Daniela O. Toyama

35 total papers · 855 total citations
32 papers, 637 citations indexed

About

Daniela O. Toyama is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Daniela O. Toyama has authored 32 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 16 papers in Molecular Biology and 10 papers in Pharmacology. Recurrent topics in Daniela O. Toyama's work include Venomous Animal Envenomation and Studies (23 papers), Healthcare and Venom Research (9 papers) and Ion channel regulation and function (6 papers). Daniela O. Toyama is often cited by papers focused on Venomous Animal Envenomation and Studies (23 papers), Healthcare and Venom Research (9 papers) and Ion channel regulation and function (6 papers). Daniela O. Toyama collaborates with scholars based in Brazil and Spain. Daniela O. Toyama's co-authors include Marcos Hikari Toyama, Helena Serra Azul Monteiro, Sérgio Marangoni, Manassés Claudino Fonteles, Alice Maria Costa Martins, Paulo Sérgio Ferreira Barbosa, Paulete Romoff, Paulo Pinto Joazeiro, Oriana A. Fávero and Luís Otávio Saggion Beriam and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Daniela O. Toyama

32 papers receiving 623 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 O. Toyama 387 338 136 92 84 32 637
Daniela de Oliveira Toyama 382 1.0× 321 0.9× 101 0.7× 91 1.0× 85 1.0× 22 690
João José Franco 439 1.1× 327 1.0× 114 0.8× 69 0.8× 136 1.6× 15 738
Clayton Z. Oliveira 636 1.6× 442 1.3× 129 0.9× 128 1.4× 205 2.4× 17 755
Fábio Kiss Ticli 611 1.6× 433 1.3× 116 0.9× 97 1.1× 206 2.5× 15 758
Ramasamy P. Kumar 234 0.6× 377 1.1× 127 0.9× 49 0.5× 80 1.0× 21 568
Vanessa Moreira 485 1.3× 251 0.7× 143 1.1× 119 1.3× 231 2.8× 25 692
Jaime Andrés Pereañez 432 1.1× 284 0.8× 104 0.8× 83 0.9× 190 2.3× 53 561
Subir Chandra Dasgupta 274 0.7× 318 0.9× 126 0.9× 39 0.4× 35 0.4× 52 659
Miriam Vergínia Lourenço 333 0.9× 361 1.1× 90 0.7× 53 0.6× 98 1.2× 29 675
Juliana Félix‐Silva 169 0.4× 244 0.7× 57 0.4× 24 0.3× 60 0.7× 20 556

Countries citing papers authored by Daniela O. Toyama

Since Specialization
Citations

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

Fields of papers citing papers by Daniela O. Toyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela O. Toyama

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