P. Travaglino

31 total papers · 605 total citations
22 papers, 423 citations indexed

About

P. Travaglino is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, P. Travaglino has authored 22 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in P. Travaglino's work include Growth Hormone and Insulin-like Growth Factors (13 papers), Lipid metabolism and disorders (5 papers) and Birth, Development, and Health (4 papers). P. Travaglino is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (13 papers), Lipid metabolism and disorders (5 papers) and Birth, Development, and Health (4 papers). P. Travaglino collaborates with scholars based in Italy, Argentina and United States. P. Travaglino's co-authors include Cristina Meazza, Sara Pagani, Mauro Bozzola, Fabrizio De Benedetti, Elena Bozzola, Alberto Martini, Patrizia Pignatti, Angelo Ravelli, Silvia Magni‐Manzoni and M. Tauber and has published in prestigious journals such as European Journal of Endocrinology, Bone Marrow Transplantation and Molecular Genetics and Metabolism.

In The Last Decade

P. Travaglino

22 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
P. Travaglino	160	86	81	69	54	22	423
Gili Hart	151 0.9×	99 1.2×	128 1.6×	79 1.1×	48 0.9×	26	403
M. Lange	190 1.2×	78 0.9×	82 1.0×	25 0.4×	45 0.8×	19	479
Angelo Acquafredda	113 0.7×	15 0.2×	108 1.3×	104 1.5×	56 1.0×	30	383
Satoko Nakahara	45 0.3×	91 1.1×	102 1.3×	79 1.1×	32 0.6×	12	391
Sara C. Landgrebe	190 1.2×	29 0.3×	71 0.9×	61 0.9×	39 0.7×	13	435
N. E. Borglin	54 0.3×	47 0.5×	38 0.5×	62 0.9×	48 0.9×	38	468
Y. Vrindts‐Gevaert	90 0.6×	128 1.5×	62 0.8×	59 0.9×	30 0.6×	22	418
Elena Bianchi	36 0.2×	45 0.5×	134 1.7×	114 1.7×	65 1.2×	27	417
Azam Kouhkan	44 0.3×	44 0.5×	84 1.0×	30 0.4×	85 1.6×	19	450
Homayoun Sadeghi	145 0.9×	19 0.2×	150 1.9×	47 0.7×	87 1.6×	19	443

Countries citing papers authored by P. Travaglino

Since Specialization

Citations

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

Fields of papers citing papers by P. Travaglino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Travaglino

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