Sean Miller

3.4k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Sean Miller is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sean Miller has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Neurology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sean Miller's work include Alzheimer's disease research and treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Sean Miller is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Sean Miller collaborates with scholars based in United States, China and Netherlands. Sean Miller's co-authors include Se Hoon Choi, Rudolph E. Tanzi, Can Zhang, Enjana Bylykbashi, Eunhee Kim, Gregory D. Clemenson, Henriette van Praag, Doo Yeon Kim, Zena K. Chatila and Alexander Rompala and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sean Miller

23 papers receiving 1.2k citations

Hit Papers

Combined adult neurogenesis and BDNF mimic exercise effec... 2018 2026 2020 2023 2018 100 200 300 400 500
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. Combined adult neurogenesis and BDNF mimic exercise effects on cognition in an Alzheimer’s mouse model
    2018 595 citations Se Hoon Choi, Enjana Bylykbashi et al. Science profile →

Peers

Sean Miller
Enjana Bylykbashi United States
Christian Tackenberg Switzerland
Eunhee Kim United States
Annica Rönnbäck Sweden
Lakshmi Thirumangalakudi United States
Matthew Kirkcaldie Australia
Gideon M. Shaked United States
María Dolores López-Ávalos Spain
Susan E. Maloney United States
Feng Bian United States
Enjana Bylykbashi United States
Sean Miller
Citations per year, relative to Sean Miller Sean Miller (= 1×) peers Enjana Bylykbashi

Countries citing papers authored by Sean Miller

Since Specialization
Citations

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

Fields of papers citing papers by Sean Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Miller. A scholar is included among the top collaborators of Sean Miller 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 Sean Miller. Sean Miller 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.
Miller, Sean, Rahul M. Dhodapkar, Xue Yao, et al.. (2025). SARS-CoV-2 induces Alzheimer’s disease–related amyloid-β pathology in ex vivo human retinal explants and retinal organoids. Science Advances. 11(27). eads5006–eads5006. 1 indexed citations
2.
Miller, Sean, et al.. (2023). Senolytic and senomorphic secondary metabolites as therapeutic agents in Drosophila melanogaster models of Parkinson’s disease. Frontiers in Neurology. 14. 1271941–1271941. 4 indexed citations
3.
Logan, Robert, et al.. (2022). Novel Genetic Signatures Associated With Sporadic Amyotrophic Lateral Sclerosis. Frontiers in Genetics. 13. 851496–851496. 5 indexed citations
4.
Miller, Sean, et al.. (2022). Neuroglial Senescence, α-Synucleinopathy, and the Therapeutic Potential of Senolytics in Parkinson’s Disease. Frontiers in Neuroscience. 16. 824191–824191. 18 indexed citations
5.
Logan, Robert, et al.. (2021). Deep Convolutional Neural Networks With Ensemble Learning and Generative Adversarial Networks for Alzheimer’s Disease Image Data Classification. Frontiers in Aging Neuroscience. 13. 720226–720226. 40 indexed citations
6.
Logan, Robert, et al.. (2021). The Future of Artificial Intelligence for Alzheimer’s Disease Diagnostics. 10(4). 53–59. 4 indexed citations
7.
Miller, Sean, et al.. (2020). Massively Multilingual Pronunciation Modeling with WikiPron. Language Resources and Evaluation. 4223–4228. 14 indexed citations
8.
Liang, Yingxia, Frank Raven, Joseph Ward, et al.. (2020). Upregulation of Alzheimer’s Disease Amyloid-β Protein Precursor in Astrocytes Both in vitro and in vivo. Journal of Alzheimer s Disease. 76(3). 1071–1082. 21 indexed citations
9.
Choi, Se Hoon, Enjana Bylykbashi, Zena K. Chatila, et al.. (2018). Combined adult neurogenesis and BDNF mimic exercise effects on cognition in an Alzheimer’s mouse model. Science. 361(6406). 595 indexed citations breakdown →
10.
Miller, Sean. (2018). Astrocyte Heterogeneity in the Adult Central Nervous System. Frontiers in Cellular Neuroscience. 12. 401–401. 147 indexed citations
11.
Miller, Sean, et al.. (2018). Cortical astroglia undergo transcriptomic dysregulation in the G93A SOD1 ALS mouse model. Journal of Neurogenetics. 32(4). 322–335. 15 indexed citations
12.
Miller, Sean & Jeffrey D. Rothstein. (2017). 3D Printer Generated Tissue iMolds for Cleared Tissue Using Single- and Multi-Photon Microscopy for Deep Tissue Evaluation. Biological Procedures Online. 19(1). 7–7. 2 indexed citations
13.
Raven, Frank, Joseph Ward, Katarzyna Marta Zoltowska, et al.. (2017). Soluble Gamma-secretase Modulators Attenuate Alzheimer's β-amyloid Pathology and Induce Conformational Changes in Presenilin 1. EBioMedicine. 24. 93–101. 23 indexed citations
14.
Miller, Sean & Jeffrey D. Rothstein. (2016). Astroglia in Thick Tissue with Super Resolution and Cellular Reconstruction. PLoS ONE. 11(8). e0160391–e0160391. 18 indexed citations
15.
Uzer, Gunes, William R. Thompson, Buer Sen, et al.. (2015). Cell Mechanosensitivity to Extremely Low-Magnitude Signals Is Enabled by a LINCed Nucleus. Stem Cells. 33(6). 2063–2076. 113 indexed citations
16.
Lee, Randall, et al.. (2014). Cyclopamine Modulates γ-Secretase-mediated Cleavage of Amyloid Precursor Protein by Altering Its Subcellular Trafficking and Lysosomal Degradation. Journal of Biological Chemistry. 289(48). 33258–33274. 10 indexed citations
17.
Miller, Sean, et al.. (2013). Calcineurin overexpression regulates APP metabolism. 2(3). 109–116. 3 indexed citations
18.
Miller, Sean. (2011). The Work of Imagining Subatomic Particles in Early Quantum Mechanics. Configurations. 19(3). 357–383. 1 indexed citations
19.
Mhatre, Siddhita D., Brie Paddock, Sean Miller, et al.. (2011). Characterization of a Drosophila Alzheimer's Disease Model: Pharmacological Rescue of Cognitive Defects. PLoS ONE. 6(6). e20799–e20799. 100 indexed citations
20.
Cobb, Richard, et al.. (2009). F-16 Ventral Fin Buffet Alleviation Using Piezoelectric Actuators. 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 11 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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