Javier Selva
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 10%
- Advanced Drug Delivery Systems
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Protein Kinase Regulation and GTPase Signaling 2
- Chemical Synthesis and Analysis 2
- Advanced biosensing and bioanalysis techniques 1
- Oncology 3
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Gustavo Egea (8 shared papers)Meritxell Teixidò (3 shared papers)Roger Prades (3 shared papers)Ernest Giralt (3 shared papers)Marcelo J. Kogan (1 shared paper)Eyleen Araya (1 shared paper)Simón Guerrero (1 shared paper)Edison Salas‐Huenuleo (1 shared paper)
In The Last Decade
Javier Selva
10 papers receiving 477 citations
Peers
Comparison fields: 5 of 94
- Biomaterials 127
- Pharmaceutical Science 33
- Neurology 42
- Microbiology 19
- Developmental Neuroscience 12
Countries citing papers authored by Javier Selva
This map shows the geographic impact of Javier Selva'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 Javier Selva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Selva more than expected).
Fields of papers citing papers by Javier Selva
This network shows the impact of papers produced by Javier Selva. 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 Javier Selva. The network helps show where Javier Selva may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Selva, 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 | 2012 | 216 | |
| 2 | 2015 | 105 | |
| 3 | 2023 | 74 | |
| 4 | 2010 | 31 | |
| 5 | 2007 | 21 | |
| 6 | 2011 | 12 | |
| 7 | 2014 | 8 | |
| 8 | 2015 | 8 | |
| 9 | 1983 | 3 | |
| 10 | 2015 | 3 | |
| 11 | ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions:Dataset, Design, and Results | 2021 | 0 |
About Javier Selva
Javier Selva is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Electronic, Optical and Magnetic Materials and Virology, having authored 11 papers that have together received 481 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Chemical Synthesis and Analysis (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Biomaterials (127 citations), Pharmaceutical Science (33 citations), Neurology (42 citations), Microbiology (19 citations) and Developmental Neuroscience (12 citations). Javier Selva has collaborated with scholars based in Spain, Germany and Ireland. Frequent co-authors include Gustavo Egea, Meritxell Teixidò, Roger Prades, Ernest Giralt, Marcelo J. Kogan, Eyleen Araya, Simón Guerrero, Edison Salas‐Huenuleo, Esther Zurita and C Molina. Their work appears in journals such as Journal of Neurochemistry, Biomaterials, Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biomedical Optics Express.
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.