Alexi Nott

3.8k total citations · 1 hit paper
25 papers, 1.7k citations indexed

About

Alexi Nott is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Alexi Nott has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Neurology. Recurrent topics in Alexi Nott's work include Epigenetics and DNA Methylation (11 papers), Alzheimer's disease research and treatments (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Alexi Nott is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Alzheimer's disease research and treatments (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Alexi Nott collaborates with scholars based in United Kingdom, United States and Netherlands. Alexi Nott's co-authors include James Robinson, Luca Crepaldi, Fan Gao, Li‐Huei Tsai, Richard Rueda, Elizabeta Gjoneska, Ping‐Chieh Pao, Ling Pan, Trongha Phan and Sukhee Cho and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Alexi Nott

23 papers receiving 1.7k citations

Hit Papers

Activity-Induced DNA Breaks Govern the Expression of Neur... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexi Nott United Kingdom 16 1.3k 354 287 255 163 25 1.7k
Krista M. Hennig United States 11 1.3k 1.0× 412 1.2× 415 1.4× 344 1.3× 92 0.6× 12 1.8k
Jean‐René Cardinaux Switzerland 20 977 0.8× 323 0.9× 205 0.7× 500 2.0× 86 0.5× 30 1.6k
Elizabeta Gjoneska United States 8 1.1k 0.8× 252 0.7× 361 1.3× 172 0.7× 68 0.4× 8 1.4k
Luiz Miguel Camargo United States 18 1.4k 1.1× 393 1.1× 270 0.9× 516 2.0× 111 0.7× 22 2.1k
Robin J. Kleiman United States 26 1.7k 1.4× 259 0.7× 195 0.7× 625 2.5× 164 1.0× 45 2.5k
Gunther Kauselmann Germany 13 1.2k 0.9× 321 0.9× 170 0.6× 680 2.7× 251 1.5× 17 2.0k
Baris Bingol United States 15 1.8k 1.4× 330 0.9× 548 1.9× 618 2.4× 136 0.8× 18 3.0k
Jay Penney United States 18 1.2k 0.9× 154 0.4× 522 1.8× 410 1.6× 124 0.8× 22 2.0k
José V. Sánchez‐Mut Spain 17 1.1k 0.9× 459 1.3× 262 0.9× 157 0.6× 91 0.6× 25 1.6k
Ping‐Chieh Pao United States 14 795 0.6× 111 0.3× 220 0.8× 293 1.1× 201 1.2× 18 1.3k

Countries citing papers authored by Alexi Nott

Since Specialization
Citations

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

Fields of papers citing papers by Alexi Nott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexi Nott

This figure shows the co-authorship network connecting the top 25 collaborators of Alexi Nott. A scholar is included among the top collaborators of Alexi Nott 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 Alexi Nott. Alexi Nott 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
2.
Marzi, Sarah J., et al.. (2025). Genetic risk for neurodegenerative conditions is linked to disease-specific microglial pathways. PLoS Genetics. 21(4). e1011407–e1011407. 1 indexed citations
3.
Hu, Di, Joy N. Ismail, Brian M. Schilder, et al.. (2025). CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks. Nature Communications. 16(1). 2993–2993. 1 indexed citations
4.
Nott, Alexi, et al.. (2025). CHAS infers cell type-specific signatures in bulk brain histone acetylation studies of neurological and psychiatric disorders. Cell Reports Methods. 5(5). 101032–101032. 1 indexed citations
5.
Holtman, Inge R., Christopher K. Glass, & Alexi Nott. (2024). Interpretation of Neurodegenerative GWAS Risk Alleles in Microglia and their Interplay with Other Cell Types. Advances in neurobiology. 37. 531–544. 1 indexed citations
6.
Nott, Alexi & Inge R. Holtman. (2024). Spatial mapping of Alzheimer’s disease across genetic subtypes. Nature Genetics. 56(12). 2592–2593.
7.
Marzi, Sarah J., Brian M. Schilder, Alexi Nott, et al.. (2023). Artificial intelligence for neurodegenerative experimental models. Alzheimer s & Dementia. 19(12). 5970–5987. 15 indexed citations
8.
Nott, Alexi & Inge R. Holtman. (2023). Genetic insights into immune mechanisms of Alzheimer’s and Parkinson’s disease. Frontiers in Immunology. 14. 1168539–1168539. 17 indexed citations
9.
Yıldırım, Murat, Chloé Delépine, Danielle Feldman, et al.. (2022). Label-free three-photon imaging of intact human cerebral organoids for tracking early events in brain development and deficits in Rett syndrome. eLife. 11. 27 indexed citations
10.
Nott, Alexi, Johannes C. M. Schlachetzki, Bethany Fixsen, & Christopher K. Glass. (2021). Nuclei isolation of multiple brain cell types for omics interrogation. Nature Protocols. 16(3). 1629–1646. 40 indexed citations
11.
Pao, Ping‐Chieh, Debasis Patnaik, L. Ashley Watson, et al.. (2020). HDAC1 modulates OGG1-initiated oxidative DNA damage repair in the aging brain and Alzheimer’s disease. Nature Communications. 11(1). 2484–2484. 157 indexed citations
12.
Nitarska, Justyna, Jacob G. Smith, Alexi Nott, et al.. (2016). A Functional Switch of NuRD Chromatin Remodeling Complex Subunits Regulates Mouse Cortical Development. Cell Reports. 17(6). 1683–1698. 101 indexed citations
13.
Nott, Alexi, Jemmie Cheng, Fan Gao, et al.. (2016). Histone deacetylase 3 associates with MeCP2 to regulate FOXO and social behavior. Nature Neuroscience. 19(11). 1497–1505. 86 indexed citations
14.
Seneviratne, Uthpala, Alexi Nott, Vadiraja B. Bhat, et al.. (2016). S -nitrosation of proteins relevant to Alzheimer’s disease during early stages of neurodegeneration. Proceedings of the National Academy of Sciences. 113(15). 4152–4157. 88 indexed citations
15.
Durak, Omer, Fan Gao, Yea Jin Kaeser‐Woo, et al.. (2016). Chd8 mediates cortical neurogenesis via transcriptional regulation of cell cycle and Wnt signaling. Nature Neuroscience. 19(11). 1477–1488. 160 indexed citations
16.
Nott, Alexi, Sukhee Cho, Jinsoo Seo, & Li‐Huei Tsai. (2015). HDAC2 expression in parvalbumin interneurons regulates synaptic plasticity in the mouse visual cortex. PubMed. 1. 34–40. 18 indexed citations
17.
Madabhushi, Ram, Fan Gao, Andreas R. Pfenning, et al.. (2015). Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes. Cell. 161(7). 1592–1605. 489 indexed citations breakdown →
18.
Nott, Alexi, et al.. (2009). Nitric Oxide-mediated epigenetic mechanisms in developing neurons. Cell Cycle. 8(5). 725–730. 44 indexed citations
19.
Nott, Alexi, et al.. (2008). S-nitrosylation of histone deacetylase 2 induces chromatin remodelling in neurons. Nature. 455(7211). 411–415. 349 indexed citations
20.
Nott, Alexi & Edward D. Levin. (2006). Dorsal hippocampal α7 and α4β2 nicotinic receptors and memory. Brain Research. 1081(1). 72–78. 62 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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