Nicholas A. Castello

2.5k total citations · 1 hit paper
15 papers, 1.9k citations indexed

About

Nicholas A. Castello is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Nicholas A. Castello has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Nicholas A. Castello's work include Alzheimer's disease research and treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Nicholas A. Castello is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Nicholas A. Castello collaborates with scholars based in United States, Germany and Canada. Nicholas A. Castello's co-authors include Frank M. LaFerla, Kim N. Green, Nicole C. Berchtold, Carl W. Cotman, Jeanne F. Loring, Mathew Blurton‐Jones, Frank Müller, Masashi Kitazawa, Wayne W. Poon and Tritia R. Yamasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Nicholas A. Castello

15 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Neural stem cells improve cognition via BDNF in a transgenic model of Alzheimer disease

2009 678 citations Mathew Blurton‐Jones, Masashi Kitazawa et al. Proceedings of the National Academy of Sciences profile →

Peers

Nicholas A. Castello

CMN

PHYSI

NEURO

Julia W. Chang United States

Star W. Lee United States

Noemí Pallas‐Bazarra Spain

Julia Terreros‐Roncal Spain

Thomas Debeir France

José Rodrı́guez-Álvarez Spain

Elena P. Moreno‐Jiménez Spain

Miguel Flor‐García Spain

Naoko Kuzumaki Japan

François S. Roman France

Julia W. Chang United States

Nicholas A. Castello

516 ×0.8

CMN

573 ×0.8

309 ×0.5

PHYSI

616 ×1.2

431 ×1.2

NEURO

Citations per year, relative to Nicholas A. Castello Nicholas A. Castello (= 1×) peers Julia W. Chang

Countries citing papers authored by Nicholas A. Castello

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas A. Castello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas A. Castello. 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 Nicholas A. Castello. The network helps show where Nicholas A. Castello may publish in the future.

Co-authorship network of co-authors of Nicholas A. Castello

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

All Works

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15 of 15 papers shown

Linsley, Jeremy W., Kevan Shah, Nicholas A. Castello, et al.. (2021). Genetically encoded cell-death indicators (GEDI) to detect an early irreversible commitment to neurodegeneration. Nature Communications. 12(1). 5284–5284. 17 indexed citations

Linsley, Jeremy W., Drew Linsley, Kevan Shah, et al.. (2021). Superhuman cell death detection with biomarker-optimized neural networks. Science Advances. 7(50). eabf8142–eabf8142. 12 indexed citations

Fang, Mark Y., Sebastian Markmiller, Anthony Q. Vu, et al.. (2019). Small-Molecule Modulation of TDP-43 Recruitment to Stress Granules Prevents Persistent TDP-43 Accumulation in ALS/FTD. Neuron. 103(5). 802–819.e11. 198 indexed citations

Czirr, Eva, Nicholas A. Castello, Kira I. Mosher, et al.. (2017). Microglial complement receptor 3 regulates brain Aβ levels through secreted proteolytic activity. The Journal of Experimental Medicine. 214(4). 1081–1092. 101 indexed citations

Myczek, Kristoffer, Stephen T. Yeung, Nicholas A. Castello, David Baglietto‐Vargas, & Frank M. LaFerla. (2014). Hippocampal Adaptive Response Following Extensive Neuronal Loss in an Inducible Transgenic Mouse Model. PLoS ONE. 9(9). e106009–e106009. 7 indexed citations

Castello, Nicholas A., et al.. (2014). 7,8-Dihydroxyflavone, a Small Molecule TrkB Agonist, Improves Spatial Memory and Increases Thin Spine Density in a Mouse Model of Alzheimer Disease-Like Neuronal Loss. PLoS ONE. 9(3). e91453–e91453. 92 indexed citations

Chabrier, Meredith A., David Cheng, Nicholas A. Castello, Kim N. Green, & Frank M. LaFerla. (2014). Synergistic effects of amyloid-beta and wild-type human tau on dendritic spine loss in a floxed double transgenic model of Alzheimer's disease. Neurobiology of Disease. 64. 107–117. 79 indexed citations

Blurton‐Jones, Mathew, Brian Spencer, Sara Michael, et al.. (2014). Neural stem cells genetically-modified to express neprilysin reduce pathology in Alzheimer transgenic models. Stem Cell Research & Therapy. 5(2). 46–46. 96 indexed citations

Lin, Alexander J., Gangjun Liu, Nicholas A. Castello, et al.. (2014). Optical imaging in an Alzheimer’s mouse model reveals amyloid-β-dependent vascular impairment. Neurophotonics. 1(1). 11005–11005. 33 indexed citations

10.

Medeiros, Rodrigo, Nicholas A. Castello, David Cheng, et al.. (2013). α7 Nicotinic Receptor Agonist Enhances Cognition in Aged 3xTg-AD Mice with Robust Plaques and Tangles. American Journal Of Pathology. 184(2). 520–529. 71 indexed citations

11.

Lin, Alexander J., Nicholas A. Castello, Grace Lee, et al.. (2013). In vivo optical signatures of neuronal death in a mouse model of Alzheimer's disease. Lasers in Surgery and Medicine. 46(1). 27–33. 18 indexed citations

12.

Castello, Nicholas A., Kim N. Green, & Frank M. LaFerla. (2012). Genetic Knockdown of Brain-Derived Neurotrophic Factor in 3xTg-AD Mice Does Not Alter Aβ or Tau Pathology. PLoS ONE. 7(8). e39566–e39566. 35 indexed citations

13.

Berchtold, Nicole C., Nicholas A. Castello, & Carl W. Cotman. (2010). Exercise and time-dependent benefits to learning and memory. Neuroscience. 167(3). 588–597. 303 indexed citations

14.

Blurton‐Jones, Mathew, Masashi Kitazawa, Hilda Martínez‐Coria, et al.. (2009). Neural stem cells improve cognition via BDNF in a transgenic model of Alzheimer disease. Proceedings of the National Academy of Sciences. 106(32). 13594–13599. 678 indexed citations breakdown →

15.

Roozendaal, Benno, Nicholas A. Castello, Gustavo Vedana, Areg Barsegyan, & James L. McGaugh. (2008). Noradrenergic activation of the basolateral amygdala modulates consolidation of object recognition memory. Neurobiology of Learning and Memory. 90(3). 576–579. 164 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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