A. Spada

4.8k citations
126 papers · 3.6k indexed · h-index 33

A. Spada

125 papers receiving 3.4k citations

Peers

A. Spada
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Endocrine and Autonomic Systems 330
  • Nephrology 224
  • Reproductive Medicine 184
  • Epidemiology 729
Replace P. Beck‐Peccoz with:
P. Beck‐Peccoz Italy
Francesco Minuto Italy
G. Faglia Italy
L A Frohman United States
Andrea Giustina Italy
Hiroyuki Koshiyama Japan
Carlo Carella Italy
B. Conte‐Devolx France
Sabrina Corbetta Italy
Olivier Chabre France
A. Spada relative to P. Beck‐Peccoz Italy P. Beck‐Peccoz's profile →
Citations per field
00.5×1.5×
P. Beck‐Peccoz · 1×
Citations per year

Countries citing papers authored by A. Spada

Since Specialization
Citations

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

Fields of papers citing papers by A. Spada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201825
2 20179
3 201532
4 201548
5 201421
6
Use of tolvaptan for delayed hyponatremia after transsphenoidal surgery for pituitary adenoma: a case report
20121
7 201110
8 201012
9
High Incidence of AIP mutations in sporadic pituitary adenomas in young patients with macroadenomas
20095
10 200735
11
The A990G polymorphism of calcium sensing receptor gene (CASR) is associated with nephrolithiasis in patients with primary hyperparathyroidism (PHPT)
20063
12 20064
13 200560
14 20029
15 200158
16 200020
17 199930
18 199635
19 19954
20 1987403

About A. Spada

A. Spada is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Endocrine and Autonomic Systems, Epidemiology and Genetics, having authored 126 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (64 papers), Growth Hormone and Insulin-like Growth Factors (47 papers), Neuroendocrine Tumor Research Advances (19 papers), Parathyroid Disorders and Treatments (12 papers), Adrenal and Paraganglionic Tumors (12 papers), Genetic Syndromes and Imprinting (9 papers), Metabolism, Diabetes, and Cancer (8 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Endocrine and Autonomic Systems (330 citations), Nephrology (224 citations), Reproductive Medicine (184 citations) and Epidemiology (729 citations). A. Spada has collaborated with scholars based in Italy, Iran and Switzerland. Frequent co-authors include P. Beck‐Peccoz, G. Giannattasio, Lucia Vallar, Andrea Lania, Giovanna Mantovani, Sabrina Corbetta, G. Faglia, Maura Arosio, P. Travaglini and Marcello Filopanti. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Molecular and Cellular Endocrinology, Hormone and Metabolic Research and Cancer Letters.

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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