Fernanda C. Silva

32 papers receiving 313 citations

Peers

Fernanda C. Silva
Comparison fields: 5 of 86
  • Behavioral Neuroscience 25
  • Endocrine and Autonomic Systems 38
  • Biological Psychiatry 12
  • Cardiology and Cardiovascular Medicine 51
  • Developmental Neuroscience 9
Replace Marcelo E. Batalhão with:
Marcelo E. Batalhão Brazil
Jenny C. Link United States
Madhu P. Sirivelu United States
Marnie G. Silverstein‐Metzler United States
Cenk Aydın Türkiye
Jessica A. Jiménez United States
C. S. Carter United States
Pamela Johnson Rowsey United States
Martino Orrù Italy
Sebastian Hühn Germany
Fernanda C. Silva relative to Marcelo E. Batalhão Brazil Marcelo E. Batalhão's profile →
Citations per field
00.5×1.5×
Marcelo E. Batalhão · 1×
Citations per year

Countries citing papers authored by Fernanda C. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda C. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernanda C. 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 Fernanda C. Silva. The network helps show where Fernanda C. Silva may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201942
2 201130
3 202024
4 201622
5 201518
6 201616
7 201215
8 202415
9 202313
10 201513
11 202213
12 201512
13 201511
14 20218
15 20127
16 20187
17 20137
18 20226
19 20154
20 20224

About Fernanda C. Silva

Fernanda C. Silva is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Ecology, Global and Planetary Change and Molecular Biology, having authored 32 papers that have together received 316 indexed citations. Recurring topics across this work include Marine and fisheries research (5 papers), Coral and Marine Ecosystems Studies (5 papers), Heart rate and cardiovascular health (4 papers), Coastal and Marine Management (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Biochemical effects in animals (3 papers), Agricultural and Food Sciences (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Behavioral Neuroscience (25 citations), Endocrine and Autonomic Systems (38 citations), Biological Psychiatry (12 citations), Cardiology and Cardiovascular Medicine (51 citations) and Developmental Neuroscience (9 citations). Fernanda C. Silva has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Deoclécio Alves Chianca, Rodrigo Cunha Alvim de Menezes, Ana Carolina Pinheiro Volp, Josefina Bressan, Christopher A. Lowry, Juan P. Quimbayo, Amanda Braga Figueiredo, Leonardo Vinícius Monteiro de Assis, Mauro César Isoldi and Maria Cristina de Oliveira Izar. Their work appears in journals such as Life Sciences, Frontiers in Physiology, Current Biology, Current Vascular Pharmacology and Horticultura Brasileira.

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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