David Bernal‐Casas
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
Papers in
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- Neuroscience and Neuropharmacology Research 3
-
- Neurological disorders and treatments 4
- Co-authors
- Andrew J. Weitz (2 shared papers)Hyun Joo Lee (2 shared papers)Peter Kirsch (2 shared papers)Martin Fungisai Gerchen (2 shared papers)Jin Hyung Lee (2 shared papers)Ben A. Duffy (2 shared papers)ManKin Choy (1 shared paper)Alexxai V. Kravitz (1 shared paper)
- Journals
- NeuroImage (2 papers)Neuron (2 papers)International Journal of Molecular Sciences (2 papers)Parkinsonism & Related Disorders (1 paper)Symmetry (1 paper)
- Partner nations
- SpainUnited StatesSaudi Arabia
In The Last Decade
David Bernal‐Casas
18 papers receiving 338 citations
Peers
Comparison fields: 5 of 66
- Transplantation 47
- Cognitive Neuroscience 159
- Cellular and Molecular Neuroscience 126
- Neurology 41
- Neurology 15
Countries citing papers authored by David Bernal‐Casas
This map shows the geographic impact of David Bernal‐Casas'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 David Bernal‐Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bernal‐Casas more than expected).
Fields of papers citing papers by David Bernal‐Casas
This network shows the impact of papers produced by David Bernal‐Casas. 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 David Bernal‐Casas. The network helps show where David Bernal‐Casas may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bernal‐Casas, 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 | 2016 | 97 | |
| 2 | 2018 | 58 | |
| 3 | 2014 | 45 | |
| 4 | 2017 | 44 | |
| 5 | 2020 | 29 | |
| 6 | 2013 | 18 | |
| 7 | 2016 | 16 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About David Bernal‐Casas
David Bernal‐Casas is a scholar working on Cellular and Molecular Neuroscience, Neurology, Statistical and Nonlinear Physics, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Neurological disorders and treatments (4 papers), Statistical Mechanics and Entropy (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Topological and Geometric Data Analysis (3 papers), Neural dynamics and brain function (3 papers), Functional Brain Connectivity Studies (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Transplantation (47 citations), Cognitive Neuroscience (159 citations), Cellular and Molecular Neuroscience (126 citations), Neurology (41 citations) and Neurology (15 citations). David Bernal‐Casas has collaborated with scholars based in Spain, United States and Saudi Arabia. Frequent co-authors include Andrew J. Weitz, Hyun Joo Lee, Peter Kirsch, Martin Fungisai Gerchen, Jin Hyung Lee, Ben A. Duffy, ManKin Choy, Alexxai V. Kravitz, Anatol C. Kreitzer and Jin Hyung Lee. Their work appears in journals such as NeuroImage, Neuron, International Journal of Molecular Sciences, Parkinsonism & Related Disorders and Symmetry.
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.