Daniela P. Garçon

50 total papers · 623 total citations
29 papers, 415 citations indexed

About

Daniela P. Garçon is a scholar working on Ecology, Aquatic Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela P. Garçon has authored 29 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 21 papers in Aquatic Science and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela P. Garçon's work include Crustacean biology and ecology (29 papers), Aquaculture Nutrition and Growth (21 papers) and Physiological and biochemical adaptations (19 papers). Daniela P. Garçon is often cited by papers focused on Crustacean biology and ecology (29 papers), Aquaculture Nutrition and Growth (21 papers) and Physiological and biochemical adaptations (19 papers). Daniela P. Garçon collaborates with scholars based in Brazil. Daniela P. Garçon's co-authors include John Campbell McNamara, Francisco A. Leone, Malson N. Lucena, Fernando Luís Medina Mantelatto, Douglas Chodi Masui, Marcelo R. Pinto, Rosa dos Prazeres Melo Furriel, Rogério Oliveira Faleiros, Carlos Frederico Leite Fontes and Wagner C. Valenti and has published in prestigious journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - Biomembranes and Archives of Biochemistry and Biophysics.

In The Last Decade

Daniela P. Garçon

26 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela P. Garçon 380 259 76 63 48 29 415
Rogério Oliveira Faleiros 340 0.9× 219 0.8× 50 0.7× 34 0.5× 47 1.0× 13 370
Alejandra A. López Mañanes 289 0.8× 273 1.1× 37 0.5× 69 1.1× 45 0.9× 34 432
Genevieve Nègre-Sadargues 230 0.6× 331 1.3× 50 0.7× 32 0.5× 65 1.4× 19 436
E A Santos 272 0.7× 233 0.9× 119 1.6× 34 0.5× 49 1.0× 17 463
Linda H. Mantel 363 1.0× 149 0.6× 135 1.8× 25 0.4× 52 1.1× 15 439
Yunliang Lu 266 0.7× 254 1.0× 44 0.6× 48 0.8× 26 0.5× 33 459
Changbin Song 226 0.6× 316 1.2× 46 0.6× 36 0.6× 49 1.0× 35 459
Ivone Giffard‐Mena 274 0.7× 267 1.0× 26 0.3× 96 1.5× 80 1.7× 26 454
Geneviève Payen 290 0.8× 175 0.7× 151 2.0× 26 0.4× 12 0.3× 19 419
Matthew Landau 223 0.6× 181 0.7× 248 3.3× 52 0.8× 16 0.3× 28 451

Countries citing papers authored by Daniela P. Garçon

Since Specialization
Citations

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

Fields of papers citing papers by Daniela P. Garçon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela P. Garçon. 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 P. Garçon. The network helps show where Daniela P. Garçon may publish in the future.

Co-authorship network of co-authors of Daniela P. Garçon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela P. Garçon. A scholar is included among the top collaborators of Daniela P. Garçon 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 Daniela P. Garçon. Daniela P. Garçon 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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