Roberto Fabris

44 papers receiving 1.6k citations

Peers

Roberto Fabris
Comparison fields: 5 of 69
  • Endocrine and Autonomic Systems 40
  • Epidemiology 237
  • Geriatrics and Gerontology 21
  • Infectious Diseases 120
  • Physiology 143
Replace Doç.Dr. İlker Taşçi with:
Doç.Dr. İlker Taşçi Türkiye
Emmanuelle Vidal‐Petiot France
Kalypso Karastergiou United States
Corinna Geisler Germany
Junji Saruwatari Japan
Věra Adámková Czechia
Agnieszka Kapłon‐Cieślicka Poland
Niharika Arora Duggal United Kingdom
Kari E. Wong United States
Roberto Fabris relative to Doç.Dr. İlker Taşçi Türkiye Doç.Dr. İlker Taşçi's profile →
Citations per field
00.5×1.5×2×2.4×
Doç.Dr. İlker Taşçi · 1×
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 2006261
2 2014155
3 2020144
4 2013111
5 202097
6 201381
7 200572
8 200171
9 201961
10 199953
11 200253
12 200249
13 199748
14 201742
15 201838
16 202135
17 201633
18 201731
19 201928
20 199320

About Roberto Fabris

Roberto Fabris is a scholar working on Surgery, Endocrine and Autonomic Systems, Epidemiology, Immunology and Infectious Diseases, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (8 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Complement system in diseases (3 papers), COVID-19 Clinical Research Studies (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Pharmacology and Obesity Treatment (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (40 citations), Epidemiology (237 citations), Geriatrics and Gerontology (21 citations), Infectious Diseases (120 citations) and Physiology (143 citations). Roberto Fabris has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Roberto Vettor, Giovanni Federspil, Claudio Pagano, Luca Busetto, Silvia Bettini, Massimiliano Olivieri, Marco Rossato, Anna Belligoli, Marnie Granzotto and Gabriella Milan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Obesity, Scientific Reports, Obesity Facts and Obesity Surgery.

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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