Nathan Skene

13.0k citations
29 papers · 3.8k indexed · 3 hit papers · h-index 17

Impact in

Papers in

Nathan Skene

28 papers receiving 3.7k citations

Hit Papers

Genetic identification of brain cell types underlying schizophrenia 2018 · 326 citations
326201820262020202350010001.5k

Peers

Nathan Skene
Comparison fields: 5 of 141
  • Neurology 776
  • Developmental Neuroscience 302
  • Biological Psychiatry 150
  • Cellular and Molecular Neuroscience 787
  • Biophysics 200
Replace Ana B. Muñoz‐Manchado with:
Ana B. Muñoz‐Manchado Sweden
Anthony J. Martorell United States
Joseph D. Dougherty United States
Moritz J. Rossner Germany
Geneviève Konopka United States
Scott H. Soderling United States
Subhojit Roy United States
Susan M. Dymecki United States
Myriam Heiman United States
Thomas H. Gillingwater United Kingdom
Nathan Skene relative to Ana B. Muñoz‐Manchado Sweden Ana B. Muñoz‐Manchado's profile →
Citations per field
00.5×1.5×1.9×
Ana B. Muñoz‐Manchado · 1×
Citations per year

Countries citing papers authored by Nathan Skene

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Skene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nathan Skene, 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 Nathan Skene Line = papers co-authored together Nathan Skene links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20243
4 20237
5 20235
6 20232
7 202312
8 20225
9 202141
10 20218
11 202044
12 2019110
13
Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways
Hit paper breakdown →
2018405
14 2018148
15 2018176
16 201841
17
Genetic identification of brain cell types underlying schizophrenia
Hit paper breakdown →
2018326
18
Molecular Architecture of the Mouse Nervous System
Hit paper breakdown →
20181572
19 201738
20 201277

About Nathan Skene

Nathan Skene is a scholar working on Neurology, Developmental Neuroscience, Biological Psychiatry, Biophysics and Genetics, having authored 29 papers that have together received 3.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Genetic Associations and Epidemiology (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Epigenetics and DNA Methylation (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Neurology (776 citations), Developmental Neuroscience (302 citations), Biological Psychiatry (150 citations), Cellular and Molecular Neuroscience (787 citations) and Biophysics (200 citations). Nathan Skene has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Jens Hjerling‐Leffler, Sten Linnarsson, Seth G. N. Grant, Kenneth D. Harris, Hannah Hochgerner, Amit Zeisel, Peter Lönnerberg, Simone Codeluppi, Patrik Ernfors and Martin Häring. Their work appears in journals such as Nature Communications, Nature Genetics, Cell Reports, Molecular Psychiatry and eLife.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026