Fernando Moreira Simabuco
- Biochemistry top 5%
- Aging top 10%
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 7
- CRISPR and Genetic Engineering 5
- Metabolism, Diabetes, and Cancer 5
- Physiology top 10%
- Adipose Tissue and Metabolism 27
- Diet and metabolism studies 6
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- Exercise and Physiological Responses 13
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Respiratory viral infections research 6
- Co-authors
- Isadora Carolina Betim PavanAna Paula MorelliRodrigo Esaki TamuraLuiz Guilherme Salvino da SilvaRosângela Maria Neves BezerraMariana TavaresAugusto Ducati LuchessiLetícia Meneguello
- Journals
- Journal of Biological Chemistry (2 papers)PLoS ONE (5 papers)The Journal of Physiology (1 paper)
- Partner nations
- BrazilUnited StatesSouth Africa
In The Last Decade
Fernando Moreira Simabuco
89 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Biochemistry 101
- Aging 26
- Biological Psychiatry 35
- Molecular Biology 871
- Physiology 317
Countries citing papers authored by Fernando Moreira Simabuco
This map shows the geographic impact of Fernando Moreira Simabuco'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 Fernando Moreira Simabuco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Moreira Simabuco more than expected).
Fields of papers citing papers by Fernando Moreira Simabuco
This network shows the impact of papers produced by Fernando Moreira Simabuco. 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 Fernando Moreira Simabuco. The network helps show where Fernando Moreira Simabuco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Moreira Simabuco, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 113 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 47 | |
| 18 | 2020 | 23 | |
| 19 | 2018 | 5 | |
| 20 | 2016 | 40 |
About Fernando Moreira Simabuco
Fernando Moreira Simabuco is a scholar working on Rehabilitation, Biological Psychiatry and Physiology, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Exercise and Physiological Responses (13 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Diet and metabolism studies (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Respiratory viral infections research (6 papers), CRISPR and Genetic Engineering (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Biochemistry (101 citations), Aging (26 citations) and Biological Psychiatry (35 citations). Fernando Moreira Simabuco has collaborated with scholars based in Brazil, United States and South Africa. Frequent co-authors include Isadora Carolina Betim Pavan, Ana Paula Morelli, Rodrigo Esaki Tamura, Luiz Guilherme Salvino da Silva, Rosângela Maria Neves Bezerra, Mariana Tavares, Augusto Ducati Luchessi, Letícia Meneguello, José Rodrigo Pauli and Leandro Pereira de Moura. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physiology.
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.