Anna Spada

10.7k citations
179 papers · 7.5k · 1 hit paper · h-index 47

Impact in

Papers in

Anna Spada

175 papers receiving 7.1k citations

Anna Spada's Hit Papers

GTPase inhibiting mutations activate the α chain of Gs and stimulate adenylyl cyclase in human pituitary tumours 1989 · 1.2k citations
1.2k0+12+24Years since publication4008001.2k

Peers

Anna Spada
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Nephrology 419
  • Genetics 532
  • Genetics 1.4k
  • Epidemiology 1.1k
Replace Andrea Lania with:
Andrea Lania Italy
Shern L. Chew United Kingdom
Bruce G. Robinson Australia
Gilbert J. Cote United States
Lee S. Weinstein United States
Thierry Brue France
Friedhelm Raue Germany
Wolfgang Saeger Germany
Christine Bellanné‐Chantelot France
Olivier Chabre France
Anna Spada relative to Andrea Lania Italy Andrea Lania's profile →
Citations per field
00.5×1.5×2.1×
Andrea Lania · 1×
Citations per year

Countries citing papers authored by Anna Spada

Since Specialization
Citations

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

Fields of papers citing papers by Anna Spada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GTPase inhibiting mutations activate the α chain of Gs and stimulate adenylyl cyclase in human pituitary tumours
Hit paper breakdown →
19891234
2 1990242
3 1979239
4 2006235
5 2002211
6 2007179
7 1979166
8 2003120
9 2009115
10 200496
11 200194
12 198693
13 200088
14 200387
15 198187
16 200686
17 201284
18 201684
19 198684
20 200280

About Anna Spada

Anna Spada is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Genetics and Surgery, having authored 179 papers that have together received 7.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (72 papers), Growth Hormone and Insulin-like Growth Factors (41 papers), Neuroendocrine Tumor Research Advances (26 papers), Genetic Syndromes and Imprinting (16 papers), Adrenal and Paraganglionic Tumors (15 papers), Parathyroid Disorders and Treatments (15 papers), Neuroblastoma Research and Treatments (11 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Nephrology (419 citations), Genetics (532 citations), Genetics (1.4k citations) and Epidemiology (1.1k citations). Anna Spada has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giovanna Mantovani, Lucia Vallar, Paolo Beck‐Peccoz, Andrea Lania, Claudia A. Landis, Susan B. Masters, G. Faglia, Maura Arosio, Sabrina Corbetta and G. Giannattasio. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Clinical Endocrinology, Neuroendocrinology and Molecular and Cellular Endocrinology.

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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