Fernando C. Baltanás

954 total citations
33 papers, 655 citations indexed

About

Fernando C. Baltanás is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Fernando C. Baltanás has authored 33 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Sensory Systems. Recurrent topics in Fernando C. Baltanás's work include Olfactory and Sensory Function Studies (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Mitochondrial Function and Pathology (4 papers). Fernando C. Baltanás is often cited by papers focused on Olfactory and Sensory Function Studies (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Mitochondrial Function and Pathology (4 papers). Fernando C. Baltanás collaborates with scholars based in Spain, Chile and United States. Fernando C. Baltanás's co-authors include J.R. Alonso, Eugenio Santos, Eduardo Weruaga, Carmela Gómez, Miguel Lafarga, Marı́a T. Berciano, David Díaz, Rósula García‐Navas, Íñigo Casafont and José M. Rojas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Fernando C. Baltanás

31 papers receiving 640 citations

Peers

Fernando C. Baltanás
Jiankai Luo Germany
Mariyam Murtaza Australia
Hugh Nuthall United Kingdom
Naoki Nakaya United States
Olga Golonzhka United States
Amy K. Weaver United States
Fernando C. Baltanás
Citations per year, relative to Fernando C. Baltanás Fernando C. Baltanás (= 1×) peers Oualid Sbai

Countries citing papers authored by Fernando C. Baltanás

Since Specialization
Citations

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

Fields of papers citing papers by Fernando C. Baltanás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando C. Baltanás. 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 Fernando C. Baltanás. The network helps show where Fernando C. Baltanás may publish in the future.

Co-authorship network of co-authors of Fernando C. Baltanás

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando C. Baltanás. A scholar is included among the top collaborators of Fernando C. Baltanás 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 Fernando C. Baltanás. Fernando C. Baltanás 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
1.
Baltanás, Fernando C., Rósula García‐Navas, Enrico Patrucco, et al.. (2025). SOS1 inhibitor BI-3406 shows in vivo antitumor activity akin to genetic ablation and synergizes with a KRAS G12D inhibitor in KRAS LUAD. Proceedings of the National Academy of Sciences. 122(11). e2422943122–e2422943122. 1 indexed citations
2.
Lafarga, Miguel, et al.. (2025). Cajal’s organization of neuronal nucleus revisited. Frontiers in Neuroanatomy. 19. 1724830–1724830.
3.
Baltanás, Fernando C., et al.. (2023). Critical requirement of SOS1 for tumor development and microenvironment modulation in KRASG12D-driven lung adenocarcinoma. Nature Communications. 14(1). 5856–5856. 15 indexed citations
4.
Gómez, Carmela, Rósula García‐Navas, Fernando C. Baltanás, et al.. (2022). Critical Requirement of SOS1 for Development of BCR/ABL-Driven Chronic Myelogenous Leukemia. Cancers. 14(16). 3893–3893. 10 indexed citations
5.
García‐Navas, Rósula, Carmela Gómez, Fernando C. Baltanás, et al.. (2021). Critical requirement of SOS1 RAS-GEF function for mitochondrial dynamics, metabolism, and redox homeostasis. Oncogene. 40(27). 4538–4551. 16 indexed citations
6.
Castle, Michael J., Fernando C. Baltanás, Imre Kovács, et al.. (2020). Postmortem Analysis in a Clinical Trial of AAV2-NGF Gene Therapy for Alzheimer's Disease Identifies a Need for Improved Vector Delivery. Human Gene Therapy. 31(7-8). 415–422. 81 indexed citations
7.
Baltanás, Fernando C., Natasha Zarich, José M. Rojas, & Eugenio Santos. (2020). SOS GEFs in health and disease. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1874(2). 188445–188445. 60 indexed citations
8.
Baltanás, Fernando C., Marı́a T. Berciano, O. Tapia, et al.. (2019). Nucleolin reorganization and nucleolar stress in Purkinje cells of mutant PCD mice. Neurobiology of Disease. 127. 312–322. 10 indexed citations
9.
Frittoli, Emanuela, Andrea Palamidessi, Fernando C. Baltanás, et al.. (2017). Phosphorylation of SOS1 on tyrosine 1196 promotes its RAC GEF activity and contributes to BCR-ABL leukemogenesis. Leukemia. 32(3). 820–827. 27 indexed citations
10.
García‐Navas, Rósula, Martín Pérez‐Andrés, Concepción Lillo, et al.. (2016). Sos1 disruption impairs cellular proliferation and viability through an increase in mitochondrial oxidative stress in primary MEFs. Oncogene. 35(50). 6389–6402. 32 indexed citations
11.
Baltanás, Fernando C., Jorge Valero, J.R. Alonso, Marı́a T. Berciano, & Miguel Lafarga. (2014). Nuclear Signs of Pre-neurodegeneration. Methods in molecular biology. 1254. 43–54. 2 indexed citations
12.
Baltanás, Fernando C., Marı́a T. Berciano, Jorge Valero, et al.. (2012). Differential glial activation during the degeneration of Purkinje cells and mitral cells in the PCD mutant mice. Glia. 61(2). 254–272. 22 indexed citations
13.
Baltanás, Fernando C., Íñigo Casafont, Vanesa Lafarga, et al.. (2011). Purkinje Cell Degeneration in pcd Mice Reveals Large Scale Chromatin Reorganization and Gene Silencing Linked to Defective DNA Repair. Journal of Biological Chemistry. 286(32). 28287–28302. 45 indexed citations
14.
Díaz, David, et al.. (2010). Long-lasting changes in the anatomy of the olfactory bulb after ionizing irradiation and bone marrow transplantation. Neuroscience. 173. 190–205. 27 indexed citations
15.
Baltanás, Fernando C., Carmela Gómez, David Díaz, et al.. (2010). Types of cholecystokinin‐containing periglomerular cells in the mouse olfactory bulb. Journal of Neuroscience Research. 89(1). 35–43. 8 indexed citations
16.
Baltanás, Fernando C., Íñigo Casafont, Eduardo Weruaga, et al.. (2010). Nucleolar Disruption and Cajal Body Disassembly are Nuclear Hallmarks of DNA Damage‐Induced Neurodegeneration in Purkinje Cells. Brain Pathology. 21(4). 374–388. 60 indexed citations
17.
Díaz, David, et al.. (2009). Sexual dimorphic stages affect both proliferation and serotonergic innervation in the adult rostral migratory stream. Experimental Neurology. 216(2). 357–364. 21 indexed citations
18.
Baltanás, Fernando C., et al.. (2008). Albumin attenuates DNA damage in primary-cultured neurons. Neuroscience Letters. 450(1). 23–26. 21 indexed citations
19.
Baltanás, Fernando C., et al.. (2007). Chemical heterogeneity of the periglomerular neurons in the olfactory bulb: A review. European Journal of Anatomy. 11(2). 123–147. 9 indexed citations
20.
Porteros, A., Carmela Gómez, Jorge Valero, Fernando C. Baltanás, & J.R. Alonso. (2007). Chemical organization of the macaque monkey olfactory bulb: III. Distribution of cholinergic markers. The Journal of Comparative Neurology. 501(6). 854–865. 9 indexed citations

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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