Arturo Naselli

26 total papers · 632 total citations
15 papers, 328 citations indexed

About

Arturo Naselli is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Arturo Naselli has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Arturo Naselli's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Sexual Differentiation and Disorders (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). Arturo Naselli is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Sexual Differentiation and Disorders (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). Arturo Naselli collaborates with scholars based in Italy, United States and Austria. Arturo Naselli's co-authors include M. Vignolo, Giorgio Aicardi, E. Di Battista, M. Mostert, Silvano Milani, G Gemme, Margherita Silengo, Giovanni Romeo, Margherita Lerone and Manuela Priolo and has published in prestigious journals such as Journal of Pediatric Gastroenterology and Nutrition, American Journal of Medical Genetics and Clinical Genetics.

In The Last Decade

Arturo Naselli

15 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Arturo Naselli	122	66	65	56	51	15	328
Eline Sandvig Andersen	56 0.5×	60 0.9×	31 0.5×	36 0.6×	53 1.0×	23	332
S.M.P.F. de Muinck Keizer-Schrama	55 0.5×	85 1.3×	127 2.0×	60 1.1×	59 1.2×	9	320
Lucia Lanciotti	79 0.6×	112 1.7×	122 1.9×	63 1.1×	64 1.3×	18	364
Maria J. Henwood	38 0.3×	54 0.8×	75 1.2×	89 1.6×	55 1.1×	12	346
M Bayer	36 0.3×	64 1.0×	43 0.7×	24 0.4×	32 0.6×	16	286
Griet Vanbillemont	43 0.4×	118 1.8×	119 1.8×	43 0.8×	29 0.6×	11	358
P Garnier	38 0.3×	82 1.2×	230 3.5×	28 0.5×	24 0.5×	22	331
Francesco Emma	49 0.4×	176 2.7×	20 0.3×	45 0.8×	70 1.4×	15	365
Lisa Rodgers	60 0.5×	101 1.5×	34 0.5×	28 0.5×	18 0.4×	18	305
Panagiotis Mylonas	21 0.2×	43 0.7×	54 0.8×	78 1.4×	22 0.4×	13	318

Countries citing papers authored by Arturo Naselli

Since Specialization

Citations

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

Fields of papers citing papers by Arturo Naselli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arturo Naselli

This figure shows the co-authorship network connecting the top 25 collaborators of Arturo Naselli. A scholar is included among the top collaborators of Arturo Naselli 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 Arturo Naselli. Arturo Naselli 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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