U. Raggi

735 citations
24 papers · 587 · h-index 16

Impact in

Papers in

U. Raggi

23 papers receiving 549 citations

Peers

U. Raggi
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 288
  • Behavioral Neuroscience 58
  • Pharmacology 82
  • Endocrine and Autonomic Systems 31
  • Cardiology and Cardiovascular Medicine 96
Replace R Ylikahri with:
R Ylikahri Finland
A. De Schaepdryver Belgium
AJ Vander
B. Möhring Germany
F LEENEN Canada
Lorraine Tassinari United States
D D Smyth Canada
M. R. Lee United Kingdom
Knud D. Knudsen United States
Nidia Basso Argentina
U. Raggi relative to R Ylikahri Finland R Ylikahri's profile →
Citations per field
00.5×1.7×
R Ylikahri · 1×
Citations per year

Countries citing papers authored by U. Raggi

Since Specialization
Citations

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

Fields of papers citing papers by U. Raggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside U. Raggi, 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 U. Raggi Line = papers co-authored together U. Raggi 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 1977124
2 197865
3 197642
4 197940
5 198735
6 198033
7 198427
8 198423
9 197823
10 197222
11 198622
12 197722
13 199520
14 198820
15 197418
16 198516
17 197810
18 19816
19 19826
20 19805

About U. Raggi

U. Raggi is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Molecular Biology, Pharmacology and Physiology, having authored 24 papers that have together received 587 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (5 papers), Pharmacology and Obesity Treatment (4 papers), Hormonal Regulation and Hypertension (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Neuroendocrine regulation and behavior (3 papers), Diabetes Treatment and Management (3 papers), Adrenal Hormones and Disorders (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (288 citations), Behavioral Neuroscience (58 citations), Pharmacology (82 citations), Endocrine and Autonomic Systems (31 citations) and Cardiology and Cardiovascular Medicine (96 citations). U. Raggi has collaborated with scholars based in Italy. Frequent co-authors include Guido Norbiato, Maurizio Bevilacqua, P. Micossi, Antonio E. Pontiroli, F. Cavagnini, Cecilia Invitti, Anna Di Landro, Enrica Chebat, Pierluigi Bertora and M. Peracchi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Clinical Investigation, European Journal of Endocrinology, Diabetes 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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