A. Spada

4.8k citations
131 papers · 4k · h-index 34

Impact in

Papers in

A. Spada

129 papers receiving 3.8k citations

Peers

A. Spada
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Endocrine and Autonomic Systems 201
  • Nephrology 299
  • Reproductive Medicine 217
  • Epidemiology 347
Replace P. Beck‐Peccoz with:
P. Beck‐Peccoz Italy
Hiroyuki Koshiyama Japan
Toshio Tsushima Japan
Yasuhiko Okimura Japan
Jacky M. Burrin United Kingdom
Anna Skottner Sweden
Evelien F. Gevers United Kingdom
BETHEL S. STANNARD United States
Jocelyne Magré France
Cary W. Cooper United States
A. Spada relative to P. Beck‐Peccoz Italy P. Beck‐Peccoz's profile →
Citations per field
00.5×1.5×2.0×
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-authors

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

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987457
2 1987152
3 2005151
4 200396
5 197390
6 200690
7 197388
8 200287
9 200284
10 200182
11 201781
12 200580
13 197376
14 200567
15 200163
16 200361
17 200660
18 197659
19 200159
20 200359

About A. Spada

A. Spada is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Genetics, Molecular Biology and Epidemiology, having authored 131 papers that have together received 4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (68 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), Parathyroid Disorders and Treatments (13 papers), Receptor Mechanisms and Signaling (8 papers), Genetic Syndromes and Imprinting (7 papers), Adrenal and Paraganglionic Tumors (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Endocrine and Autonomic Systems (201 citations), Nephrology (299 citations), Reproductive Medicine (217 citations) and Epidemiology (347 citations). A. Spada has collaborated with scholars based in Italy, Germany and Iran. Frequent co-authors include P. Beck‐Peccoz, GIULIANA GIANNATTASIO, Lucia Vallar, Andrea Gerardo Lania, Giovanna Mantovani, Sabrina Corbetta, Giovanni Faglia, Maura Arosio, PIETRO TRAVAGLINI and Marcello Filopanti. Their work appears in journals such as European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, Molecular and Cellular Endocrinology 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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