Maria Gaccione

543 total citations
8 papers, 374 citations indexed

About

Maria Gaccione is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Maria Gaccione has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Maria Gaccione's work include Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (3 papers). Maria Gaccione is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (3 papers). Maria Gaccione collaborates with scholars based in Italy, Brazil and United States. Maria Gaccione's co-authors include Gaetano Lombardi, Antonella Di Sarno, Annamaria Colao, Rosario Pivonello, Ermelinda Guerra, Annamaria Colao, Stefano Zarrilli, Michele De Rosa, Maurizio Galderisi and Nicola Milano and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and Journal of Endocrinological Investigation.

In The Last Decade

Maria Gaccione

8 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maria Gaccione Italy	7	268	142	50	42	41	8	374
L. Bartolone Italy	10	315 1.2×	102 0.7×	39 0.8×	12 0.3×	66 1.6×	14	477
Andrea Renzullo Italy	8	153 0.6×	66 0.5×	43 0.9×	53 1.3×	58 1.4×	11	337
Ertuğrul Taşan Türkiye	11	149 0.6×	52 0.4×	54 1.1×	28 0.7×	29 0.7×	31	307
P. Beck-Peccoz Italy	10	394 1.5×	60 0.4×	41 0.8×	50 1.2×	51 1.2×	17	502
M Marugo Italy	12	249 0.9×	83 0.6×	53 1.1×	86 2.0×	55 1.3×	37	469
W. Scherbaum Germany	14	261 1.0×	75 0.5×	54 1.1×	17 0.4×	29 0.7×	29	480
Andrew Lansdown United Kingdom	9	157 0.6×	58 0.4×	42 0.8×	99 2.4×	43 1.0×	17	344
J P Thomas United Kingdom	12	231 0.9×	89 0.6×	32 0.6×	43 1.0×	50 1.2×	25	369
Catharina Bullmann Germany	8	129 0.5×	45 0.3×	48 1.0×	31 0.7×	18 0.4×	13	269
M. A. Santos Portugal	9	214 0.8×	66 0.5×	18 0.4×	47 1.1×	28 0.7×	12	352

Countries citing papers authored by Maria Gaccione

Since Specialization

Citations

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

Fields of papers citing papers by Maria Gaccione

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Gaccione

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

All Works

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8 of 8 papers shown

Violante, A, et al.. (2008). Body fat in men with prolactinoma. Journal of Endocrinological Investigation. 31(11). 985–990. 25 indexed citations

Colao, Annamaria, Maurizio Galderisi, Antonella Di Sarno, et al.. (2008). Increased Prevalence of Tricuspid Regurgitation in Patients with Prolactinomas Chronically Treated with Cabergoline. The Journal of Clinical Endocrinology & Metabolism. 93(10). 3777–3784. 107 indexed citations

Rosa, Michele De, Antonio Ciccarelli, Stefano Zarrilli, et al.. (2006). The treatment with cabergoline for 24 month normalizes the quality of seminal fluid in hyperprolactinaemic males. Clinical Endocrinology. 64(3). 307–313. 46 indexed citations

Colao, Annamaria, Rosario Pivonello, Luigi Maria Cavallo, et al.. (2006). Age changes the diagnostic accuracy of mean profile and nadir growth hormone levels after oral glucose in postoperative patients with acromegaly. Clinical Endocrinology. 65(2). 250–256. 35 indexed citations

Faggiano, Antongiulio, Antonio Pisani, Francesco Milone, et al.. (2006). Endocrine Dysfunction in Patients with Fabry Disease. The Journal of Clinical Endocrinology & Metabolism. 91(11). 4319–4325. 42 indexed citations

Rosa, Michele De, Stefano Zarrilli, Antonella Di Sarno, et al.. (2003). Hyperprolactinemia in Men: Clinical and Biochemical Features and Response to Treatment. Endocrine. 20(1-2). 75–82. 85 indexed citations

Colao, Annamaria, Mariagiovanna Filippella, Carolina Di Somma, et al.. (2003). Somatostatin Analogs in Treatment of Non-Growth Hormone-Secreting Pituitary Adenomas. Endocrine. 20(3). 279–284. 28 indexed citations

Pivonello, Rosario, Antongiulio Faggiano, Mariagiovanna Filippella, et al.. (2002). Hypothalamus-pituitary-adrenal axis in central diabetes insipidus: ACTH and cortisol responsiveness to CRH administration. Journal of Endocrinological Investigation. 25(11). 932–937. 6 indexed citations

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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