B Pasquino

605 total citations
11 papers, 390 citations indexed

About

B Pasquino is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, B Pasquino has authored 11 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in B Pasquino's work include Diabetes and associated disorders (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). B Pasquino is often cited by papers focused on Diabetes and associated disorders (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). B Pasquino collaborates with scholars based in Italy, Switzerland and Nepal. B Pasquino's co-authors include Giorgio Radetti, Dario Iafusco, Fabrizio Barbetti, Ornella Massa, Franco Meschi, Chiara Paganini, Maurizio Vanelli, Andrew T. Hattersley, Giuseppe Tonini and Renata Lorini and has published in prestigious journals such as Metabolism, Clinical Endocrinology and European Journal of Endocrinology.

In The Last Decade

B Pasquino

11 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B Pasquino Italy	9	253	252	192	112	43	11	390
R F James United Kingdom	10	238 0.9×	193 0.8×	88 0.5×	96 0.9×	10 0.2×	14	354
Keiji Kurokawa Japan	7	214 0.8×	118 0.5×	137 0.7×	97 0.9×	26 0.6×	10	321
Gill Spyer United Kingdom	8	266 1.1×	225 0.9×	184 1.0×	109 1.0×	67 1.6×	12	431
Joanna Nazim Poland	10	178 0.7×	176 0.7×	153 0.8×	54 0.5×	6 0.1×	23	275
Annelie Fischer Germany	8	86 0.3×	178 0.7×	76 0.4×	51 0.5×	15 0.3×	13	301
Marlène Huyvaert France	7	235 0.9×	125 0.5×	246 1.3×	159 1.4×	17 0.4×	7	401
Shogo Funakoshi Japan	10	223 0.9×	230 0.9×	107 0.6×	127 1.1×	8 0.2×	17	395
G. Rayman United Kingdom	8	128 0.5×	253 1.0×	74 0.4×	89 0.8×	30 0.7×	14	354
Leena Sarelin Finland	7	437 1.7×	327 1.3×	486 2.5×	223 2.0×	22 0.5×	9	666
Barbara Jenko Bizjan Slovenia	10	114 0.5×	142 0.6×	90 0.5×	72 0.6×	10 0.2×	30	298

Countries citing papers authored by B Pasquino

Since Specialization

Citations

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

Fields of papers citing papers by B Pasquino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B Pasquino

This figure shows the co-authorship network connecting the top 25 collaborators of B Pasquino. A scholar is included among the top collaborators of B 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 B Pasquino. B 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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11 of 11 papers shown

1.

Longhi, Silvia, B Pasquino, Annalisa Calcagno, et al.. (2012). Small metacarpal bones of low quality in obese children. Clinical Endocrinology. 78(1). 79–85. 5 indexed citations

2.

Iafusco, Dario, Ornella Massa, B Pasquino, et al.. (2011). Minimal incidence of neonatal/infancy onset diabetes in Italy is 1:90,000 live births. Acta Diabetologica. 49(5). 405–408. 115 indexed citations

3.

Radetti, Giorgio, et al.. (2004). Insulin sensitivity in growth hormone‐deficient children: influence of replacement treatment. Clinical Endocrinology. 61(4). 473–477. 17 indexed citations

4.

Massa, Ornella, Dario Iafusco, Elena D’Amato, et al.. (2004). KCNJ11activating mutations in Italian patients with permanent neonatal diabetes. Human Mutation. 25(1). 22–27. 128 indexed citations

5.

Radetti, Giorgio, et al.. (2004). Insulin sensitivity in Turner's syndrome: influence of GH treatment. European Journal of Endocrinology. 151(3). 351–354. 21 indexed citations

6.

Radetti, Giorgio, Mauro Bozzola, B Pasquino, et al.. (1998). Growth hormone bioactivity, insulin-like growth factors (IGFs), and IGF binding proteins in obese children. Metabolism. 47(12). 1490–1493. 48 indexed citations

7.

Radetti, Giorgio, Chiara Paganini, B Pasquino, et al.. (1997). Growth Hormone-Binding Proteins, IGF-I and IGF-Binding Proteins in Children and Adolescents with Type 1 Diabetes mellitus. Hormone Research. 47(3). 110–115. 25 indexed citations

8.

Radetti, Giorgio, et al.. (1994). Altered adrenal and thyroid function in children with insulin-dependent diabetes mellitus. Acta Diabetologica. 31(3). 138–140. 14 indexed citations

9.

Radetti, Giorgio, et al.. (1988). Hypothalamic-pituitary dysfunction and Hirschsprung's disease in the Bardet-Biedl syndrome.. PubMed. 43(3). 249–52. 8 indexed citations

10.

Radetti, Giorgio, et al.. (1987). [Tendency to low T3 syndrome in type 1 juvenile diabetes. Comparison of treatment with human and porcine insulin].. PubMed. 8(5). 683–6. 1 indexed citations

11.

Radetti, Giorgio, et al.. (1985). Thyroid function in type 1 juvenile diabetes mellitus: tendency to the low T3 syndrome.. PubMed. 40(6). 461–6. 8 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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