S. Piazzi

748 citations
29 papers · 460 · h-index 11

Impact in

Papers in

S. Piazzi

29 papers receiving 439 citations

Peers

S. Piazzi
Comparison fields: 5 of 71
  • Clinical Biochemistry 133
  • Endocrinology, Diabetes and Metabolism 114
  • Hematology 69
  • Urology 37
  • Rheumatology 79
Replace Maria Wanic-Kossowska with:
Maria Wanic-Kossowska Poland
Shinji Nomura Japan
J. Bachmann Germany
J. T. Ireland United Kingdom
C. R. Caflisch United States
Hassan Bouzidi Tunisia
Jack M. Cooperman United States
Chris Wambi United States
Barbara S. Daniels United States
Alice Mazur United States
S. Piazzi relative to Maria Wanic-Kossowska Poland Maria Wanic-Kossowska's profile →
Citations per field
00.5×12.3×
Maria Wanic-Kossowska · 1×
Citations per year

Countries citing papers authored by S. Piazzi

Since Specialization
Citations

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

Fields of papers citing papers by S. Piazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Piazzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Piazzi Line = papers co-authored together S. Piazzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199691
2 199277
3 200052
4 199742
5 198639
6 198335
7 198212
8 198211
9 198411
10 199110
11 198710
12 198410
13 19889
14 19858
15
Amino acids and infantile autism
19947
16 19876
17
[Results of screening of congenital hypothyroidism and iodine excess in neonatal age].
19984
18
Effects of somatostatin on plasma ammonia and amino acid profile during fasting and after protein feeding in cirrhotic patients.
19864
19 19913
20 19943

About S. Piazzi

S. Piazzi is a scholar working on Molecular Biology, Clinical Biochemistry, Epidemiology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 460 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (7 papers), Sexual Differentiation and Disorders (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (4 papers), Neonatal Health and Biochemistry (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Clinical Biochemistry (133 citations), Endocrinology, Diabetes and Metabolism (114 citations), Hematology (69 citations), Urology (37 citations) and Rheumatology (79 citations). S. Piazzi has collaborated with scholars based in Italy and Brazil. Frequent co-authors include Antonio Balsamo, Alessandra Cassio, Piero Pirazzoli, Gabriele Grossi, E Cacciari, E Cacciari, A. Bargossi, Maurizio Battino, Giampaolo Bianchi and Silvana Salardi. Their work appears in journals such as Analytical Letters, Clinical Endocrinology, Analytical and Bioanalytical Chemistry, The Journal of Pediatrics and Journal of Inherited Metabolic Disease.

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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