Roberta Patalano

40 total papers · 578 total citations
20 papers, 366 citations indexed

About

Roberta Patalano is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Roberta Patalano has authored 20 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Roberta Patalano's work include Pituitary Gland Disorders and Treatments (7 papers), Neuroendocrine Tumor Research Advances (3 papers) and MicroRNA in disease regulation (3 papers). Roberta Patalano is often cited by papers focused on Pituitary Gland Disorders and Treatments (7 papers), Neuroendocrine Tumor Research Advances (3 papers) and MicroRNA in disease regulation (3 papers). Roberta Patalano collaborates with scholars based in Italy, Portugal and United States. Roberta Patalano's co-authors include Claudia Pivonello, Rosario Pivonello, Annamaria Colao, Renata S. Auriemma, Chiara Simeoli, Mariarosaria Negri, Mariano Galdiero, Ludovica F. S. Grasso, Cristina de Angelis and Annamaria Colao and has published in prestigious journals such as Scientific Reports, Endocrinology and International Journal of Obesity.

In The Last Decade

Roberta Patalano

19 papers receiving 360 citations

Author Peers

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

Author						Papers	Cites
Roberta Patalano	190	85	81	70	50	20	366
Sena Hwang	193 1.0×	52 0.6×	132 1.6×	56 0.8×	33 0.7×	27	360
Kun Wang	160 0.8×	59 0.7×	60 0.7×	90 1.3×	45 0.9×	31	360
Ertuğrul Taşan	149 0.8×	51 0.6×	44 0.5×	58 0.8×	29 0.6×	31	305
Maria Andrikoula	133 0.7×	53 0.6×	24 0.3×	79 1.1×	61 1.2×	15	336
Takafumi Majima	103 0.5×	103 1.2×	27 0.3×	93 1.3×	33 0.7×	16	347
Mingtong Xu	116 0.6×	58 0.7×	24 0.3×	96 1.4×	50 1.0×	23	362
Mozhgan Dorkhan	162 0.9×	51 0.6×	61 0.8×	63 0.9×	22 0.4×	22	323
G Kay	76 0.4×	84 1.0×	58 0.7×	56 0.8×	31 0.6×	16	299
D Teale	231 1.2×	60 0.7×	24 0.3×	78 1.1×	19 0.4×	11	333
Beatriz Tendler	168 0.9×	58 0.7×	52 0.6×	56 0.8×	27 0.5×	17	390

Countries citing papers authored by Roberta Patalano

Since Specialization

Citations

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

Fields of papers citing papers by Roberta Patalano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Patalano

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