T.R.A. Macedo

33 papers receiving 879 citations

Peers

T.R.A. Macedo
Comparison fields: 5 of 97
  • Electrochemistry 158
  • Complementary and alternative medicine 118
  • Toxicology 50
  • Bioengineering 86
  • Cellular and Molecular Neuroscience 240
Replace Tice Macedo with:
Tice Macedo Portugal
Shimako Yoshitake Sweden
Vincenzo Di Matteo Italy
Ennio Esposito Italy
Maddalena Miele Italy
S.R. Bareggi Italy
Sandrine Parrot France
William H. Church United States
Hye Jin South Korea
Marianne Klein Brazil
T.R.A. Macedo relative to Tice Macedo Portugal Tice Macedo's profile →
Citations per field
00.5×2×4×6×7.2×
Tice Macedo · 1×
Citations per year

Countries citing papers authored by T.R.A. Macedo

Since Specialization
Citations

This map shows the geographic impact of T.R.A. Macedo'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 T.R.A. Macedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.R.A. Macedo more than expected).

Fields of papers citing papers by T.R.A. Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004108
2 1998103
3 200797
4 200287
5 200478
6
Synaptosomal GABA release as influenced by valerian root extract--involvement of the GABA carrier.
199467
7
In vitro study on the interaction of Valeriana officinalis L. extracts and their amino acids on GABAA receptor in rat brain.
199562
8 200444
9 200442
10 199938
11 201133
12 199523
13 200918
14 200216
15 200214
16 200213
17 199312
18 19949
19 19979
20 20047

About T.R.A. Macedo

T.R.A. Macedo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Psychiatry and Mental health and Organic Chemistry, having authored 33 papers that have together received 914 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (5 papers), Pain Mechanisms and Treatments (3 papers), Electrochemical sensors and biosensors (3 papers), Electrochemical Analysis and Applications (3 papers), Analytical Chemistry and Sensors (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Electrochemistry (158 citations), Complementary and alternative medicine (118 citations), Toxicology (50 citations), Bioengineering (86 citations) and Cellular and Molecular Neuroscience (240 citations). T.R.A. Macedo has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Ana Maria Oliveira‐Brett, Fernanda Borges, Carlos Ribeiro, Cristina Delerue‐Matos, Jorge Garrido, Sı́lvia H.P. Serrano, Catarina R. Oliveira, Frederico C. Pereira, A. Cristina Rego and Elsa Marques. Their work appears in journals such as Electroanalysis, Pharmacology, Annals of the New York Academy of Sciences, Pharmacological Research and Journal of Pharmaceutical and Biomedical Analysis.

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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