Mirela D. Gianeti

17 total papers · 507 total citations
9 papers, 356 citations indexed

About

Mirela D. Gianeti is a scholar working on Dermatology, Pharmaceutical Science and Insect Science. According to data from OpenAlex, Mirela D. Gianeti has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 4 papers in Pharmaceutical Science and 4 papers in Insect Science. Recurrent topics in Mirela D. Gianeti's work include Skin Protection and Aging (6 papers), Bee Products Chemical Analysis (4 papers) and Advancements in Transdermal Drug Delivery (4 papers). Mirela D. Gianeti is often cited by papers focused on Skin Protection and Aging (6 papers), Bee Products Chemical Analysis (4 papers) and Advancements in Transdermal Drug Delivery (4 papers). Mirela D. Gianeti collaborates with scholars based in Brazil. Mirela D. Gianeti's co-authors include Patrícia Maria Berardo Gonçalves Maia Campos, Lorena Rigo Gaspar, Thais Guaratini, Patrícia Mazureki Campos, Daiane Garcia Mercúrio, Alexandre Kanashiro, Yara Maria Lucisano-Valim, Tais A. L. Wagemaker and Ediléia Bagatin and has published in prestigious journals such as Molecules, International Journal of Pharmaceutics and Food and Chemical Toxicology.

In The Last Decade

Mirela D. Gianeti

9 papers receiving 326 citations

Author Peers

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

Author Last Decade Papers Cites
Mirela D. Gianeti 144 91 88 65 60 9 356
Anna Ratz‐Łyko 112 0.8× 76 0.8× 83 0.9× 89 1.4× 37 0.6× 9 369
Katarzyna Pytkowska 90 0.6× 79 0.9× 88 1.0× 120 1.8× 24 0.4× 11 373
Tais A. L. Wagemaker 86 0.6× 54 0.6× 109 1.2× 37 0.6× 28 0.5× 15 311
Paola Ziosi 123 0.9× 66 0.7× 106 1.2× 111 1.7× 18 0.3× 18 400
Valeria Dissette 123 0.9× 63 0.7× 50 0.6× 67 1.0× 17 0.3× 11 326
Elizângela Abreu Dutra 106 0.7× 62 0.7× 78 0.9× 82 1.3× 16 0.3× 4 327
Natháli Schopf Pegoraro 92 0.6× 38 0.4× 74 0.8× 28 0.4× 95 1.6× 17 351
Daniela D’Almeida Peres 157 1.1× 85 0.9× 68 0.8× 74 1.1× 45 0.8× 11 320
Kay Schwabe 111 0.8× 47 0.5× 86 1.0× 41 0.6× 158 2.6× 10 365
Lucas Malvezzi de Macedo 43 0.3× 51 0.6× 122 1.4× 60 0.9× 13 0.2× 7 300

Countries citing papers authored by Mirela D. Gianeti

Since Specialization
Citations

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

Fields of papers citing papers by Mirela D. Gianeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mirela D. Gianeti. 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 Mirela D. Gianeti. The network helps show where Mirela D. Gianeti may publish in the future.

Co-authorship network of co-authors of Mirela D. Gianeti

This figure shows the co-authorship network connecting the top 25 collaborators of Mirela D. Gianeti. A scholar is included among the top collaborators of Mirela D. Gianeti 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 Mirela D. Gianeti. Mirela D. Gianeti 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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