Galina Erikson

3.6k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Galina Erikson is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Galina Erikson has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Galina Erikson's work include Genomics and Chromatin Dynamics (5 papers), Genomics and Rare Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Galina Erikson is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Genomics and Rare Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Galina Erikson collaborates with scholars based in United States, Germany and Switzerland. Galina Erikson's co-authors include Maxim N. Shokhirev, Matthew M. Boisvert, Nicola J. Allen, Ali Torkamani, Eric J. Topol, William C. Ferguson, Valentina Lo Sardo, Kristin K. Baldwin, Pradeep Reddy and Juan Carlos Izpisúa Belmonte and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Galina Erikson

22 papers receiving 1.4k citations

Hit Papers

The Aging Astrocyte Transcriptome from Multiple Regions o... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Galina Erikson United States 15 759 372 234 220 172 23 1.4k
Matheus B. Victor United States 12 877 1.2× 386 1.0× 324 1.4× 359 1.6× 68 0.4× 16 1.4k
Devon S. Svoboda Canada 9 784 1.0× 165 0.4× 159 0.7× 120 0.5× 113 0.7× 13 1.2k
Angelo Raggioli Germany 6 488 0.6× 437 1.2× 229 1.0× 168 0.8× 66 0.4× 8 1.2k
Mark E. Hester United States 20 1.1k 1.4× 308 0.8× 241 1.0× 390 1.8× 194 1.1× 32 1.9k
Bula J. Bhattacharyya United States 19 804 1.1× 176 0.5× 249 1.1× 399 1.8× 147 0.9× 30 1.5k
Makoto Horiuchi United States 22 740 1.0× 416 1.1× 164 0.7× 415 1.9× 240 1.4× 44 1.6k
Carlos Río United States 14 850 1.1× 275 0.7× 303 1.3× 677 3.1× 136 0.8× 32 2.1k
José P. López‐Atalaya Spain 27 1.2k 1.5× 365 1.0× 127 0.5× 427 1.9× 399 2.3× 46 2.0k
Roeben N. Munji United States 9 633 0.8× 634 1.7× 136 0.6× 282 1.3× 110 0.6× 11 1.5k
Kun Leng United States 9 485 0.6× 343 0.9× 229 1.0× 113 0.5× 50 0.3× 16 905

Countries citing papers authored by Galina Erikson

Since Specialization
Citations

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

Fields of papers citing papers by Galina Erikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galina Erikson

This figure shows the co-authorship network connecting the top 25 collaborators of Galina Erikson. A scholar is included among the top collaborators of Galina Erikson 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 Galina Erikson. Galina Erikson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shukeir, Nicholas, Reagan W. Ching, Galina Erikson, et al.. (2025). The isoflavone genistein selectively stimulates major satellite repeat transcription in mouse heterochromatin. Epigenetics & Chromatin. 18(1). 58–58.
2.
Ching, Reagan W., et al.. (2025). Forced expression of MSR repeat transcripts above a threshold limit breaks heterochromatin organisation. Nature Communications. 16(1). 6420–6420. 1 indexed citations
3.
Shrestha, Shristi, Galina Erikson, James Lyon, et al.. (2022). Aging compromises human islet beta cell function and identity by decreasing transcription factor activity and inducing ER stress. Science Advances. 8(40). eabo3932–eabo3932. 39 indexed citations
4.
Sen, Arko, et al.. (2021). Discovering single nucleotide variants and indels from bulk and single-cell ATAC-seq. Nucleic Acids Research. 49(14). 7986–7994. 9 indexed citations
5.
Vadodaria, Krishna C., Ana P. D. Mendes, Arianna Mei, et al.. (2021). Altered Neuronal Support and Inflammatory Response in Bipolar Disorder Patient-Derived Astrocytes. Stem Cell Reports. 16(4). 825–835. 26 indexed citations
6.
Montavon, Thomas, Nicholas Shukeir, Galina Erikson, et al.. (2021). Complete loss of H3K9 methylation dissolves mouse heterochromatin organization. Nature Communications. 12(1). 4359–4359. 66 indexed citations
7.
Onishi‐Seebacher, Megumi, Galina Erikson, Daniel Ryan, et al.. (2021). Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia. BMC Medical Genomics. 14(1). 166–166. 13 indexed citations
8.
Santos, Renata, Sara B. Linker, Shani Stern, et al.. (2021). Deficient LEF1 expression is associated with lithium resistance and hyperexcitability in neurons derived from bipolar disorder patients. Molecular Psychiatry. 26(6). 2440–2456. 35 indexed citations
9.
Beyret, Ergin, Hsin‐Kai Liao, Mako Yamamoto, et al.. (2019). Single-dose CRISPR–Cas9 therapy extends lifespan of mice with Hutchinson–Gilford progeria syndrome. Nature Medicine. 25(3). 419–422. 104 indexed citations
10.
Amatya, Debha N., Sara B. Linker, Ana P. D. Mendes, et al.. (2019). Dynamical Electrical Complexity Is Reduced during Neuronal Differentiation in Autism Spectrum Disorder. Stem Cell Reports. 13(3). 474–484. 9 indexed citations
11.
Amaral, Maria Luisa, Galina Erikson, & Maxim N. Shokhirev. (2018). BART: bioinformatics array research tool. BMC Bioinformatics. 19(1). 296–296. 26 indexed citations
12.
Benegiamo, Giorgia, Ludovic S. Mure, Galina Erikson, et al.. (2018). The RNA-Binding Protein NONO Coordinates Hepatic Adaptation to Feeding. Cell Metabolism. 27(2). 404–418.e7. 84 indexed citations
13.
Boisvert, Matthew M., Galina Erikson, Maxim N. Shokhirev, & Nicola J. Allen. (2018). The Aging Astrocyte Transcriptome from Multiple Regions of the Mouse Brain. Cell Reports. 22(1). 269–285. 487 indexed citations breakdown →
14.
DelGiorno, Kathleen E., Tejia Zhang, Randall P. French, et al.. (2017). Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy. PLoS ONE. 12(12). e0189051–e0189051. 29 indexed citations
15.
Erikson, Galina, Dale L. Bodian, Manuel Rueda, et al.. (2016). Whole-Genome Sequencing of a Healthy Aging Cohort. Cell. 165(4). 1002–1011. 131 indexed citations
16.
Cabana‐Domínguez, Judit, Carlos Roncero, Lara Grau‐López, et al.. (2016). A Highly Polymorphic Copy Number Variant in the NSF Gene is Associated with Cocaine Dependence. Scientific Reports. 6(1). 31033–31033. 7 indexed citations
17.
Pham, Phillip, et al.. (2015). Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver. PLoS ONE. 10(2). e0116815–e0116815. 10 indexed citations
18.
Bloss, Cinnamon S., Ashley A. Scott‐Van Zeeland, Sarah E. Topol, et al.. (2015). A genome sequencing program for novel undiagnosed diseases. Genetics in Medicine. 17(12). 995–1001. 20 indexed citations
19.
Erikson, Galina, et al.. (2014). SG-ADVISER CNV: copy-number variant annotation and interpretation. Genetics in Medicine. 17(9). 714–718. 25 indexed citations
20.
Belani, Rajesh, et al.. (2014). ASXL1 and DNMT3A mutation in a cytogenetically normal B3 thymoma. Oncogenesis. 3(7). e111–e111. 11 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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