Elisabetta Mamolini

48 total papers · 941 total citations
41 papers, 713 citations indexed

About

Elisabetta Mamolini is a scholar working on Genetics, Sociology and Political Science and Language and Linguistics. According to data from OpenAlex, Elisabetta Mamolini has authored 41 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 8 papers in Sociology and Political Science and 6 papers in Language and Linguistics. Recurrent topics in Elisabetta Mamolini's work include Names, Identity, and Discrimination Research (8 papers), Linguistics, Language Diversity, and Identity (6 papers) and Forensic and Genetic Research (6 papers). Elisabetta Mamolini is often cited by papers focused on Names, Identity, and Discrimination Research (8 papers), Linguistics, Language Diversity, and Identity (6 papers) and Forensic and Genetic Research (6 papers). Elisabetta Mamolini collaborates with scholars based in Italy, Venezuela and Argentina. Elisabetta Mamolini's co-authors include Chiara Scapoli, I. Barrai, Álvaro Rodríguez-Larralde, Leonardo Trombelli, Alberto Carrieri, M. Beretta, José Edgardo Dipierri, Emma Alfaro, Andrew Collins and Franz Manni and has published in prestigious journals such as Sensors, Journal of Dental Research and Journal of Theoretical Biology.

In The Last Decade

Elisabetta Mamolini

41 papers receiving 683 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elisabetta Mamolini	268	157	117	61	53	41	713
John W. White	111 0.4×	67 0.4×	24 0.2×	149 2.4×	28 0.5×	48	873
Álvaro Rodríguez-Larralde	360 1.3×	230 1.5×	2 0.0×	73 1.2×	83 1.6×	60	851
Serge Bahuchet	287 1.1×	119 0.8×	2 0.0×	50 0.8×	20 0.4×	49	792
Nicolas Brucato	423 1.6×	27 0.2×	16 0.1×	151 2.5×	3 0.1×	34	688
Kevin White	97 0.4×	93 0.6×	5 0.0×	55 0.9×	3 0.1×	54	652
Menghan Zhang	103 0.4×	49 0.3×	6 0.1×	304 5.0×	50 0.9×	51	763
Janet L. Miller	193 0.7×	80 0.5×	3 0.0×	266 4.4×	6 0.1×	66	905
Stephen J. Friedman	111 0.4×	10 0.1×	31 0.3×	76 1.2×	2 0.0×	52	822
Emma Alfaro	281 1.0×	37 0.2×	3 0.0×	54 0.9×	6 0.1×	85	724
William Tyler	67 0.3×	92 0.6×	5 0.0×	34 0.6×	5 0.1×	72	803

Countries citing papers authored by Elisabetta Mamolini

Since Specialization

Citations

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

Fields of papers citing papers by Elisabetta Mamolini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Mamolini

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

All Works

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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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