Javier Sáez‐Valero
- Physiology top 2%
- Molecular Biology top 10%
- Pharmacology top 1%
- Cellular and Molecular Neuroscience top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- María‐Salud García‐AyllónDavid H. SmallInmaculada Cuchillo‐IbáñezGian SbernaCecilio J. VidalCatriona McLeanKaj BlennowMaría Ximena Silveyra
- Topics
- Alzheimer's disease research and treatments (61 papers)Cholinesterase and Neurodegenerative Diseases (43 papers)Computational Drug Discovery Methods (24 papers)
In The Last Decade
Javier Sáez‐Valero
92 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 105
- Physiology 1.3k
- Molecular Biology 1.0k
- Pharmacology 898
- Cellular and Molecular Neuroscience 481
- Computational Theory and Mathematics 425
Countries citing papers authored by Javier Sáez‐Valero
This map shows the geographic impact of Javier Sáez‐Valero'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 Sáez‐Valero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Sáez‐Valero more than expected).
Fields of papers citing papers by Javier Sáez‐Valero
This network shows the impact of papers produced by Javier Sáez‐Valero. 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 Sáez‐Valero. The network helps show where Javier Sáez‐Valero may publish in the future.
Co-authorship network of co-authors of Javier Sáez‐Valero
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Sáez‐Valero. A scholar is included among the top collaborators of Javier Sáez‐Valero 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 Javier Sáez‐Valero. Javier Sáez‐Valero 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 | 3 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 37 | |
| 12 | 26 | |
| 13 | 4 | |
| 14 | 38 | |
| 15 | 10 | |
| 16 | 21 | |
| 17 | 21 | |
| 18 | 50 | |
| 19 | 10 | |
| 20 | 108 |
About Javier Sáez‐Valero
Javier Sáez‐Valero is a scholar working on Developmental Neuroscience, Pharmacology and Physiology, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (61 papers), Cholinesterase and Neurodegenerative Diseases (43 papers) and Computational Drug Discovery Methods (24 papers). The work is most often cited by research in Developmental Neuroscience (289 citations), Pharmacology (898 citations) and Physiology (1.3k citations). Javier Sáez‐Valero has collaborated with scholars based in Spain, Sweden and Australia. Frequent co-authors include María‐Salud García‐Ayllón, David H. Small, Inmaculada Cuchillo‐Ibáñez, Gian Sberna, Cecilio J. Vidal, Catriona McLean, Kaj Blennow, María Ximena Silveyra, Eduardo Soriano and Arancha Botella-López. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.
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.