Antonella Useli

516 total citations
11 papers, 244 citations indexed

About

Antonella Useli is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Antonella Useli has authored 11 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Sociology and Political Science. Recurrent topics in Antonella Useli's work include Forensic and Genetic Research (7 papers), Genetic diversity and population structure (5 papers) and Race, Genetics, and Society (3 papers). Antonella Useli is often cited by papers focused on Forensic and Genetic Research (7 papers), Genetic diversity and population structure (5 papers) and Race, Genetics, and Society (3 papers). Antonella Useli collaborates with scholars based in Italy, France and United Kingdom. Antonella Useli's co-authors include Davide Pettener, Alessio Boattini, Donata Luiselli, Paolo Francalacci, Stefania Sarno, Laura Morelli, Marco Sazzini, Lluís Quintana‐Murci, David Comas and Sergio Tofanelli and has published in prestigious journals such as PLoS ONE, American Journal of Physical Anthropology and Current Anthropology.

In The Last Decade

Antonella Useli

11 papers receiving 236 citations

Peers

Antonella Useli

GENET

ARCHE

MB

SPS

ANTHR

Zhaxylyk Sabitov Kazakhstan

Gianfranco Biondi Italy

Qunfang Shu United Kingdom

Luca Taglioli Italy

Martin Hájek Czechia

Sameer Soi United States

David F. Soria‐Hernanz United States

Francesca Brisighelli Italy

Leonardo Arias Germany

Pu Li China

Zhaxylyk Sabitov Kazakhstan

Antonella Useli

119 ×0.7

GENET

27 ×0.5

ARCHE

29 ×1.0

MB

38 ×1.4

SPS

7 ×0.4

ANTHR

Citations per year, relative to Antonella Useli Antonella Useli (= 1×) peers Zhaxylyk Sabitov

Countries citing papers authored by Antonella Useli

Since Specialization

Citations

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

Fields of papers citing papers by Antonella Useli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonella Useli

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

All Works

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11 of 11 papers shown

1.

Lima, Manuela, Amanda Ramos, Cristina Santos, et al.. (2017). Genomics in Biological Anthropology: New Challenges, New Opportunities. 1 indexed citations

2.

Francalacci, Paolo, Daria Sanna, Antonella Useli, et al.. (2015). Detection of phylogenetically informative polymorphisms in the entire euchromatic portion of human Y chromosome from a Sardinian sample. BMC Research Notes. 8(1). 174–174. 11 indexed citations

3.

Morelli, Laura, Antonella Useli, Daria Sanna, et al.. (2014). Mitochondrial DNA lineages of Italian Giara and Sarcidano horses. Genetics and Molecular Research. 13(4). 8241–8257. 15 indexed citations

4.

Boattini, Alessio, Begoña Martínez‐Cruz, Stefania Sarno, et al.. (2013). Uniparental Markers in Italy Reveal a Sex-Biased Genetic Structure and Different Historical Strata. PLoS ONE. 8(5). e65441–e65441. 67 indexed citations

5.

Boattini, Alessio, Loredana Castrì, Stefania Sarno, et al.. (2013). mtDNA variation in East Africa unravels the history of afro‐asiatic groups. American Journal of Physical Anthropology. 150(3). 375–385. 18 indexed citations

6.

Darlu, Pierre, Gerrit Bloothooft, Alessio Boattini, et al.. (2012). The Family Name as Socio-Cultural Feature and Genetic Metaphor: From Concepts to Methods. Human Biology. 84(2). 169–214. 7 indexed citations

7.

Darlu, Pierre, Gerrit Bloothooft, Alessio Boattini, et al.. (2012). The Family Name as Socio-Cultural Feature and Genetic Metaphor: From Concepts to Methods. Human Biology. 84(2). 169–214. 27 indexed citations

8.

Boattini, Alessio, Donata Luiselli, Marco Sazzini, et al.. (2010). Linking Italy and the Balkans. A Y-chromosome perspective from the Arbereshe of Calabria. Annals of Human Biology. 38(1). 59–68. 17 indexed citations

9.

Castrì, Loredana, Paolo Garagnani, Antonella Useli, Davide Pettener, & Donata Luiselli. (2008). Kenyan crossroads: migration and gene flow in six ethnic groups from Eastern Africa.. PubMed. 86. 189–92. 7 indexed citations

10.

Coelho, Margarida C., Donata Luiselli, Antonella Useli, et al.. (2008). Human Microevolution and the Atlantic Slave Trade. Current Anthropology. 49(1). 134–143. 9 indexed citations

11.

Francalacci, Paolo, Laura Morelli, P. A. Underhill, et al.. (2003). Peopling of three Mediterranean Islands (Corsica, Sardinia, and Sicily) inferred by Y‐chromosome biallelic variability. American Journal of Physical Anthropology. 121(3). 270–279. 65 indexed citations

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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