Nicola Argese

475 total citations
9 papers, 349 citations indexed

About

Nicola Argese is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Nicola Argese has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Nicola Argese's work include Pituitary Gland Disorders and Treatments (4 papers), Adrenal Hormones and Disorders (4 papers) and Hormonal Regulation and Hypertension (3 papers). Nicola Argese is often cited by papers focused on Pituitary Gland Disorders and Treatments (4 papers), Adrenal Hormones and Disorders (4 papers) and Hormonal Regulation and Hypertension (3 papers). Nicola Argese collaborates with scholars based in Italy, United Kingdom and Ireland. Nicola Argese's co-authors include Jeremy Tomlinson, Rachel Crowley, Paul M. Stewart, Ashley Grossman, Conor Woods, Emilia Sbardella, Andrea M. Isidori, Bahram Jafar‐Mohammadi, Rachel Webster and Andrew Toogood and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and European Journal of Endocrinology.

In The Last Decade

Nicola Argese

9 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicola Argese Italy	7	267	59	46	34	33	9	349
Carmen V. Villabona United States	5	295 1.1×	17 0.3×	59 1.3×	50 1.5×	38 1.2×	10	355
Rosario Ferrigno Italy	12	244 0.9×	48 0.8×	131 2.8×	8 0.2×	12 0.4×	26	353
Simona Găloiu Romania	8	148 0.6×	35 0.6×	54 1.2×	3 0.1×	18 0.5×	21	242
Elisa Vaiani Argentina	9	125 0.5×	115 1.9×	55 1.2×	6 0.2×	25 0.8×	22	328
S. Einaudi Italy	11	220 0.8×	73 1.2×	97 2.1×	5 0.1×	43 1.3×	14	317
Fatma Dursun Türkiye	9	68 0.3×	63 1.1×	25 0.5×	7 0.2×	11 0.3×	37	218
Diana Raskauskiene United Kingdom	5	383 1.4×	23 0.4×	190 4.1×	8 0.2×	8 0.2×	7	432
M Pura Slovakia	8	149 0.6×	74 1.3×	100 2.2×	4 0.1×	13 0.4×	18	258
Barry A. Warner United States	5	132 0.5×	44 0.7×	83 1.8×	14 0.4×	83 2.5×	8	317
Sunita M C De Sousa Australia	12	254 1.0×	48 0.8×	137 3.0×	3 0.1×	7 0.2×	37	402

Countries citing papers authored by Nicola Argese

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Argese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Argese

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

All Works

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9 of 9 papers shown

Castellano, Elena, Giorgio Borretta, Roberto Attanasio, et al.. (2022). Older Adults with Type 2 Diabetes Treated with Metformin: AME-METStudy - A Multicentric Real-world Study in Italy. Endocrine Metabolic & Immune Disorders - Drug Targets. 23(6). 818–825. 2 indexed citations

Pofi, Riccardo, Emilia Sbardella, Nicola Argese, et al.. (2018). The Short Synacthen (Corticotropin) Test Can Be Used to Predict Recovery of Hypothalamo-Pituitary-Adrenal Axis Function. The Journal of Clinical Endocrinology & Metabolism. 103(8). 3050–3059. 46 indexed citations

Sbardella, Emilia, Andrea M. Isidori, Conor Woods, et al.. (2016). Baseline morning cortisol level as a predictor of pituitary–adrenal reserve: a comparison across three assays. Clinical Endocrinology. 86(2). 177–184. 61 indexed citations

Cerquetti, Lidia, Barbara Bucci, Nicola Argese, et al.. (2015). C-MYC modulation induces responsiveness to paclitaxel in adrenocortical cancer cell lines. International Journal of Oncology. 46(5). 2231–2240. 13 indexed citations

Woods, Conor, Nicola Argese, Matthew Chapman, et al.. (2015). Adrenal suppression in patients taking inhaled glucocorticoids is highly prevalent and management can be guided by morning cortisol. European Journal of Endocrinology. 173(5). 633–642. 110 indexed citations

Crowley, Rachel, Nicola Argese, Jeremy Tomlinson, & Paul M. Stewart. (2014). Central Hypoadrenalism. The Journal of Clinical Endocrinology & Metabolism. 99(11). 4027–4036. 63 indexed citations

Delfino, Michele, Jlenia Elia, Nicola Argese, et al.. (2012). Testicular Adrenal Rest Tumors in Patients With Congenital Adrenal Hyperplasia. Journal of Ultrasound in Medicine. 31(3). 383–388. 36 indexed citations

Delfino, Michele, et al.. (2010). Intratesticular Isolated Anechoic Areas. Journal of Ultrasound in Medicine. 29(11). 1589–1593. 1 indexed citations

Misiti, Silvia, Antonio Stigliano, Marina Borro, et al.. (2009). Proteomic profiles in hyperandrogenic syndromes. Journal of Endocrinological Investigation. 33(3). 156–164. 17 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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