Nicholas T. Seyfried

2.1k total citations · 1 hit paper
14 papers, 854 citations indexed

About

Nicholas T. Seyfried is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nicholas T. Seyfried has authored 14 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nicholas T. Seyfried's work include Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Nicholas T. Seyfried is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Nicholas T. Seyfried collaborates with scholars based in United States, Switzerland and Germany. Nicholas T. Seyfried's co-authors include Duc M. Duong, Allan I. Levey, James J. Lah, Marla Gearing, Michael DeTure, Yari Carlomagno, Anthony W. P. Fitzpatrick, Tamta Arakhamia, Dennis W. Dickson and Judith A. Steen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nicholas T. Seyfried

13 papers receiving 849 citations

Hit Papers

Posttranslational Modifications Mediate the Structural Di... 2020 2026 2022 2024 2020 50 100 150 200 250
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. Posttranslational Modifications Mediate the Structural Diversity of Tauopathy Strains
    2020 293 citations Tamta Arakhamia, Yari Carlomagno 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
Nicholas T. Seyfried United States 9 523 474 133 126 87 14 854
Cheng-Xin Gong United States 6 819 1.6× 474 1.0× 125 0.9× 100 0.8× 103 1.2× 8 1.1k
Norelle C. Wildburger United States 14 406 0.8× 301 0.6× 139 1.0× 62 0.5× 58 0.7× 18 675
Eun Sun Jung South Korea 17 543 1.0× 413 0.9× 193 1.5× 158 1.3× 89 1.0× 27 1.0k
Steven J. Banner United Kingdom 15 543 1.0× 359 0.8× 243 1.8× 151 1.2× 128 1.5× 16 1.0k
Leticia Miravalle United States 15 663 1.3× 675 1.4× 158 1.2× 246 2.0× 65 0.7× 20 1.2k
Timo Sarajärvi Finland 14 321 0.6× 324 0.7× 198 1.5× 162 1.3× 38 0.4× 21 680
Anna Paterlini Italy 17 304 0.6× 441 0.9× 94 0.7× 123 1.0× 32 0.4× 25 784
Jose A. Gonzalez United States 8 371 0.7× 732 1.5× 191 1.4× 182 1.4× 40 0.5× 12 1.1k
Sarah N. Fontaine United States 15 596 1.1× 375 0.8× 150 1.1× 126 1.0× 195 2.2× 21 956
Suzanne J. Randle United Kingdom 14 639 1.2× 470 1.0× 162 1.2× 127 1.0× 92 1.1× 20 1.1k

Countries citing papers authored by Nicholas T. Seyfried

Since Specialization
Citations

This map shows the geographic impact of Nicholas T. Seyfried'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 T. Seyfried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas T. Seyfried more than expected).

Fields of papers citing papers by Nicholas T. Seyfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas T. Seyfried

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

All Works

14 of 14 papers shown
1.
Carter, Kathleen, Lingyan Ping, Duc M. Duong, et al.. (2025). Proteomic subtyping of Alzheimer's disease CSF links blood–brain barrier dysfunction to reduced levels of tau and synaptic biomarkers. Alzheimer s & Dementia. 21(11). e70830–e70830.
2.
Li, Yingjie, et al.. (2025). ALS plasma biomarkers reveal neurofilament and pTau correlate with disease onset and progression. PubMed Central. 12(4). 714–723. 6 indexed citations
3.
Greathouse, Kelsey M., et al.. (2024). Dendritic spine head diameter predicts episodic memory performance in older adults. Science Advances. 10(32). eadn5181–eadn5181. 2 indexed citations
4.
Oveisgharan, Shahram, Lei Yu, Kátia de Paiva Lopes, et al.. (2024). Proteins linking APOE ɛ4 with Alzheimer's disease. Alzheimer s & Dementia. 20(7). 4499–4511. 8 indexed citations
5.
Dammer, Eric B., et al.. (2024). Proteomic networks of gray and white matter reveal tissue‐specific changes in human tauopathy. Annals of Clinical and Translational Neurology. 11(8). 2138–2152. 4 indexed citations
6.
Shantaraman, Anantharaman, Eric B. Dammer, Duc M. Duong, et al.. (2024). Network proteomics of the Lewy body dementia brain reveals presynaptic signatures distinct from Alzheimer’s disease. Molecular Neurodegeneration. 19(1). 60–60. 8 indexed citations
7.
Trumpff, Caroline, Anna S. Monzel, Carmen Sandi, et al.. (2024). Psychosocial experiences are associated with human brain mitochondrial biology. Proceedings of the National Academy of Sciences. 121(27). e2317673121–e2317673121. 17 indexed citations
8.
Haque, Rafi U., Caroline M Watson, Jiaqi Liu, et al.. (2023). A protein panel in cerebrospinal fluid for diagnostic and predictive assessment of Alzheimer’s disease. Science Translational Medicine. 15(712). eadg4122–eadg4122. 26 indexed citations
9.
Higginbotham, Lenora, Lingyan Ping, Eric B. Dammer, et al.. (2020). Integrated proteomics reveals brain-based cerebrospinal fluid biomarkers in asymptomatic and symptomatic Alzheimer’s disease. Science Advances. 6(43). 194 indexed citations
10.
Arakhamia, Tamta, Yari Carlomagno, Mukesh Kumar, et al.. (2020). Posttranslational Modifications Mediate the Structural Diversity of Tauopathy Strains. Cell. 180(4). 633–644.e12. 293 indexed citations breakdown →
11.
Ivanova, Anna, Tamara Caspary, Nicholas T. Seyfried, et al.. (2017). Biochemical characterization of purified mammalian ARL13B protein indicates that it is an atypical GTPase and ARL3 guanine nucleotide exchange factor (GEF). Journal of Biological Chemistry. 292(26). 11091–11108. 38 indexed citations
12.
Yang, Qian, Wenming Li, Hua She, et al.. (2015). Stress Induces p38 MAPK-Mediated Phosphorylation and Inhibition of Drosha-Dependent Cell Survival. Molecular Cell. 57(4). 721–734. 63 indexed citations
13.
Herskowitz, Jeremy H., Yangbo Feng, Alexa L. Mattheyses, et al.. (2013). Pharmacologic Inhibition of ROCK2 Suppresses Amyloid-β Production in an Alzheimer's Disease Mouse Model. Journal of Neuroscience. 33(49). 19086–19098. 130 indexed citations
14.
Herskowitz, Jeremy H., Nicholas T. Seyfried, Duc M. Duong, et al.. (2010). Phosphoproteomic Analysis Reveals Site-Specific Changes in GFAP and NDRG2 Phosphorylation in Frontotemporal Lobar Degeneration. Journal of Proteome Research. 9(12). 6368–6379. 65 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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