Felipe Corrêa‐da‐Silva
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- RNA modifications and cancer 2
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- Regulation of Appetite and Obesity 4
- Co-authors
- Pedro M. Moraes‐Vieira (8 shared papers)Jéssica Aparecida da Silva Pereira (4 shared papers)Chun‐Xia Yi (7 shared papers)Lı́cio A. Velloso (3 shared papers)Cristhiane Fávero de Aguiar (4 shared papers)Sandra Martha Gomes Dias (2 shared papers)Eric Fliers (4 shared papers)Sílvio Roberto Consonni (3 shared papers)
- Journals
- Journal of Neuroendocrinology (2 papers)International Journal of Molecular Sciences (2 papers)Nature Communications (1 paper)Journal of Neuroinflammation (1 paper)Immunobiology (1 paper)
- Partner nations
- BrazilNetherlandsUnited States
In The Last Decade
Felipe Corrêa‐da‐Silva
17 papers receiving 411 citations
Peers
Comparison fields: 5 of 76
- Endocrine and Autonomic Systems 88
- Biochemistry 37
- Biological Psychiatry 11
- Cancer Research 66
- Physiology 100
Countries citing papers authored by Felipe Corrêa‐da‐Silva
This map shows the geographic impact of Felipe Corrêa‐da‐Silva'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 Felipe Corrêa‐da‐Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Corrêa‐da‐Silva more than expected).
Fields of papers citing papers by Felipe Corrêa‐da‐Silva
This network shows the impact of papers produced by Felipe Corrêa‐da‐Silva. 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 Felipe Corrêa‐da‐Silva. The network helps show where Felipe Corrêa‐da‐Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Felipe Corrêa‐da‐Silva, 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 | 2017 | 68 | |
| 2 | 2019 | 68 | |
| 3 | 2017 | 49 | |
| 4 | 2018 | 37 | |
| 5 | 2021 | 25 | |
| 6 | 2023 | 24 | |
| 7 | 2020 | 21 | |
| 8 | 2024 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Felipe Corrêa‐da‐Silva
Felipe Corrêa‐da‐Silva is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Epidemiology, Neurology and Physiology, having authored 18 papers that have together received 412 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Regulation of Appetite and Obesity (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune cells in cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Genetic Syndromes and Imprinting (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (88 citations), Biochemistry (37 citations), Biological Psychiatry (11 citations), Cancer Research (66 citations) and Physiology (100 citations). Felipe Corrêa‐da‐Silva has collaborated with scholars based in Brazil, Netherlands and United States. Frequent co-authors include Pedro M. Moraes‐Vieira, Jéssica Aparecida da Silva Pereira, Chun‐Xia Yi, Lı́cio A. Velloso, Cristhiane Fávero de Aguiar, Sandra Martha Gomes Dias, Eric Fliers, Sílvio Roberto Consonni, Douglas Adamóski and Daniela S. Razolli. Their work appears in journals such as Journal of Neuroendocrinology, International Journal of Molecular Sciences, Nature Communications, Journal of Neuroinflammation and Immunobiology.
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.