Daniela Accorsi–Mendonça

20 papers receiving 335 citations

Peers

Daniela Accorsi–Mendonça
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 224
  • Physiology 22
  • Cardiology and Cardiovascular Medicine 98
  • Cognitive Neuroscience 75
  • Cellular and Molecular Neuroscience 66
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Verónica A. Campanucci Canada
Heather Jameson United States
Carol A. Whiteis United States
Melina P. da Silva Brazil
Christopher Yardley Canada
Cleyton R. Sobrinho Brazil
Brent Shell United States
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Citations per year

Countries citing papers authored by Daniela Accorsi–Mendonça

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Accorsi–Mendonça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Accorsi–Mendonça. 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 Daniela Accorsi–Mendonça. The network helps show where Daniela Accorsi–Mendonça may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200647
2 201545
3 201337
4 201133
5 201327
6 200426
7 201922
8 200820
9 201916
10 201614
11 200812
12 200911
13 20098
14 20095
15 20034
16 20024
17 20063
18 20022
19 20231
20 20081

About Daniela Accorsi–Mendonça

Daniela Accorsi–Mendonça is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology, having authored 22 papers that have together received 338 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (17 papers), Heart Rate Variability and Autonomic Control (7 papers), Sleep and Wakefulness Research (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Neuropeptides and Animal Physiology (3 papers), Adenosine and Purinergic Signaling (3 papers), Renin-Angiotensin System Studies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (224 citations), Physiology (22 citations), Cardiology and Cardiovascular Medicine (98 citations), Cognitive Neuroscience (75 citations) and Cellular and Molecular Neuroscience (66 citations). Daniela Accorsi–Mendonça has collaborated with scholars based in Brazil, Australia and Malaysia. Frequent co-authors include Benedito H. Machado, Leni G. H. Bonagamba, Ricardo M. Leão, Carlos Eduardo L. Almado, Jaci A. Castania, Davi J. A. Moraes, Wamberto Antônio Varanda, Ana Maria de Oliveira, Fernando Morgan de Aguiar Corrêa and Daniel B. Zoccal. Their work appears in journals such as Autonomic Neuroscience, Pharmacology, Neuroscience, The Journal of Physiology and Journal of Neurophysiology.

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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