Fábio S. Miranda

67 total papers · 560 total citations
30 papers, 471 citations indexed

About

Fábio S. Miranda is a scholar working on Oncology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Fábio S. Miranda has authored 30 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Organic Chemistry and 8 papers in Materials Chemistry. Recurrent topics in Fábio S. Miranda's work include Metal complexes synthesis and properties (10 papers), Magnetism in coordination complexes (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Fábio S. Miranda is often cited by papers focused on Metal complexes synthesis and properties (10 papers), Magnetism in coordination complexes (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Fábio S. Miranda collaborates with scholars based in Brazil, United States and Spain. Fábio S. Miranda's co-authors include Almir Spinelli, Cristiano Giacomelli, Norberto S. Gonçalves, Karina Ckless, Dayani Galato, Maurício Lanznaster, Carlos B. Pinheiro, Ademir Neves, Célia M. Ronconi and Maria D. Vargas and has published in prestigious journals such as Chemical Communications, Physical Chemistry Chemical Physics and Tetrahedron.

In The Last Decade

Fábio S. Miranda

27 papers receiving 464 citations

Author Peers

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

Author Last Decade Papers Cites
Fábio S. Miranda 195 117 86 80 64 30 471
Michal Malček 121 0.6× 60 0.5× 152 1.8× 67 0.8× 82 1.3× 37 404
Nebojša Đ. Pantelić 227 1.2× 211 1.8× 52 0.6× 59 0.7× 34 0.5× 46 526
Margarida Meireles 257 1.3× 205 1.8× 67 0.8× 36 0.5× 30 0.5× 11 552
Emilia Elena Iorgulescu 118 0.6× 108 0.9× 69 0.8× 157 2.0× 19 0.3× 32 464
J. Kowalski 155 0.8× 52 0.4× 81 0.9× 49 0.6× 46 0.7× 45 445
Sana Sabahat 114 0.6× 49 0.4× 141 1.6× 89 1.1× 46 0.7× 42 478
Shyam Kishor 129 0.7× 51 0.4× 156 1.8× 66 0.8× 30 0.5× 30 472
Atakilt Abebe 111 0.6× 125 1.1× 61 0.7× 161 2.0× 26 0.4× 53 470
S. Dutta 136 0.7× 171 1.5× 68 0.8× 34 0.4× 36 0.6× 13 550
Thi Lê Anh Nguyen 144 0.7× 47 0.4× 117 1.4× 105 1.3× 149 2.3× 30 455

Countries citing papers authored by Fábio S. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Fábio S. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio S. Miranda. 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 Fábio S. Miranda. The network helps show where Fábio S. Miranda may publish in the future.

Co-authorship network of co-authors of Fábio S. Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio S. Miranda. A scholar is included among the top collaborators of Fábio S. Miranda 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 Fábio S. Miranda. Fábio S. Miranda 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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