Mario Saugo

1.6k citations
58 papers · 1.3k · h-index 18

Impact in

Papers in

Mario Saugo

56 papers receiving 1.3k citations

Peers

Mario Saugo
Comparison fields: 5 of 81
  • Oncology 295
  • Cardiology and Cardiovascular Medicine 183
  • Endocrinology, Diabetes and Metabolism 108
  • Epidemiology 197
  • Surgery 224
Replace Roberto Gnavi with:
Roberto Gnavi Italy
Zahid Khan United Kingdom
Maria G. Karas United States
Kiheon Lee South Korea
Mohammad Reza Haddadi Iran
Ammar Al Homsi United Arab Emirates
Aécio Flávio Teixeira de Góis Brazil
Khuan Yew Chow Singapore
Log Young Kim South Korea
Aanuoluwa James Salemcity Nigeria
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Citations per field
00.5×2×3×4.3×
Roberto Gnavi · 1×
Citations per year

Countries citing papers authored by Mario Saugo

Since Specialization
Citations

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

Fields of papers citing papers by Mario Saugo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014255
2 2014138
3 2009101
4 200886
5 201679
6 201745
7 200842
8 201540
9 201232
10 201325
11 201725
12 201224
13 201524
14 200521
15 201120
16 201620
17 202119
18 201618
19 200617
20 201417

About Mario Saugo

Mario Saugo is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Public Health, Environmental and Occupational Health, Environmental Chemistry and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Healthcare Systems and Public Health (5 papers), Palliative Care and End-of-Life Issues (5 papers), Per- and polyfluoroalkyl substances research (4 papers), Blood Pressure and Hypertension Studies (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Cardiovascular Health and Risk Factors (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Hip and Femur Fractures (3 papers). The work is most often cited by research in Oncology (295 citations), Cardiology and Cardiovascular Medicine (183 citations), Endocrinology, Diabetes and Metabolism (108 citations), Epidemiology (197 citations) and Surgery (224 citations). Mario Saugo has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Ugo Fedeli, Nicola Gennaro, Giacomo Zoppini, Manuel Zorzi, Elena Schievano, Emanuela Bovo, Stefano Guzzinati, Angelo Paolo Dei Tos, Francesco Avossa and Chiara Fedato. Their work appears in journals such as Population Health Metrics, European Journal of Surgical Oncology, American Journal of Hypertension, Journal of Hypertension and Diabetes Research and Clinical Practice.

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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