Daniel del Toro

2.8k total citations · 1 hit paper
26 papers, 2.2k citations indexed

About

Daniel del Toro is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Daniel del Toro has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Daniel del Toro's work include Genetic Neurodegenerative Diseases (8 papers), Axon Guidance and Neuronal Signaling (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Daniel del Toro is often cited by papers focused on Genetic Neurodegenerative Diseases (8 papers), Axon Guidance and Neuronal Signaling (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Daniel del Toro collaborates with scholars based in Spain, Germany and United Kingdom. Daniel del Toro's co-authors include Joseph S. Meyer, Herbert E. Allen, Harold L. Bergman, Robert C. Santore, Rüdiger Klein, Jordi Alberch, Josep M. Canals, Xavier Xifró, Elena Seiradake and Gustavo Egea and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Daniel del Toro

25 papers receiving 2.1k citations

Hit Papers

Biotic ligand model of the acute toxicity of metals. 1. T... 2001 2026 2009 2017 2001 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel del Toro Spain 15 808 685 678 675 278 26 2.2k
Demetrio Raldúa Spain 40 2.1k 2.6× 1.3k 1.9× 717 1.1× 231 0.3× 489 1.8× 121 4.3k
Hiroki Teraoka Japan 28 1.4k 1.8× 549 0.8× 953 1.4× 346 0.5× 785 2.8× 113 3.7k
Oswaldo Keith Okamoto Brazil 31 599 0.7× 380 0.6× 1.7k 2.5× 207 0.3× 137 0.5× 92 3.9k
Scott M. Belcher United States 39 3.0k 3.7× 692 1.0× 1.2k 1.8× 416 0.6× 83 0.3× 87 5.4k
Mamta Behl United States 23 1.1k 1.4× 294 0.4× 434 0.6× 201 0.3× 183 0.7× 43 2.2k
Ni Yan United States 33 576 0.7× 135 0.2× 1.1k 1.6× 572 0.8× 143 0.5× 83 3.6k
Espen Mariussen Norway 29 1.6k 1.9× 538 0.8× 289 0.4× 357 0.5× 60 0.2× 72 2.6k
Edward M. Mager United States 29 1.2k 1.4× 559 0.8× 449 0.7× 149 0.2× 188 0.7× 66 3.0k
William Langston United States 23 614 0.8× 375 0.5× 910 1.3× 964 1.4× 160 0.6× 35 3.8k
Tetsuhiro Kudoh United Kingdom 24 560 0.7× 282 0.4× 1.6k 2.4× 114 0.2× 465 1.7× 54 2.7k

Countries citing papers authored by Daniel del Toro

Since Specialization
Citations

This map shows the geographic impact of Daniel del Toro'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 del Toro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel del Toro more than expected).

Fields of papers citing papers by Daniel del Toro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel del Toro. 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 del Toro. The network helps show where Daniel del Toro may publish in the future.

Co-authorship network of co-authors of Daniel del Toro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel del Toro. A scholar is included among the top collaborators of Daniel del Toro 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 del Toro. Daniel del Toro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Sathasivam, Kirupa, Ankita Singh, Daniel del Toro, et al.. (2024). m6A modification of mutant huntingtin RNA promotes the biogenesis of pathogenic huntingtin transcripts. EMBO Reports. 25(11). 5026–5052. 3 indexed citations
3.
García-García, Esther, Daniel del Toro, Geòrgia Escaramís, et al.. (2023). VPS13A knockdown impairs corticostriatal synaptic plasticity and locomotor behavior in a new mouse model of chorea-acanthocytosis. Neurobiology of Disease. 187. 106292–106292. 1 indexed citations
4.
5.
García-García, Esther, Albert Giralt, Daniel del Toro, et al.. (2021). Unraveling the Spatiotemporal Distribution of VPS13A in the Mouse Brain. International Journal of Molecular Sciences. 22(23). 13018–13018. 5 indexed citations
6.
Ruff, Tobias, Christian Peters, Akihiro Matsumoto, et al.. (2021). FLRT3 Marks Direction-Selective Retinal Ganglion Cells That Project to the Medial Terminal Nucleus. Frontiers in Molecular Neuroscience. 14. 790466–790466. 3 indexed citations
7.
Toro, Daniel del, et al.. (2021). FLRT2 and FLRT3 cooperate in maintaining the tangential migratory streams of cortical interneurons during development. Journal of Neuroscience. 41(35). JN–RM. 13 indexed citations
8.
Toro, Daniel del, et al.. (2020). FLRTing Neurons in Cortical Migration During Cerebral Cortex Development. Frontiers in Cell and Developmental Biology. 8. 578506–578506. 9 indexed citations
9.
Toro, Daniel del, et al.. (2017). Regulation of Cerebral Cortex Folding by Controlling Neuronal Migration via FLRT Adhesion Molecules. Cell. 169(4). 621–635.e16. 96 indexed citations
10.
Jackson, V.A., Shahid Mehmood, Matthieu Chavent, et al.. (2016). Super-complexes of adhesion GPCRs and neural guidance receptors. Nature Communications. 7(1). 11184–11184. 74 indexed citations
11.
Leyva‐Díaz, Eduardo, Daniel del Toro, Serafí Cambray, et al.. (2014). FLRT3 Is a Robo1-Interacting Protein that Determines Netrin-1 Attraction in Developing Axons. Current Biology. 24(5). 494–508. 66 indexed citations
12.
Seiradake, Elena, Daniel del Toro, Tobias Ruff, et al.. (2014). FLRT Structure: Balancing Repulsion and Cell Adhesion in Cortical and Vascular Development. Neuron. 84(2). 370–385. 85 indexed citations
13.
Seiradake, Elena, Andreas Schaupp, Daniel del Toro, et al.. (2013). Structurally encoded intraclass differences in EphA clusters drive distinct cell responses. Nature Structural & Molecular Biology. 20(8). 958–964. 74 indexed citations
14.
Brito, Verónica, Mar Puigdellívol, Albert Giralt, et al.. (2013). Imbalance of p75NTR/TrkB protein expression in Huntington’s disease: implication for neuroprotective therapies. Cell Death and Disease. 4(4). e595–e595. 70 indexed citations
15.
Yamagishi, Satoru, Katsuhiko Hata, Daniel del Toro, et al.. (2011). FLRT2 and FLRT3 act as repulsive guidance cues for Unc5‐positive neurons. The EMBO Journal. 30(14). 2920–2933. 111 indexed citations
16.
Toro, Daniel del, Xavier Xifró, Albert Pol, et al.. (2010). Altered cholesterol homeostasis contributes to enhanced excitotoxicity in Huntington’s disease. Journal of Neurochemistry. 115(1). 153–167. 72 indexed citations
17.
Toro, Daniel del, Jordi Alberch, Francisco Lázaro‐Diéguez, et al.. (2009). Mutant Huntingtin Impairs Post-Golgi Trafficking to Lysosomes by Delocalizing Optineurin/Rab8 Complex from the Golgi Apparatus. Molecular Biology of the Cell. 20(5). 1478–1492. 136 indexed citations
18.
Toro, Daniel del, Josep M. Canals, Sílvia Ginés, et al.. (2006). Mutant huntingtin Impairs the Post-Golgi Trafficking of Brain-Derived Neurotrophic Factor But Not Its Val66Met Polymorphism. Journal of Neuroscience. 26(49). 12748–12757. 72 indexed citations
19.
Toro, Daniel del, et al.. (2005). The Amyloid β-Protein Precursor and Alzheimers Disease. Therapeutic Approaches. 5(4). 271–283. 10 indexed citations
20.
Toro, Daniel del, et al.. (2001). Biotic ligand model of the acute toxicity of metals. 1. Technical Basis. Environmental Toxicology and Chemistry. 20(10). 2383–2396. 1037 indexed citations breakdown →

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.

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