Erik N. Bergstrom

23.7k total citations
14 papers, 463 citations indexed

About

Erik N. Bergstrom is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Erik N. Bergstrom has authored 14 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 9 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Erik N. Bergstrom's work include Cancer Genomics and Diagnostics (11 papers), Evolution and Genetic Dynamics (4 papers) and Genomics and Phylogenetic Studies (3 papers). Erik N. Bergstrom is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Evolution and Genetic Dynamics (4 papers) and Genomics and Phylogenetic Studies (3 papers). Erik N. Bergstrom collaborates with scholars based in United States, United Kingdom and France. Erik N. Bergstrom's co-authors include Ludmil B. Alexandrov, Mark Barnes, Michael R. Stratton, Steve Rozen, Mi Ni Huang, Mia Petljak, Alexandra Dananberg, Hina Shah, Josefine Striepen and John Maciejowski and has published in prestigious journals such as Nature, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Erik N. Bergstrom

13 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erik N. Bergstrom United States 9 314 248 111 70 56 14 463
Michelle Dietzen United Kingdom 6 192 0.6× 224 0.9× 137 1.2× 59 0.8× 46 0.8× 8 382
Saeed Eshtad Sweden 3 384 1.2× 325 1.3× 135 1.2× 120 1.7× 98 1.8× 4 582
Mia Petljak United States 7 408 1.3× 279 1.1× 169 1.5× 99 1.4× 65 1.2× 9 590
Mark Barnes United Kingdom 6 198 0.6× 201 0.8× 67 0.6× 62 0.9× 51 0.9× 7 306
Linda Vidarsdóttir Sweden 8 489 1.6× 358 1.4× 128 1.2× 95 1.4× 50 0.9× 14 666
Lee Lichtenstein United States 5 310 1.0× 336 1.4× 129 1.2× 136 1.9× 91 1.6× 8 571
Joydeep Bhadury Sweden 11 497 1.6× 164 0.7× 118 1.1× 41 0.6× 43 0.8× 19 590
Yexun Wang China 6 238 0.8× 239 1.0× 72 0.6× 95 1.4× 62 1.1× 10 402
Gunes Gundem United States 10 274 0.9× 103 0.4× 102 0.9× 41 0.6× 29 0.5× 30 434
Rhamy Zeid United States 5 712 2.3× 129 0.5× 222 2.0× 41 0.6× 19 0.3× 7 912

Countries citing papers authored by Erik N. Bergstrom

Since Specialization
Citations

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

Fields of papers citing papers by Erik N. Bergstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik N. Bergstrom. 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 Erik N. Bergstrom. The network helps show where Erik N. Bergstrom may publish in the future.

Co-authorship network of co-authors of Erik N. Bergstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Erik N. Bergstrom. A scholar is included among the top collaborators of Erik N. Bergstrom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Erik N. Bergstrom. Erik N. Bergstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kandyba, Eve, Kyle Halliwill, Reyno Delrosario, et al.. (2025). Long-Term Latency of Highly Mutated Cells in Normal Mouse Skin Is Reversed by Exposure to Tumor Promoters and Chronic Tissue Damage. Cancer Discovery. 15(6). 1115–1128. 2 indexed citations
2.
Abbasi, Ammal, Christopher D. Steele, Erik N. Bergstrom, et al.. (2025). HRProfiler Detects Homologous Recombination Deficiency in Breast and Ovarian Cancers Using Whole-Genome and Whole-Exome Sequencing Data. Cancer Research. 85(13). 2504–2513. 2 indexed citations
3.
Bergstrom, Erik N., Ammal Abbasi, Marcos Díaz‐Gay, et al.. (2024). Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides. Journal of Clinical Oncology. 42(30). 3550–3560. 17 indexed citations
4.
Bergstrom, Erik N., Ammal Abbasi, Marcos Díaz‐Gay, et al.. (2024). Abstract LB391: Deep learning AI predicts HRD and platinum response from histologic slides. Cancer Research. 84(7_Supplement). LB391–LB391. 1 indexed citations
5.
Bergstrom, Erik N. & Ludmil B. Alexandrov. (2024). Enhanced precision in immunotherapy. Nature Cancer. 5(8). 1136–1138.
6.
Khandekar, Azhar, Raviteja Vangara, Mark Barnes, et al.. (2023). Visualizing and exploring patterns of large mutational events with SigProfilerMatrixGenerator. BMC Genomics. 24(1). 469–469. 10 indexed citations
7.
Otlu, Burçak, et al.. (2023). Topography of mutational signatures in human cancer. Cell Reports. 42(8). 112930–112930. 14 indexed citations
8.
McCann, Jennifer L., Agnese Cristini, Emily K. Law, et al.. (2023). APOBEC3B regulates R-loops and promotes transcription-associated mutagenesis in cancer. Nature Genetics. 55(10). 1721–1734. 36 indexed citations
9.
Bergstrom, Erik N., et al.. (2022). Examining clustered somatic mutations with SigProfilerClusters. Bioinformatics. 38(13). 3470–3473. 15 indexed citations
10.
Petljak, Mia, Alexandra Dananberg, Kevan Chu, et al.. (2022). Mechanisms of APOBEC3 mutagenesis in human cancer cells. Nature. 607(7920). 799–807. 123 indexed citations
11.
Bergstrom, Erik N., Jens Luebeck, Mia Petljak, et al.. (2022). Mapping clustered mutations in cancer reveals APOBEC3 mutagenesis of ecDNA. Nature. 602(7897). 510–517. 90 indexed citations
12.
Makris, Eleftherios, Erik N. Bergstrom, Jorge de la Torre, et al.. (2021). Synchronous, Yet Genomically Distinct, GIST Offer New Insights Into Precise Targeting of Tumor Driver Mutations. JCO Precision Oncology. 5(5). 525–532. 1 indexed citations
13.
Bergstrom, Erik N., Mark Barnes, Iñigo Martincorena, & Ludmil B. Alexandrov. (2020). Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator. BMC Bioinformatics. 21(1). 438–438. 20 indexed citations
14.
Bergstrom, Erik N., Mi Ni Huang, Mark Barnes, et al.. (2019). SigProfilerMatrixGenerator: a tool for visualizing and exploring patterns of small mutational events. BMC Genomics. 20(1). 685–685. 132 indexed citations

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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