Fernando Gonzàlez Ibáñez
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 22
- Barrier Structure and Function Studies 4
- Neurological Disease Mechanisms and Treatments 4
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 7
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol 4
- Developmental Neuroscience top 10%
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- Immune cells in cancer 6
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- Alzheimer's disease research and treatments 3
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- Neuroendocrine regulation and behavior 2
- Co-authors
- Marie‐Ève TremblayKatherine PicardJulie C. SavageMaude BordeleauKaushik SharmaKanchan BishtMicaël CarrierMarie‐Kim St‐Pierre
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Fernando Gonzàlez Ibáñez
21 papers receiving 483 citations
Peers
Comparison fields: 5 of 64
- Neurology 322
- Biological Psychiatry 96
- Behavioral Neuroscience 62
- Developmental Neuroscience 42
- Immunology 124
Countries citing papers authored by Fernando Gonzàlez Ibáñez
This map shows the geographic impact of Fernando Gonzàlez Ibáñez'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 Gonzàlez Ibáñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Gonzàlez Ibáñez more than expected).
Fields of papers citing papers by Fernando Gonzàlez Ibáñez
This network shows the impact of papers produced by Fernando Gonzàlez Ibáñez. 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 Gonzàlez Ibáñez. The network helps show where Fernando Gonzàlez Ibáñez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Gonzàlez Ibáñez, 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 | 2025 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 40 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 59 | |
| 18 | 2020 | 26 | |
| 19 | 2019 | 47 | |
| 20 | 2018 | 78 |
About Fernando Gonzàlez Ibáñez
Fernando Gonzàlez Ibáñez is a scholar working on Biological Psychiatry, Neurology and Behavioral Neuroscience, having authored 23 papers that have together received 483 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Tryptophan and brain disorders (7 papers), Immune cells in cancer (6 papers), Barrier Structure and Function Studies (4 papers), Stress Responses and Cortisol (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Alzheimer's disease research and treatments (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Neurology (322 citations), Biological Psychiatry (96 citations) and Behavioral Neuroscience (62 citations). Fernando Gonzàlez Ibáñez has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Marie‐Ève Tremblay, Katherine Picard, Julie C. Savage, Maude Bordeleau, Kaushik Sharma, Kanchan Bisht, Micaël Carrier, Marie‐Kim St‐Pierre, Nathalie Vernoux and Martin Parent. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Frontiers in Immunology.
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.