F Armellini

2.6k citations
49 papers · 2.1k indexed · h-index 23

F Armellini

49 papers receiving 2.0k citations

Peers

F Armellini
Comparison fields: 5 of 107
  • Physiology 1.0k
  • Endocrinology, Diabetes and Metabolism 496
  • Cardiology and Cardiovascular Medicine 593
  • Endocrine and Autonomic Systems 139
  • Public Health, Environmental and Occupational Health 453
Replace ROBERT MURRAY with:
ROBERT MURRAY United States
Lars Sjöström Sweden
A Nadeau Canada
Agnès Pascot Canada
D. Carey Australia
Sylviane Vol France
Yoshiaki Keno Japan
Tiziana Todesco Italy
Mehmet Emre Atabek Türkiye
Marie‐Christine Pouliot Canada
F Armellini relative to ROBERT MURRAY United States ROBERT MURRAY's profile →
Citations per field
00.5×4.4×
ROBERT MURRAY · 1×
Citations per year

Countries citing papers authored by F Armellini

Since Specialization
Citations

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

Fields of papers citing papers by F Armellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20146
2 20006
3 199923
4 1999211
5 1998130
6 199818
7 199740
8
Computed tomography visceral adipose tissue volume measurements of Italians. Predictive equations.
199612
9 199615
10 199614
11 199442
12 199430
13
Alcohol consumption, smoking habits and body fat distribution in Italian men and women aged 20-60 years.
199322
14 199310
15 199363
16 199282
17 199231
18 199016
19 199021
20 199019

About F Armellini

F Armellini is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Pharmacy, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (20 papers), Cardiovascular Disease and Adiposity (11 papers), Diet and metabolism studies (11 papers), Thermoregulation and physiological responses (8 papers), Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (5 papers), Nutrition and Health in Aging (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Physiology (1.0k citations), Endocrinology, Diabetes and Metabolism (496 citations), Cardiology and Cardiovascular Medicine (593 citations), Endocrine and Autonomic Systems (139 citations) and Public Health, Environmental and Occupational Health (453 citations). F Armellini has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Ottavio Bosello, Mauro Zamboni, Tiziana Todesco, E Turcato, R. Robbi, Rocco Micciolo, I A Bergamo-Andreis, L. Rigo, L. Bissoli and Alessandro Lechi. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Internal Medicine, International Journal of Obesity, Annals of Nutrition and Metabolism and Metabolism.

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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