Fernando Pradella
Impact in
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Vitamin D Research Studies
Papers in
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- Multiple Sclerosis Research Studies 6
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- Circular RNAs in diseases 1
- Co-authors
- Alessandro S. Farias (15 shared papers)Leonilda Maria Barbosa dos Santos (10 shared papers)Ana Leda F. Longhini (6 shared papers)Adriel S. Moraes (6 shared papers)Elaine C. Oliveira (4 shared papers)Alexandre Leite Rodrigues de Oliveira (2 shared papers)Mauro Vaisberg (1 shared paper)Camila Ortolan Fernandes de Oliveira (1 shared paper)
- Journals
- CNS Neuroscience & Therapeutics (2 papers)PROTEOMICS (2 papers)Biochemical Engineering Journal (1 paper)Journal of Functional Foods (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Fernando Pradella
17 papers receiving 421 citations
Peers
Comparison fields: 5 of 77
- Immunology 158
- Pathology and Forensic Medicine 120
- Developmental Neuroscience 21
- Neurology 37
- Biological Psychiatry 10
Countries citing papers authored by Fernando Pradella
This map shows the geographic impact of Fernando Pradella'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 Pradella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Pradella more than expected).
Fields of papers citing papers by Fernando Pradella
This network shows the impact of papers produced by Fernando Pradella. 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 Pradella. The network helps show where Fernando Pradella may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Pradella, 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 | 2013 | 113 | |
| 2 | 2015 | 54 | |
| 3 | 2011 | 50 | |
| 4 | 2021 | 36 | |
| 5 | 2013 | 30 | |
| 6 | 2011 | 28 | |
| 7 | 2011 | 24 | |
| 8 | 2013 | 22 | |
| 9 | 2014 | 19 | |
| 10 | 2012 | 17 | |
| 11 | 2017 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2009 | 5 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Fernando Pradella
Fernando Pradella is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Immunology and Food Science, having authored 19 papers that have together received 426 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immunotherapy and Immune Responses (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Diabetes and associated disorders (1 paper), T-cell and B-cell Immunology (1 paper), Nanoparticles: synthesis and applications (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Immunology (158 citations), Pathology and Forensic Medicine (120 citations), Developmental Neuroscience (21 citations), Neurology (37 citations) and Biological Psychiatry (10 citations). Fernando Pradella has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Alessandro S. Farias, Leonilda Maria Barbosa dos Santos, Ana Leda F. Longhini, Adriel S. Moraes, Elaine C. Oliveira, Alexandre Leite Rodrigues de Oliveira, Mauro Vaisberg, Camila Ortolan Fernandes de Oliveira, Daniel Martins‐de‐Souza and Sara Teresinha Olalla Saad. Their work appears in journals such as CNS Neuroscience & Therapeutics, PROTEOMICS, Biochemical Engineering Journal, Journal of Functional Foods and Journal of Neuroinflammation.
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.