers receiving 1.3k citations

Peers

Stefano Mona
Comparison fields: 5 of 97
  • Genetics 888
  • Ecological Modeling 100
  • Nature and Landscape Conservation 239
  • Geography, Planning and Development 87
  • Ecology 335
Replace Stephan Schiffels with:
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Stefano Mona relative to Stephan Schiffels Germany Stephan Schiffels's profile →
Citations per field
00.5×3.3×
Stephan Schiffels · 1×
Citations per year

Countries citing papers authored by Stefano Mona

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Mona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefano Mona, 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 Stefano Mona Line = papers co-authored together Stefano Mona links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010339
2 2016104
3 201395
4 200883
5 200962
6 201552
7 201050
8 200949
9 200843
10 201739
11 201137
12 200936
13 201029
14 200727
15 201327
16 201724
17 201622
18 202022
19 201522
20 202022

About Stefano Mona

Stefano Mona is a scholar working on Genetics, Ecology, Nature and Landscape Conservation, Molecular Biology and Geography, Planning and Development, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (24 papers), Ichthyology and Marine Biology (9 papers), Wildlife Ecology and Conservation (8 papers), Fish Ecology and Management Studies (8 papers), Evolution and Genetic Dynamics (7 papers), Pacific and Southeast Asian Studies (6 papers), Forensic and Genetic Research (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Genetics (888 citations), Ecological Modeling (100 citations), Nature and Landscape Conservation (239 citations), Geography, Planning and Development (87 citations) and Ecology (335 citations). Stefano Mona has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Giorgio Bertorelle, Andrea Benazzo, Miguel Arenas, Nicolas Ray, Laurent Excoffier, Willy Rodríguez, Flora Jay, Simon Boitard, Frédéric Austerlitz and Sandra Brauer. Their work appears in journals such as Heredity, Molecular Ecology, Molecular Biology and Evolution, Journal of Biogeography and Molecular Phylogenetics and Evolution.

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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