Francesca Scarnicci

713 total citations
16 papers, 372 citations indexed

About

Francesca Scarnicci is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Francesca Scarnicci has authored 16 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 7 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Francesca Scarnicci's work include Forensic and Genetic Research (11 papers), Molecular Biology Techniques and Applications (4 papers) and Genetic diversity and population structure (4 papers). Francesca Scarnicci is often cited by papers focused on Forensic and Genetic Research (11 papers), Molecular Biology Techniques and Applications (4 papers) and Genetic diversity and population structure (4 papers). Francesca Scarnicci collaborates with scholars based in Italy, United Kingdom and Spain. Francesca Scarnicci's co-authors include Cristian Capelli, Vincenzo L. Pascali, Andrés Ruiz‐Linares, Leif Groop, Angelica A. Saetta, David B. Goldstein, James Nemesh, Penelope Korkolopoulou, Alkes L. Price and David Reich and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and PLoS Genetics.

In The Last Decade

Francesca Scarnicci

15 papers receiving 359 citations

Peers

Francesca Scarnicci
Comparison fields: 5 of 80
  • Genetics 262
  • Molecular Biology 101
  • Archeology 31
  • Cardiology and Cardiovascular Medicine 24
  • Immunology 19
Replace Małgorzata Skawrońska with:
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Witold Pepiński Poland
Francesca Crobu Italy
Jane Romm United States
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Małgorzata Skawrońska Poland View profile →
Citations per field, relative to Francesca Scarnicci
Francesca Scarnicci · 1×
Citations per year, relative to Francesca Scarnicci
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Countries citing papers authored by Francesca Scarnicci

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Scarnicci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Scarnicci

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Scarnicci. A scholar is included among the top collaborators of Francesca Scarnicci 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 Francesca Scarnicci. Francesca Scarnicci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 3
2 1
3 15
4 1
5 3
6 8
7 13
8 29
9 223
10 2
11 1
12 7
13 43
14 8
15 14
16 1

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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