Steve Hoffmann

3.5k citations
11 papers · 2.2k · 3 hit papers · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Bioinformatics and Genomic Networks

Papers in

    • Cancer Genomics and Diagnostics 4
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 3
    • Genomics and Phylogenetic Studies 2
    • Bioinformatics and Genomic Networks 2
    • CRISPR and Genetic Engineering 1

Steve Hoffmann

11 papers receiving 2.2k citations

Steve Hoffmann's Hit Papers

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

Peers

Steve Hoffmann
Comparison fields: 5 of 104
  • Cancer Research 835
  • Molecular Biology 1.3k
  • Oncology 374
  • Pathology and Forensic Medicine 246
  • Genetics 323
Replace Jingchun Zhu with:
Jingchun Zhu United States
L. van’t Veer Canada
Peter Vermeulen United States
Ville Mustonen Canada
Marc Zapatka United States
Zhenggang Wu Germany
Xiaotong Yao Germany
Esa Pitkänen Germany
Nicola Sperandio Germany
Kiran Kumar Canada
Steve Hoffmann relative to Jingchun Zhu United States Jingchun Zhu's profile →
Citations per field
00.5×1.5×
Jingchun Zhu · 1×
Citations per year

Countries citing papers authored by Steve Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Steve Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

11 of 11 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 2020301
5 2020293
6 2020160
7 2022106
8 202077
9 202057
10 202039
11 20209

About Steve Hoffmann

Steve Hoffmann is a scholar working on Cancer Research, Molecular Biology, Information Systems and Management, Statistics and Probability and Genetics, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), CRISPR and Genetic Engineering (1 paper), Animal Virus Infections Studies (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Cancer Research (835 citations), Molecular Biology (1.3k citations), Oncology (374 citations), Pathology and Forensic Medicine (246 citations) and Genetics (323 citations). Steve Hoffmann has collaborated with scholars based in Germany, Canada and United States. Their work appears in journals such as Nature Communications, Nature Genetics, Nature and Nature Biotechnology.

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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