Andrea Secco

827 total citations
20 papers, 493 citations indexed

About

Andrea Secco is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Andrea Secco has authored 20 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Andrea Secco's work include Growth Hormone and Insulin-like Growth Factors (11 papers), Genetic Syndromes and Imprinting (5 papers) and Adrenal Hormones and Disorders (4 papers). Andrea Secco is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (11 papers), Genetic Syndromes and Imprinting (5 papers) and Adrenal Hormones and Disorders (4 papers). Andrea Secco collaborates with scholars based in Italy, Israel and France. Andrea Secco's co-authors include Mohamad Maghnie, Natascia Di Iorgi, Carmine Tinelli, Renata Lorini, Flavia Napoli, Sandro Loche, Roberto Gastaldi, Erika Calandra, Francesca Temporini and Stefano Parodi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Mineral Research and Bone.

In The Last Decade

Andrea Secco

20 papers receiving 484 citations

Peers

Andrea Secco
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 383
  • Genetics 142
  • Molecular Biology 122
  • Pediatrics, Perinatology and Child Health 76
  • Surgery 73
Roland Pfaeffle Germany
Annalisa Calcagno Italy
Scott Mandel United States
Caroline Thalassinos France
Hal Landy United States
Katsumi Goji Japan
Philippe Chanson France
S. Obradović Czechia
P. Martul Spain
A Johanson United States
Roland Pfaeffle Germany View profile →
Citations per field, relative to Andrea Secco
Andrea Secco · 1×
Citations per year, relative to Andrea Secco
Andrea Secco · 1×

Countries citing papers authored by Andrea Secco

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Secco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Secco

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 2
5 4
6 5
7 1
8 20
9 4
10 32
11 19
12 38
13 45
14 9
15 33
16 43
17 62
18 4
19 69
20 98

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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