Eva Hellstrom-Lindberg

11.6k citations
12 papers · 7.1k · 6 hit papers · h-index 11

Impact in

Papers in

Eva Hellstrom-Lindberg

12 papers receiving 7.0k citations

Eva Hellstrom-Lindberg's Hit Papers

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes 2020 · 419 citations
4190+2+4Years since publication50010001.5k2.0k

Peers

Eva Hellstrom-Lindberg
Comparison fields: 5 of 132
  • Cancer Research 3.3k
  • Oncology 1.5k
  • Molecular Biology 3.8k
  • Pathology and Forensic Medicine 852
  • Genetics 1.1k
Replace Matthew J. J. Anderson with:
Matthew J. J. Anderson United States
Fruzsina Molnár-Gábor Germany
Xiuqing Zheng Canada
Janet Shirley Graham Canada
Sharmila Sothi United Kingdom
Danielle Pasternack Canada
Lincoln D. Stein Canada
Alessandro Pastore Canada
David Haan Canada
Petar Radovic Canada
Eva Hellstrom-Lindberg relative to Matthew J. J. Anderson United States Matthew J. J. Anderson's profile →
Citations per field
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Matthew J. J. Anderson · 1×
Citations per year

Countries citing papers authored by Eva Hellstrom-Lindberg

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hellstrom-Lindberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Hellstrom-Lindberg. 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 Eva Hellstrom-Lindberg. The network helps show where Eva Hellstrom-Lindberg may publish in the future.

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All Works

12 of 12 papers shown
#Work
1
The repertoire of mutational signatures in human cancer
Hit paper breakdown →
20202339
2
Pan-cancer analysis of whole genomes
Hit paper breakdown →
20202109
3
The evolutionary history of 2,658 cancers
Hit paper breakdown →
2020705
4
Patterns of somatic structural variation in human cancer genomes
Hit paper breakdown →
2020550
5
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
Hit paper breakdown →
2020419
6 2020317
7
Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition
Hit paper breakdown →
2020309
8 2020160
9 202077
10 201771
11 202030
12 20209

About Eva Hellstrom-Lindberg

Eva Hellstrom-Lindberg is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Genetics and Oncology, having authored 12 papers that have together received 7.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Genomics and Phylogenetic Studies (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer-related Molecular Pathways (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Cancer Research (3.3k citations), Oncology (1.5k citations), Molecular Biology (3.8k citations), Pathology and Forensic Medicine (852 citations) and Genetics (1.1k citations). Eva Hellstrom-Lindberg has collaborated with scholars based in United States, Canada and Germany. Their work appears in journals such as Nature, Nature Communications, Nature Genetics, Cancer Research 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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