Daniel González‐Nieto
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Biomaterials top 5%
- Physiology
- Biomedical Engineering
- Co-authors
- Luis C. BarrioJuan M. Gómez‐HernándezJosé Pérez‐RigueiroGustavo V. GuineaFivos PanetsosMarta de MiguelLaura Fernández-GarcíaMilagros Ramos
- Topics
- Connexins and lens biology (14 papers)Silk-based biomaterials and applications (13 papers)Nerve injury and regeneration (11 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Daniel González‐Nieto
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 816
- Cellular and Molecular Neuroscience 294
- Biomaterials 247
- Physiology 136
- Biomedical Engineering 128
Countries citing papers authored by Daniel González‐Nieto
This map shows the geographic impact of Daniel González‐Nieto'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 González‐Nieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel González‐Nieto more than expected).
Fields of papers citing papers by Daniel González‐Nieto
This network shows the impact of papers produced by Daniel González‐Nieto. 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 González‐Nieto. The network helps show where Daniel González‐Nieto may publish in the future.
Co-authorship network of co-authors of Daniel González‐Nieto
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel González‐Nieto. A scholar is included among the top collaborators of Daniel González‐Nieto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel González‐Nieto. Daniel González‐Nieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 49 | |
| 13 | 7 | |
| 14 | 40 | |
| 15 | 32 | |
| 16 | 30 | |
| 17 | 43 | |
| 18 | 98 | |
| 19 | 47 | |
| 20 | 144 |
About Daniel González‐Nieto
Daniel González‐Nieto is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Neurology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Connexins and lens biology (14 papers), Silk-based biomaterials and applications (13 papers) and Nerve injury and regeneration (11 papers). The work is most often cited by research in Biomaterials (247 citations), Cellular and Molecular Neuroscience (294 citations) and Sensory Systems (74 citations). Daniel González‐Nieto has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Luis C. Barrio, Juan M. Gómez‐Hernández, José Pérez‐Rigueiro, Gustavo V. Guinea, Fivos Panetsos, Marta de Miguel, Laura Fernández-García, Milagros Ramos, M. Elices and José A. Cancelas. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.