Massimo Perotto

991 citations
15 papers · 471 · h-index 10

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Gout, Hyperuricemia, Uric Acid
    • Diabetes Management and Research
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Treatment and Management

Papers in

Massimo Perotto

14 papers receiving 457 citations

Peers

Massimo Perotto
Comparison fields: 5 of 71
  • Nephrology 119
  • Endocrinology, Diabetes and Metabolism 120
  • Genetics 110
  • Surgery 93
  • Cardiology and Cardiovascular Medicine 37
Replace M. Pfeifer with:
M. Pfeifer Germany
Vassen Pauvaday Australia
Elisa T. Lee United States
W. Marg Germany
Hari Krishan Aggarwal India
G. Giani Germany
Daniel B. Larach United States
María J. Carrera Spain
Ryuzo Takaya Japan
Fernanda Satake Novaes Brazil
Massimo Perotto relative to M. Pfeifer Germany M. Pfeifer's profile →
Citations per field
00.5×4.4×
M. Pfeifer · 1×
Citations per year

Countries citing papers authored by Massimo Perotto

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Perotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008111
2 200797
3 201160
4 200857
5 200942
6 201537
7 201120
8 201313
9 20149
10 20099
11 20137
12 20147
13 20181
14 20121
15 20230

About Massimo Perotto

Massimo Perotto is a scholar working on Nephrology, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Experimental and Cognitive Psychology, having authored 15 papers that have together received 471 indexed citations. Recurring topics across this work include Diabetes and associated disorders (2 papers), Sleep and Work-Related Fatigue (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Aortic Disease and Treatment Approaches (1 paper), Aortic aneurysm repair treatments (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Nephrology (119 citations), Endocrinology, Diabetes and Metabolism (120 citations), Genetics (110 citations), Surgery (93 citations) and Cardiology and Cardiovascular Medicine (37 citations). Massimo Perotto has collaborated with scholars based in Italy, Belarus and Israel. Frequent co-authors include Graziella Bruno, P. Cavallo‐Perin, Giulia Novelli, Francesco Panero, Paolo Fornengo, Chiara Zucco, G Bargero, G. Grassi, Andrea Soddu and Gianfranco Pagano. Their work appears in journals such as Diabetologia, Acta Diabetologica, American Journal of Industrial Medicine, Diabetes Care and Diabetes.

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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