Alberto Cafferata

475 citations
8 papers · 142 · h-index 5

Impact in

Papers in

Alberto Cafferata

8 papers receiving 135 citations

Peers

Alberto Cafferata
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 46
  • Surgery 46
  • Cardiology and Cardiovascular Medicine 22
  • Epidemiology 20
  • Geriatrics and Gerontology 2
Replace Kayoko Ryomoto with:
Kayoko Ryomoto Japan
Richa Patel United States
Alessandra Schiavo Italy
István Reiber Hungary
E. Bilianou Greece
Marissa Lightbourne United States
Ana Torres do Rego Spain
Н. М. Ахмеджанов Russia
Arman Postadzhiyan Bulgaria
Biyi Shen United States
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Citations per field
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Citations per year

Countries citing papers authored by Alberto Cafferata

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Cafferata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Alberto Cafferata, 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 Alberto Cafferata Line = papers co-authored together Alberto Cafferata links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201974
2 201441
3 20179
4 20215
5 20135
6 20134
7 20133
8
[Role of the enterocyte in type 2 diabetes mellitus associated dyslipidemia].
20181

About Alberto Cafferata

Alberto Cafferata is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Pharmacology, having authored 8 papers that have together received 142 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Cardiovascular Disease and Adiposity (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipoproteins and Cardiovascular Health (1 paper), Diabetes and associated disorders (1 paper), Lipid metabolism and disorders (1 paper) and Diabetes Management and Education (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (46 citations), Surgery (46 citations), Cardiology and Cardiovascular Medicine (22 citations), Epidemiology (20 citations) and Geriatrics and Gerontology (2 citations). Alberto Cafferata has collaborated with scholars based in Argentina, Chile and Ecuador. Frequent co-authors include Ada Cuevas, Rodrigo Alonso, Javier Farias, Patricia González, Cecilia Zeballos, Walter Massón, Martín Lobo, Graciela Molinero, Juan Patricio Nogueira and Charles Marques Lourenço. Their work appears in journals such as American Journal of Therapeutics, Journal of Atherosclerosis and Thrombosis, Journal of clinical lipidology, High Blood Pressure & Cardiovascular Prevention and Revista Argentina de Cardiología.

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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