Stefania Vai

3.0k total citations
43 papers, 550 citations indexed

About

Stefania Vai is a scholar working on Genetics, Archeology and Paleontology. According to data from OpenAlex, Stefania Vai has authored 43 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 18 papers in Archeology and 12 papers in Paleontology. Recurrent topics in Stefania Vai's work include Forensic and Genetic Research (18 papers), Forensic Anthropology and Bioarchaeology Studies (14 papers) and Archaeology and ancient environmental studies (12 papers). Stefania Vai is often cited by papers focused on Forensic and Genetic Research (18 papers), Forensic Anthropology and Bioarchaeology Studies (14 papers) and Archaeology and ancient environmental studies (12 papers). Stefania Vai collaborates with scholars based in Italy, Germany and United States. Stefania Vai's co-authors include David Caramelli, Martina Lari, Alessandra Modi, Elena Pilli, Guido Barbujani, Andrea Berti, Lucio Milani, Annamaria Ronchitelli, Ermanno Rizzi and Gianluca De Bellis and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stefania Vai

40 papers receiving 539 citations

Peers

Stefania Vai
Comparison fields: 5 of 127
  • Genetics 236
  • Archeology 180
  • Molecular Biology 153
  • Paleontology 104
  • Anthropology 70
Replace Alessandra Modi with:
Alessandra Modi Italy
Ricardo Kanitz Switzerland
Christine Keyser France
Meaghan Mackie Denmark
Sonja Meyer Germany
Keri A. Brown United Kingdom
E. Hagelberg United Kingdom
Gunilla Holmlund Sweden
Noboru Adachi Japan
Amy Z. Mundorff United States
Alessandra Modi Italy View profile →
Citations per field, relative to Stefania Vai
Stefania Vai · 1×
Citations per year, relative to Stefania Vai
Stefania Vai · 1×

Countries citing papers authored by Stefania Vai

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Vai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Vai

This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Vai. A scholar is included among the top collaborators of Stefania Vai 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 Stefania Vai. Stefania Vai 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
# Work Indexed citations
1 2
2 2
3 6
4 5
5 6
6 130
7 23
8 10
9 8
10 8
11 30
12 5
13 11
14 12
15 19
16
Analisi Paleogenetica del Neanderthal di Altamura
1
17 27
18 76
19 6
20
Severe respiratory depression after autologous bone marrow infusion.
12

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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