Jonathan Nicholson

2.9k citations
7 papers · 1.8k · 3 hit papers · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering

Papers in

    • Cancer Genomics and Diagnostics 3
    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 1
    • Genomics and Phylogenetic Studies 1

Jonathan Nicholson

7 papers receiving 1.8k citations

Jonathan Nicholson's Hit Papers

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes 2020 · 419 citations
4190+2+4Years since publication100200300400

Peers

Jonathan Nicholson
Comparison fields: 5 of 92
  • Cancer Research 692
  • Molecular Biology 1.1k
  • Oncology 294
  • Genetics 300
  • Pathology and Forensic Medicine 167
Replace Nicola Sperandio with:
Nicola Sperandio Germany
Andy G. Lynch United Kingdom
W. M. Linehan United States
Péter Lichter Germany
Francesco Favero Italy
S. Cenk Sahinalp Canada
Steve Hoffmann Germany
Hyunghwan Kim Germany
Ville Mustonen Canada
Alexander Claviez Germany
Jonathan Nicholson relative to Nicola Sperandio Germany Nicola Sperandio's profile →
Citations per field
00.5×1.5×
Nicola Sperandio · 1×
Citations per year

Countries citing papers authored by Jonathan Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

7 of 7 papers shown
#Work
1
Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
Hit paper breakdown →
2020476
2
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
Hit paper breakdown →
2020419
3
Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition
Hit paper breakdown →
2020309
4 2020293
5 2020184
6 202057
7 202039

About Jonathan Nicholson

Jonathan Nicholson is a scholar working on Cancer Research, Molecular Biology, Statistics and Probability, Animal Science and Zoology and Pathology and Forensic Medicine, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (1 paper), Genomics and Phylogenetic Studies (1 paper), Animal Virus Infections Studies (1 paper), Statistical Methods in Clinical Trials (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Cancer Research (692 citations), Molecular Biology (1.1k citations), Oncology (294 citations), Genetics (300 citations) and Pathology and Forensic Medicine (167 citations). Jonathan Nicholson has collaborated with scholars based in Canada, Germany and United States. Their work appears in journals such as Nature Genetics, Nature Communications and Nature.

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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