Daniel Padró
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 5
- Glycosylation and Glycoproteins Research 3
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- Advanced MRI Techniques and Applications 7
- Co-authors
- Soledad Penadés (8 shared papers)Jordi Llop (18 shared papers)Mónica Carril (7 shared papers)Vanessa Gómez‐Vallejo (17 shared papers)Isabel Garcı́a (6 shared papers)Abraham Martín (15 shared papers)Núria Genicio (4 shared papers)Carolina Carrillo‐Carrión (3 shared papers)
- Journals
- Chemical Communications (4 papers)Journal of Cerebral Blood Flow & Metabolism (4 papers)Theranostics (3 papers)Chemistry - A European Journal (2 papers)Langmuir (2 papers)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
Daniel Padró
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Biomaterials 304
- Neurology 124
- Surfaces, Coatings and Films 80
- Developmental Neuroscience 35
- Radiology, Nuclear Medicine and Imaging 180
Countries citing papers authored by Daniel Padró
This map shows the geographic impact of Daniel Padró'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 Daniel Padró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Padró more than expected).
Fields of papers citing papers by Daniel Padró
This network shows the impact of papers produced by Daniel Padró. 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 Daniel Padró. The network helps show where Daniel Padró may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Padró, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2010 | 105 | |
| 3 | 2018 | 94 | |
| 4 | 2015 | 66 | |
| 5 | 2011 | 51 | |
| 6 | 2016 | 48 | |
| 7 | 2011 | 48 | |
| 8 | 2013 | 46 | |
| 9 | 2016 | 46 | |
| 10 | 2006 | 45 | |
| 11 | 2002 | 44 | |
| 12 | 2011 | 43 | |
| 13 | 2016 | 43 | |
| 14 | 2010 | 41 | |
| 15 | 2015 | 40 | |
| 16 | 2000 | 38 | |
| 17 | 2017 | 29 | |
| 18 | 2020 | 29 | |
| 19 | 2011 | 28 | |
| 20 | 2017 | 25 |
About Daniel Padró
Daniel Padró is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Biomaterials and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (10 papers), Advanced MRI Techniques and Applications (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Lanthanide and Transition Metal Complexes (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Advanced NMR Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Biomaterials (304 citations), Neurology (124 citations), Surfaces, Coatings and Films (80 citations), Developmental Neuroscience (35 citations) and Radiology, Nuclear Medicine and Imaging (180 citations). Daniel Padró has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Soledad Penadés, Jordi Llop, Mónica Carril, Vanessa Gómez‐Vallejo, Isabel Garcı́a, Abraham Martín, Núria Genicio, Carolina Carrillo‐Carrión, Blanca Arnáiz and Wolfgang J. Parak. Their work appears in journals such as Chemical Communications, Journal of Cerebral Blood Flow & Metabolism, Theranostics, Chemistry - A European Journal and Langmuir.
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.