Alexi Nott

23 papers receiving 1.7k citations

Alexi Nott's Hit Papers

Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes 2015 · 489 citations
4890+3+7Years since publication100200300400

Peers

Alexi Nott
Comparison fields: 5 of 108
  • Developmental Neuroscience 107
  • Biological Psychiatry 55
  • Molecular Biology 1.3k
  • Neurology 131
  • Aging 26
Replace Sanaz Bahari‐Javan with:
Sanaz Bahari‐Javan Germany
Jessica L. Wittnam Germany
José V. Sánchez‐Mut Spain
Jee-Yeon Hwang United States
James Gilbert United States
Elizabeta Gjoneska United States
Luiz Miguel Camargo United States
Luis M. Valor Spain
Ping Zhu United States
Alexi Nott relative to Sanaz Bahari‐Javan Germany Sanaz Bahari‐Javan's profile →
Citations per field
00.5×4.4×
Sanaz Bahari‐Javan · 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 25 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 →
2015489
2 2008349
3 2016160
4 2020157
5 2016101
6 201688
7 201686
8 200662
9 201349
10 200944
11 202140
12 202227
13 202024
14 201518
15 202317
16 202315
17 20084
18 20251
19 20251
20 20251

About Alexi Nott

Alexi Nott is a scholar working on Molecular Biology, Physiology, Neurology, Cellular and Molecular Neuroscience and Genetics, having authored 25 papers that have together received 1.7k 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), Genetics and Neurodevelopmental Disorders (4 papers), Neurogenesis and neuroplasticity mechanisms (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 (107 citations), Biological Psychiatry (55 citations), Molecular Biology (1.3k citations), Neurology (131 citations) and Aging (26 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 Sukhee Cho. Their work appears in journals such as Alzheimer s & Dementia, Nature Communications, Nature Neuroscience, Proceedings of the National Academy of Sciences 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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