Melina P. da Silva

843 citations
29 papers · 634 indexed · h-index 13

Melina P. da Silva

29 papers receiving 632 citations

Peers

Melina P. da Silva
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 484
  • Cardiology and Cardiovascular Medicine 247
  • Physiology 40
  • Cognitive Neuroscience 135
  • Behavioral Neuroscience 24
Replace Patrícia M. De Paula with:
Patrícia M. De Paula Brazil
Vineet C. Chitravanshi United States
Andréa Siqueira Haibara Brazil
Steve Mifflin United States
Suzanne Killinger Australia
Carol A. Whiteis United States
Daniela Accorsi–Mendonça Brazil
Ida Llewellyn‐Smith Australia
Christopher Yardley Canada
Annabel E. Simms United Kingdom
Melina P. da Silva relative to Patrícia M. De Paula Brazil Patrícia M. De Paula's profile →
Citations per field
00.5×4.6×
Patrícia M. De Paula · 1×
Citations per year

Countries citing papers authored by Melina P. da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Melina P. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melina P. da Silva. 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 Melina P. da Silva. The network helps show where Melina P. da Silva may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20241
4 202221
5 20225
6 202116
7 20215
8 202011
9 201922
10 201910
11 201832
12 201815
13 201715
14 2016153
15 201620
16 201614
17 201416
18 2013109
19 201311
20 20134

About Melina P. da Silva

Melina P. da Silva is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 29 papers that have together received 634 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (26 papers), Heart Rate Variability and Autonomic Control (12 papers), Sleep and Wakefulness Research (8 papers), Neuroendocrine regulation and behavior (7 papers), Circadian rhythm and melatonin (7 papers), High Altitude and Hypoxia (6 papers), Obstructive Sleep Apnea Research (3 papers) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (484 citations), Cardiology and Cardiovascular Medicine (247 citations) and Physiology (40 citations). Melina P. da Silva has collaborated with scholars based in Brazil, New Zealand and United Kingdom. Frequent co-authors include Davi J. A. Moraes, Julian F. R. Paton, Benedito H. Machado, Wamberto Antônio Varanda, André S. Mecawi, Leni G. H. Bonagamba, Tymoteusz Żera, James P. Fisher, José Antunes‐Rodrigues and Fiona D. McBryde. Their work appears in journals such as Nature Medicine, Journal of Neuroscience and The Journal of Physiology.

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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