Silvia Pinach

2.6k total citations
44 papers, 1.9k citations indexed

About

Silvia Pinach is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Silvia Pinach has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Silvia Pinach's work include Liver Disease Diagnosis and Treatment (11 papers), Pancreatic function and diabetes (11 papers) and Heat shock proteins research (10 papers). Silvia Pinach is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Pancreatic function and diabetes (11 papers) and Heat shock proteins research (10 papers). Silvia Pinach collaborates with scholars based in Italy, Belarus and United Kingdom. Silvia Pinach's co-authors include Gabriella Gruden, Roberto Gambino, Paolo Cavallo Perin, Graziella Bruno, Federica Barutta, Maurizio Cassader, Maria Pia Rastaldi, Francesca Saba, Giovanni Musso and Alessandro Corbelli and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Hepatology.

In The Last Decade

Silvia Pinach

44 papers receiving 1.9k citations

Peers

Silvia Pinach
Comparison fields: 5 of 102
  • Molecular Biology 620
  • Endocrinology, Diabetes and Metabolism 549
  • Epidemiology 412
  • Surgery 389
  • Pharmacology 295
Replace Jee‐Young Han with:
Jee‐Young Han South Korea
Federica Barutta Italy
Kum Hyun Han South Korea
Daiji Kawanami Japan
Xiaoxin X. Wang United States
Tadashi Suehiro Japan
Atsuko Nakatsuka Japan
Su Chi Lim Singapore
Dae Ryong South Korea
Linda Davis United States
Jee‐Young Han South Korea View profile →
Citations per field, relative to Silvia Pinach
Silvia Pinach · 1×
Citations per year, relative to Silvia Pinach
Silvia Pinach · 1×

Countries citing papers authored by Silvia Pinach

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pinach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Pinach

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Pinach. A scholar is included among the top collaborators of Silvia Pinach 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 Silvia Pinach. Silvia Pinach 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 3
3 42
4 38
5 94
6 51
7 7
8 263
9 4
10 25
11 8
12 32
13 51
14 41
15
Incidence of type 1 and type 2 diabetes in adults aged 30–49 years: thepopulation-based registry in the province of Turin, Italy
4
16 20
17 3
18 54
19 27
20 18

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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