Alexi Nott

24 papers receiving 1.8k citations

Alexi Nott's Hit Papers

Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes 2015 · 500 citations
5000+3+7Years since publication100200300400500

Peers

Alexi Nott
Comparison fields: 5 of 106
  • Developmental Neuroscience 104
  • Biological Psychiatry 49
  • Molecular Biology 1.2k
  • Neurology 121
  • Aging 25
Replace Ping‐Chieh Pao with:
Ping‐Chieh Pao United States
Jessica L. Wittnam Germany
Sanaz Bahari‐Javan Germany
Jee-Yeon Hwang United States
José V. Sánchez‐Mut Spain
James Gilbert United States
Elizabeta Gjoneska United States
Luiz Miguel Camargo United States
Christopher J. Yuskaitis United States
Ping Zhu United States
Alexi Nott relative to Ping‐Chieh Pao United States Ping‐Chieh Pao's profile →
Citations per field
00.5×1.5×1.8×
Ping‐Chieh Pao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Alexi Nott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexi Nott Line = papers co-authored together Alexi Nott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes
Hit paper breakdown →
2015500
2 2008350
3 2020163
4 2016161
5 2016103
6 201691
7 201687
8 200662
9 201349
10 200943
11 202140
12 202229
13 202024
14 201519
15 202317
16 202316
17 20258
18 20254
19 20084
20 20243

About Alexi Nott

Alexi Nott is a scholar working on Molecular Biology, Physiology, Neurology, Cellular and Molecular Neuroscience and Genetics, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Single-cell and spatial transcriptomics (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (104 citations), Biological Psychiatry (49 citations), Molecular Biology (1.2k citations), Neurology (121 citations) and Aging (25 citations). Alexi Nott has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include James Robinson, Luca Crepaldi, Fan Gao, Li‐Huei Tsai, Richard Rueda, Elizabeta Gjoneska, Ping‐Chieh Pao, Trongha Phan, Ling Pan and Jinsoo Seo. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Nature Neuroscience, Alzheimer s & Dementia and iScience.

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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