Flávia C. Leonardo
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 17
- Insect and Arachnid Ecology and Behavior 6
- Hematology top 10%
- Iron Metabolism and Disorders 8
- Blood groups and transfusion 4
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- Erythrocyte Function and Pathophysiology 8
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- Heme Oxygenase-1 and Carbon Monoxide 5
- Epigenetics and DNA Methylation 3
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- Plant and animal studies 4
- Co-authors
- Fernando Ferreira CostaNicola ConranCamila Bononi AlmeidaGonçalo Amarante Guimarães PereiraAna Maria Costa–LeonardoMarcelo Falsarella CarazzolleFábio M. SquinaFábio Trindade Maranhão Costa
- Cited by
- GeneticsHematologyBiotechnology
- Journals
- Blood (8 papers)PLoS ONE (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- BrazilUnited StatesSwitzerland
In The Last Decade
Flávia C. Leonardo
26 papers receiving 324 citations
Peers
Comparison fields: 5 of 70
- Genetics 147
- Hematology 107
- Biotechnology 37
- Insect Science 42
- Physiology 61
Countries citing papers authored by Flávia C. Leonardo
This map shows the geographic impact of Flávia C. Leonardo'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 Flávia C. Leonardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávia C. Leonardo more than expected).
Fields of papers citing papers by Flávia C. Leonardo
This network shows the impact of papers produced by Flávia C. Leonardo. 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 Flávia C. Leonardo. The network helps show where Flávia C. Leonardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Flávia C. Leonardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 27 | |
| 12 | 2016 | 25 | |
| 13 | 2016 | 23 | |
| 14 | 2015 | 33 | |
| 15 | 2014 | 8 | |
| 16 | 2013 | 24 | |
| 17 | 2012 | 3 | |
| 18 | Functional characterization and target discovery of glycoside hydrolases from lower termite Coptotermes gestroi digestome. | 2011 | 3 |
| 19 | 2010 | 10 | |
| 20 | 2000 | 8 |
About Flávia C. Leonardo
Flávia C. Leonardo is a scholar working on Genetics, Hematology and Physiology, having authored 28 papers that have together received 331 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (17 papers), Erythrocyte Function and Pathophysiology (8 papers), Iron Metabolism and Disorders (8 papers), Insect and Arachnid Ecology and Behavior (6 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Plant and animal studies (4 papers), Blood groups and transfusion (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (147 citations), Hematology (107 citations) and Biotechnology (37 citations). Flávia C. Leonardo has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include Fernando Ferreira Costa, Nicola Conran, Camila Bononi Almeida, Gonçalo Amarante Guimarães Pereira, Ana Maria Costa–Leonardo, Marcelo Falsarella Carazzolle, Fábio M. Squina, Fábio Trindade Maranhão Costa, Cláudio C. Werneck and Lucas Eduardo Botelho de Souza. Their work appears in journals such as Blood, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.
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.