Roberto Fabris

43 papers receiving 1.6k citations

Peers

Roberto Fabris
Comparison fields: 5 of 99
  • Physiology 618
  • Endocrine and Autonomic Systems 124
  • Epidemiology 425
  • Cardiology and Cardiovascular Medicine 242
  • Endocrinology, Diabetes and Metabolism 170
Replace Seng Khee Gan with:
Seng Khee Gan Australia
Koichiro Azuma Japan
Ingrid M. Jazet Netherlands
Hermes Vieira Barbeiro Brazil
Marek Strączkowski Poland
So Hun Kim South Korea
Guido Lattuada Italy
Vivion Crowley Ireland
Amy Fleischman United States
Maria Ludovica Monaco Italy
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Citations per year

Countries citing papers authored by Roberto Fabris

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Fabris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006260
2 2014153
3 2020143
4 2013109
5 202095
6 201380
7 200172
8 200572
9 201961
10 200253
11 199953
12 200249
13 199747
14 201740
15 201838
16 202135
17 201633
18 201731
19 201928
20 199320

About Roberto Fabris

Roberto Fabris is a scholar working on Physiology, Surgery, Epidemiology, Molecular Biology and Endocrine and Autonomic Systems, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Bariatric Surgery and Outcomes (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diet and metabolism studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Physiology (618 citations), Endocrine and Autonomic Systems (124 citations), Epidemiology (425 citations), Cardiology and Cardiovascular Medicine (242 citations) and Endocrinology, Diabetes and Metabolism (170 citations). Roberto Fabris has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Roberto Vettor, Roberto Serra, Giovanni Federspil, Claudio Pagano, Luca Busetto, Silvia Bettini, Massimiliano Olivieri, Marco Andrea Rossato, Anna Belligoli and Marnie Granzotto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Obesity, Clinical Biochemistry, Diabetes and American Journal of Physiology-Endocrinology 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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