Gilbert Gallardo

3.3k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Gilbert Gallardo is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Gilbert Gallardo has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Gilbert Gallardo's work include Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Gilbert Gallardo is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Gilbert Gallardo collaborates with scholars based in United States, Germany and Canada. Gilbert Gallardo's co-authors include Thomas C. Südhof, Oliver M. Schlüter, Sreeganga S. Chandra, Rafael Fernández‐Chacón, David M. Holtzman, Azad Bonni, Yoshiho Ikeuchi, J. Wade Harper, Hong Jiang and Brenda O’Connell and has published in prestigious journals such as Cell, Neuron and The Journal of Experimental Medicine.

In The Last Decade

Gilbert Gallardo

16 papers receiving 1.4k citations

Hit Papers

α-Synuclein Cooperates with CSPα in Preventing Neurodegen... 2005 2026 2012 2019 2005 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. α-Synuclein Cooperates with CSPα in Preventing Neurodegeneration
    2005 771 citations Sreeganga S. Chandra, Gilbert Gallardo et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilbert Gallardo United States 11 682 568 506 473 251 16 1.4k
Isabella Russo Italy 22 692 1.0× 514 0.9× 583 1.2× 438 0.9× 509 2.0× 39 1.5k
Brigitte Nuscher Germany 15 734 1.1× 563 1.0× 714 1.4× 354 0.7× 291 1.2× 22 1.5k
Kathleen M. Schoch United States 16 432 0.6× 462 0.8× 666 1.3× 347 0.7× 310 1.2× 24 1.5k
Elize D. Haasdijk Netherlands 22 994 1.5× 421 0.7× 910 1.8× 405 0.9× 340 1.4× 28 2.1k
Qiying Sun China 22 912 1.3× 386 0.7× 520 1.0× 384 0.8× 261 1.0× 115 1.6k
Sandra Minotti Canada 20 865 1.3× 258 0.5× 839 1.7× 338 0.7× 272 1.1× 29 1.6k
Róbert Adalbert United Kingdom 22 340 0.5× 440 0.8× 735 1.5× 811 1.7× 326 1.3× 32 1.8k
Simon Moussaud United States 13 784 1.1× 628 1.1× 375 0.7× 385 0.8× 340 1.4× 17 1.4k
Owen M. Peters United Kingdom 21 685 1.0× 305 0.5× 466 0.9× 342 0.7× 164 0.7× 28 1.2k
Chee Yeun Chung United States 15 678 1.0× 282 0.5× 632 1.2× 656 1.4× 181 0.7× 20 1.4k

Countries citing papers authored by Gilbert Gallardo

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Gallardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilbert Gallardo. 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 Gilbert Gallardo. The network helps show where Gilbert Gallardo may publish in the future.

Co-authorship network of co-authors of Gilbert Gallardo

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

All Works

16 of 16 papers shown
1.
Karch, Celeste M., et al.. (2022). Astrocytic α2-Na + /K + ATPase inhibition suppresses astrocyte reactivity and reduces neurodegeneration in a tauopathy mouse model. Science Translational Medicine. 14(632). eabm4107–eabm4107. 47 indexed citations
2.
Gallardo, Gilbert. (2020). Unfolding the mystery of UPR in astrocytes. Science Translational Medicine. 12(528). 1 indexed citations
3.
Gallardo, Gilbert, Connie Wong, Kent Lin, et al.. (2019). Targeting tauopathy with engineered tau-degrading intrabodies. Molecular Neurodegeneration. 14(1). 38–38. 40 indexed citations
4.
Gallardo, Gilbert & David M. Holtzman. (2019). Amyloid-β and Tau at the Crossroads of Alzheimer’s Disease. Advances in experimental medicine and biology. 1184. 187–203. 135 indexed citations
5.
Gallardo, Gilbert. (2019). Mitochondria fragments fuel the fire of neuroinflammation. Science Translational Medicine. 11(512). 2 indexed citations
6.
Gallardo, Gilbert. (2019). Microglia seeding the brain for α-synuclein pathology. Science Translational Medicine. 11(496). 1 indexed citations
7.
Gallardo, Gilbert. (2019). Secreted frizzled-related protein 1 frazzles the brain in Alzheimer’s disease. Science Translational Medicine. 11(504). 1 indexed citations
8.
Gallardo, Gilbert. (2019). Neurogenesis takes a hit in Alzheimer’s disease. Science Translational Medicine. 11(490). 5 indexed citations
9.
Ising, Christina, Gilbert Gallardo, Cheryl E. G. Leyns, et al.. (2017). AAV-mediated expression of anti-tau scFvs decreases tau accumulation in a mouse model of tauopathy. The Journal of Experimental Medicine. 214(5). 1227–1238. 42 indexed citations
10.
Gallardo, Gilbert & David M. Holtzman. (2017). Antibody Therapeutics Targeting Aβ and Tau. Cold Spring Harbor Perspectives in Medicine. 7(10). a024331–a024331. 34 indexed citations
11.
Liu, Yun, Hongqiao Li, Yoshie Sugiura, et al.. (2015). Ubiquitin–Synaptobrevin Fusion Protein Causes Degeneration of Presynaptic Motor Terminals in Mice. Journal of Neuroscience. 35(33). 11514–11531. 17 indexed citations
12.
Gallardo, Gilbert, John Ravits, Teepu Siddique, et al.. (2014). An α2-Na/K ATPase/α-adducin complex in astrocytes triggers non–cell autonomous neurodegeneration. Nature Neuroscience. 17(12). 1710–1719. 45 indexed citations
13.
Mejia, Luis A., Ju Huang, Pamela Valnegri, et al.. (2013). The X-Linked Intellectual Disability Protein PHF6 Associates with the PAF1 Complex and Regulates Neuronal Migration in the Mammalian Brain. Neuron. 78(6). 986–993. 78 indexed citations
14.
Litterman, Nadia K., Yoshiho Ikeuchi, Gilbert Gallardo, et al.. (2011). An OBSL1-Cul7Fbxw8 Ubiquitin Ligase Signaling Mechanism Regulates Golgi Morphology and Dendrite Patterning. PLoS Biology. 9(5). e1001060–e1001060. 75 indexed citations
15.
Gallardo, Gilbert, Oliver M. Schlüter, & Thomas C. Südhof. (2008). A molecular pathway of neurodegeneration linking α-synuclein to ApoE and Aβ peptides. Nature Neuroscience. 11(3). 301–308. 127 indexed citations
16.
Chandra, Sreeganga S., Gilbert Gallardo, Rafael Fernández‐Chacón, Oliver M. Schlüter, & Thomas C. Südhof. (2005). α-Synuclein Cooperates with CSPα in Preventing Neurodegeneration. Cell. 123(3). 383–396. 771 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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