A. Scarda

407 citations
24 papers · 329 · h-index 11

Impact in

Papers in

    • Bone health and treatments 10
    • Parathyroid Disorders and Treatments 12

A. Scarda

23 papers receiving 310 citations

Peers

A. Scarda
Comparison fields: 5 of 58
  • Orthopedics and Sports Medicine 177
  • Nephrology 106
  • Oncology 132
  • Endocrinology, Diabetes and Metabolism 69
  • Pathology and Forensic Medicine 63
Replace Carlo Valtorta with:
Carlo Valtorta Italy
Kateřina Zajíčková Czechia
Takeshi Sugishita Japan
Philip G. Rose United States
M. L. Traba Spain
M. Li United States
Daiki Nakaoka Japan
J.E. McOsker United States
O. Young United Kingdom
H. A. Sørensen Denmark
A. Scarda relative to Carlo Valtorta Italy Carlo Valtorta's profile →
Citations per field
00.5×
Carlo Valtorta · 1×
Citations per year

Countries citing papers authored by A. Scarda

Since Specialization
Citations

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

Fields of papers citing papers by A. Scarda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Scarda, 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 A. Scarda Line = papers co-authored together A. Scarda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199359
2 199343
3 200035
4
Serum osteocalcin in primary hyperparathyroidism: short-term effect of surgery.
198823
5 199821
6 199520
7 199219
8 199417
9 199514
10 198713
11 199411
12 198110
13 19979
14
Ionised and total serum magnesium in renal transplant patients.
20039
15 19927
16 19746
17 19874
18 19793
19 19832
20 19841

About A. Scarda

A. Scarda is a scholar working on Oncology, Nephrology, Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 24 papers that have together received 329 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (12 papers), Bone health and treatments (10 papers), Bone health and osteoporosis research (7 papers), Vitamin D Research Studies (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Medical Imaging and Pathology Studies (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Thyroid and Parathyroid Surgery (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (177 citations), Nephrology (106 citations), Oncology (132 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Pathology and Forensic Medicine (63 citations). A. Scarda has collaborated with scholars based in Italy. Frequent co-authors include Salvatore Minisola, M. T. Pacitti, R. Rosso, L. Scarnecchia, Elisabetta Romagnoli, Vincenzo Carnevale, G Mazzuoli, G. F. Mazzuoli, Gianfranco Mazzuoli and E D’Erasmo. Their work appears in journals such as Calcified Tissue International, European Journal of Endocrinology, Osteoporosis International, Postgraduate Medical Journal and European Urology.

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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