Gilda Neves

74 total papers · 1.1k total citations
35 papers, 558 citations indexed

About

Gilda Neves is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Gilda Neves has authored 35 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 8 papers in Pharmacology. Recurrent topics in Gilda Neves's work include Receptor Mechanisms and Signaling (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Gilda Neves is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Gilda Neves collaborates with scholars based in Brazil, United States and Canada. Gilda Neves's co-authors include Stela Maris Kuze Rates, Carlos Alberto Manssour Fraga, Eliezer J. Barreiro, Anthony A. Grace, Ricardo Menegatti, Gilsane Lino von Poser, Renata Moschini Daudt, Teresa Dalla Costa, François Noël and Luan Pereira Diniz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Science Translational Medicine.

In The Last Decade

Gilda Neves

32 papers receiving 551 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gilda Neves 197 122 88 81 72 35 558
Stanley Juan Chavéz Gutierrez 153 0.8× 50 0.4× 34 0.4× 43 0.5× 77 1.1× 45 597
Elias Carvalho Padilha 265 1.3× 72 0.6× 109 1.2× 28 0.3× 27 0.4× 26 681
Eunice D. Farfán‐García 180 0.9× 39 0.3× 108 1.2× 25 0.3× 101 1.4× 40 638
Neeraj Tiwari 178 0.9× 68 0.6× 53 0.6× 68 0.8× 32 0.4× 23 561
Muhammad Asim 212 1.1× 152 1.2× 28 0.3× 41 0.5× 75 1.0× 48 576
Mst. Marium Begum 135 0.7× 49 0.4× 42 0.5× 45 0.6× 109 1.5× 40 656
Florian Ueberall 326 1.7× 48 0.4× 28 0.3× 40 0.5× 56 0.8× 26 697
Danish Mahmood 177 0.9× 56 0.5× 52 0.6× 17 0.2× 42 0.6× 43 601
Audrey Davis 228 1.2× 181 1.5× 101 1.1× 36 0.4× 40 0.6× 31 655
Dalu Mancama 245 1.2× 141 1.2× 22 0.3× 130 1.6× 42 0.6× 40 623

Countries citing papers authored by Gilda Neves

Since Specialization
Citations

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

Fields of papers citing papers by Gilda Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilda Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Gilda Neves. A scholar is included among the top collaborators of Gilda Neves based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gilda Neves. Gilda Neves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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