A. Sabbatini

1.1k citations
32 papers · 688 indexed · h-index 15

A. Sabbatini

32 papers receiving 678 citations

Peers

A. Sabbatini
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 390
  • Endocrinology, Diabetes and Metabolism 216
  • Endocrine and Autonomic Systems 63
  • Nutrition and Dietetics 89
  • Behavioral Neuroscience 19
Replace Ana Paula de Faria with:
Ana Paula de Faria Brazil
Jee‐Young Oh South Korea
Srividya Kidambi United States
Yoichi Ohno Japan
L. Romayne Kurukulasuriya United States
Margarita Torres‐Tamayo Mexico
Ako Fukami Japan
Enrico Agabiti Rosei Italy
Sofie Brouwers Belgium
Simonetta Lombardi Italy
A. Sabbatini relative to Ana Paula de Faria Brazil Ana Paula de Faria's profile →
Citations per field
00.5×3.2×
Ana Paula de Faria · 1×
Citations per year

Countries citing papers authored by A. Sabbatini

Since Specialization
Citations

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

Fields of papers citing papers by A. Sabbatini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202096
2 202096
3 20194
4 201814
5 201710
6 20178
7 20162
8 20168
9 201532
10 201511
11 201427
12 201441
13 20146
14 201415
15 201314
16 20134
17 201337
18 201337
19 201311
20 201238

About A. Sabbatini

A. Sabbatini is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 32 papers that have together received 688 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (14 papers), Cardiovascular Health and Disease Prevention (10 papers), Hormonal Regulation and Hypertension (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Sodium Intake and Health (4 papers), Cardiovascular Disease and Adiposity (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (390 citations), Endocrinology, Diabetes and Metabolism (216 citations) and Endocrine and Autonomic Systems (63 citations). A. Sabbatini has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Georgios Kararigas, Heitor Moreno, Ana Paula de Faria, Natália R. Barbaro, Vanessa Fontana, Rodrigo Modolo, Alessandra Mileni Versuti Ritter, Stéphane Laurent, Francisco Antônio Helfenstein Fonseca and Caroline Demacq. Their work appears in journals such as Journal of the American College of Cardiology, British Journal of Pharmacology and Gene.

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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