Daniel Panarotto

10 papers receiving 191 citations

Peers

Daniel Panarotto
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 82
  • Endocrine and Autonomic Systems 25
  • Physiology 65
  • Epidemiology 73
  • Cardiology and Cardiovascular Medicine 38
Replace TM Barber with:
TM Barber United Kingdom
D. Spiegelman United States
C. Belosi Italy
Martha Eunice Rodríguez-Arellano Mexico
Atsuko Tamasawa Japan
Moutusi Raychaudhuri India
Jessenia Morillo Venezuela
Mendane Saka Türkiye
Robert W. Koivula Sweden
Elżbieta Petriczko Poland
Daniel Panarotto relative to TM Barber United Kingdom TM Barber's profile →
Citations per field
00.5×1.5×
TM Barber · 1×
Citations per year

Countries citing papers authored by Daniel Panarotto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Panarotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Panarotto, 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 Daniel Panarotto Line = papers co-authored together Daniel Panarotto links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2002101
2 200027
3 200724
4 200017
5 200414
6 200912
7 20085
8 20043
9
Patogenese da doenca cardiovascular no diabetes
20081
10 20121
11
Levantamento dos métodos de análise de hemoglobina glicada utilizados em laboratórios da Serra Gaúcha = Survey on methods of analysis of glicated hemoglobin used by laboratories from Serra Gaúcha
20050

About Daniel Panarotto

Daniel Panarotto is a scholar working on Dermatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 11 papers that have together received 205 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Lipid metabolism and disorders (2 papers), Dermatologic Treatments and Research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Obesity and Health Practices (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (82 citations), Endocrine and Autonomic Systems (25 citations), Physiology (65 citations), Epidemiology (73 citations) and Cardiology and Cardiovascular Medicine (38 citations). Daniel Panarotto has collaborated with scholars based in Brazil and Canada. Frequent co-authors include Pierre Maheux, Márcio Manozzo Boniatti, Daniel Tessier, Jean‐Luc Ardilouze, Alisson Roberto Teles, J Poisson, Ghislain Devroede, Louise Lovatto, Carlos Zúbaran and Marina Schumacher. Their work appears in journals such as Metabolism, Revista de Saúde Pública, Journal of Clinical Nursing, Drug and Alcohol Review and European Journal of Clinical Investigation.

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.

Explore authors with similar magnitude of impact