F. Massara

1.4k citations
64 papers · 1.1k indexed · h-index 17

F. Massara

61 papers receiving 1.0k citations

Peers

F. Massara
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 774
  • Behavioral Neuroscience 81
  • Endocrine and Autonomic Systems 142
  • Reproductive Medicine 79
  • Physiology 165
Replace Eckehart Wiedemann with:
Eckehart Wiedemann United States
Enrico Mazza Italy
T Barreca Italy
Aage Prange Hansen Denmark
Thad C. Hagen United States
W.A. Stubbs United Kingdom
Angelo Margutti Italy
Jørgen Weeke Denmark
P.M. Horrocks United Kingdom
Ian A. Reid United States
F. Massara relative to Eckehart Wiedemann United States Eckehart Wiedemann's profile →
Citations per field
00.5×
Eckehart Wiedemann · 1×
Citations per year

Countries citing papers authored by F. Massara

Since Specialization
Citations

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

Fields of papers citing papers by F. Massara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 19879
3 198717
4 198676
5
Prolactin and TSH response to alpha-methyl-l-tyrosine in normal subjects and in women with pathological hyperprolactinemia.
19851
6 19857
7 19842
8 198321
9
Glucagon stimulation of potassium efflux from the liver
19821
10 19828
11 19805
12 198017
13
Arginine-induced hypophosphatemia and hyperkaliemia in man.
19797
14 197612
15 197241
16 197116
17 197024
18
Radioimmunoassay of human growth hormone.
197069
19 19661
20 196216

About F. Massara

F. Massara is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Endocrine and Autonomic Systems, Nephrology and Physiology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (28 papers), Pituitary Gland Disorders and Treatments (27 papers), Potassium and Related Disorders (8 papers), Diet and metabolism studies (6 papers), Adrenal and Paraganglionic Tumors (6 papers), Electrolyte and hormonal disorders (5 papers), Pharmacological Effects and Assays (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (774 citations), Behavioral Neuroscience (81 citations), Endocrine and Autonomic Systems (142 citations), Reproductive Medicine (79 citations) and Physiology (165 citations). F. Massara has collaborated with scholars based in Italy, Belarus and Japan. Frequent co-authors include F. Camanni, Ezio Ghigo, Gian Michele Molinatti, Eugenio E. Müller, Vittorio Locatelli, Enrico Mazza, E.E. Müller, L Belforte, Antonio Torsello and Marcus Redaèlli. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Diabetologia, Hormone and Metabolic Research and Acta Diabetologica.

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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