Andrea Vecchiola

39 papers receiving 856 citations

Peers

Andrea Vecchiola
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 284
  • Behavioral Neuroscience 27
  • Physiology 30
  • Cardiology and Cardiovascular Medicine 130
  • Cellular and Molecular Neuroscience 96
Replace Pawel Namsolleck with:
Pawel Namsolleck Germany
Maria João Pinho Portugal
Belisario E. Fernández Argentina
Rocío Vila‐Bedmar Spain
Jason Yantha Canada
Rafael M. Costa Brazil
Hiromitsu Matsui Japan
Christian Pinna Italy
Viviane Delghingaro‐Augusto Australia
Yanyun Gu China
Andrea Vecchiola relative to Pawel Namsolleck Germany Pawel Namsolleck's profile →
Citations per field
00.5×1.5×1.8×
Pawel Namsolleck · 1×
Citations per year

Countries citing papers authored by Andrea Vecchiola

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Vecchiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016192
2 200454
3 201544
4 201642
5 200639
6 201434
7 201633
8 201829
9 201925
10 199624
11 199923
12 200722
13 201622
14 201322
15 201819
16 200717
17 202017
18 201916
19 201915
20 202115

About Andrea Vecchiola

Andrea Vecchiola is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology, having authored 41 papers that have together received 872 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (21 papers), Adrenal Hormones and Disorders (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Sodium Intake and Health (3 papers), Stress Responses and Cortisol (3 papers), Adenosine and Purinergic Signaling (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (284 citations), Behavioral Neuroscience (27 citations), Physiology (30 citations), Cardiology and Cardiovascular Medicine (130 citations) and Cellular and Molecular Neuroscience (96 citations). Andrea Vecchiola has collaborated with scholars based in Chile, Australia and United States. Frequent co-authors include Carlos Fardella, Alexis M. Kalergis, Cristóbal Fuentes, Cristián A. Carvajal, Natalia Muñoz‐Durango, René Baudrand, Andrés Castillo, Alejandra Tapia-Castillo, Carlos F. Lagos and Fidel Allende. Their work appears in journals such as American Journal of Hypertension, Journal of Cellular Physiology, The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Molecular and Cellular Endocrinology.

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