Barbara Lucatello

39 total papers · 832 total citations
17 papers, 510 citations indexed

About

Barbara Lucatello is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Barbara Lucatello has authored 17 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Endocrine and Autonomic Systems and 7 papers in Physiology. Recurrent topics in Barbara Lucatello's work include Regulation of Appetite and Obesity (7 papers), Hormonal Regulation and Hypertension (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). Barbara Lucatello is often cited by papers focused on Regulation of Appetite and Obesity (7 papers), Hormonal Regulation and Hypertension (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). Barbara Lucatello collaborates with scholars based in Italy, Netherlands and Germany. Barbara Lucatello's co-authors include Ezio Ghigo, Andrea Benso, Fabio Broglio, Tracy Ann Williams, Isabella Castellano, Paolo Mulatero, Silvia Monticone, Fabio Lanfranco, Gianluca Aimaretti and Silvia Grottoli and has published in prestigious journals such as Hypertension, Journal of Hypertension and Clinical Endocrinology.

In The Last Decade

Barbara Lucatello

17 papers receiving 498 citations

Author Peers

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

Author						Papers	Cites
Barbara Lucatello	310	264	98	97	89	17	510
Eishi Miki	371 1.2×	208 0.8×	131 1.3×	71 0.7×	119 1.3×	16	619
H. Sasaki	218 0.7×	203 0.8×	110 1.1×	46 0.5×	167 1.9×	28	548
Daniel Sherbet	145 0.5×	238 0.9×	125 1.3×	168 1.7×	100 1.1×	14	559
A. E. Pontiroli	267 0.9×	122 0.5×	122 1.2×	36 0.4×	98 1.1×	30	549
J.F. Gautier	289 0.9×	141 0.5×	168 1.7×	67 0.7×	109 1.2×	21	531
S. Khilnani	125 0.4×	105 0.4×	147 1.5×	54 0.6×	97 1.1×	14	513
Dianne Matthews	276 0.9×	184 0.7×	114 1.2×	51 0.5×	135 1.5×	15	514
Yumi Jimbu	157 0.5×	109 0.4×	112 1.1×	43 0.4×	218 2.4×	24	562
Angelo Fusco	196 0.6×	134 0.5×	143 1.5×	34 0.4×	234 2.6×	14	613
M. Komjati	253 0.8×	221 0.8×	91 0.9×	37 0.4×	159 1.8×	25	471

Countries citing papers authored by Barbara Lucatello

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Lucatello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Lucatello

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