A.M. Pasquino

26 total papers · 553 total citations
20 papers, 396 citations indexed

About

A.M. Pasquino is a scholar working on Reproductive Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, A.M. Pasquino has authored 20 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Reproductive Medicine, 9 papers in Molecular Biology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in A.M. Pasquino's work include Hypothalamic control of reproductive hormones (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Sexual Differentiation and Disorders (6 papers). A.M. Pasquino is often cited by papers focused on Hypothalamic control of reproductive hormones (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Sexual Differentiation and Disorders (6 papers). A.M. Pasquino collaborates with scholars based in Italy, United States and Colombia. A.M. Pasquino's co-authors include Silvano Bertelloni, Ida Pucarelli, Maria Segni, F. Galluzzi, M. Cisternino, Franco Antoniazzi, F. De Luca, P. Borrelli, Teresa Arrigo and Małgorzata Waśniewska and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Acta Paediatrica.

In The Last Decade

A.M. Pasquino

20 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
A.M. Pasquino 226 183 154 81 51 20 396
J. Van Campenhout 191 0.8× 146 0.8× 103 0.7× 96 1.2× 46 0.9× 19 434
P. Berlier 92 0.4× 184 1.0× 84 0.5× 51 0.6× 61 1.2× 23 384
Violeta A. Chiauzzi 202 0.9× 117 0.6× 92 0.6× 106 1.3× 28 0.5× 19 426
Antonella Anzuini 108 0.5× 115 0.6× 172 1.1× 177 2.2× 33 0.6× 27 355
Hal Landy 53 0.2× 205 1.1× 102 0.7× 87 1.1× 39 0.8× 25 383
René Mornex 92 0.4× 182 1.0× 134 0.9× 65 0.8× 18 0.4× 27 395
Eef Hoeben 161 0.7× 70 0.4× 137 0.9× 64 0.8× 16 0.3× 21 391
D. E. BU'LOCK 71 0.3× 167 0.9× 126 0.8× 63 0.8× 17 0.3× 20 380
Kazutomo Akasofu 111 0.5× 62 0.3× 116 0.8× 158 2.0× 50 1.0× 23 412
Y. Vrindts‐Gevaert 73 0.3× 90 0.5× 62 0.4× 59 0.7× 30 0.6× 22 418

Countries citing papers authored by A.M. Pasquino

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Pasquino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M. Pasquino. 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 A.M. Pasquino. The network helps show where A.M. Pasquino may publish in the future.

Co-authorship network of co-authors of A.M. Pasquino

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