Alexandra Avgustinova

2.6k total citations · 2 hit papers
13 papers, 1.9k citations indexed

About

Alexandra Avgustinova is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alexandra Avgustinova has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alexandra Avgustinova's work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (2 papers). Alexandra Avgustinova is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (2 papers). Alexandra Avgustinova collaborates with scholars based in Spain, United Kingdom and Germany. Alexandra Avgustinova's co-authors include Salvador Aznar Benitah, Luciano Di Croce, Mercè Martı́n, Neus Prats, Andrés Castellanos‐Martín, Coro Bescós, Gloria Pascual, Antonio Berenguer, Camille Stephan‐Otto Attolini and Stefania Mejetta and has published in prestigious journals such as Nature, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Alexandra Avgustinova

13 papers receiving 1.9k citations

Hit Papers

Targeting metastasis-initiating cells through the fatty a... 2016 2026 2019 2022 2016 2022 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Targeting metastasis-initiating cells through the fatty acid receptor CD36
    2016 1.0k citations Gloria Pascual, Alexandra Avgustinova et al. Nature profile →
  2. Cancer-Associated Fibroblasts Suppress CD8+ T-cell Infiltration and Confer Resistance to Immune-Checkpoint Blockade
    2022 151 citations Liam Jenkins, Ute Jungwirth et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandra Avgustinova Spain 10 1.2k 919 532 308 178 13 1.9k
Susan Mason United Kingdom 17 1.4k 1.2× 673 0.7× 648 1.2× 356 1.2× 189 1.1× 33 2.1k
Edward L. LaGory United States 18 927 0.8× 718 0.8× 312 0.6× 242 0.8× 256 1.4× 25 1.5k
Xinbao Hao China 14 1.3k 1.1× 835 0.9× 506 1.0× 123 0.4× 117 0.7× 35 1.8k
Shan Rao China 11 872 0.7× 668 0.7× 291 0.5× 311 1.0× 197 1.1× 19 1.4k
Tsuyoshi Osawa Japan 21 1.0k 0.8× 448 0.5× 292 0.5× 169 0.5× 106 0.6× 37 1.4k
Chongbiao Huang China 26 824 0.7× 598 0.7× 765 1.4× 439 1.4× 261 1.5× 49 1.7k
Brian C. Grabiner United States 11 1.1k 0.9× 472 0.5× 441 0.8× 422 1.4× 164 0.9× 11 1.8k
Matthew L. Arwood United States 8 656 0.5× 658 0.7× 396 0.7× 736 2.4× 113 0.6× 11 1.4k
Christian D. Young United States 23 1.1k 0.9× 420 0.5× 790 1.5× 318 1.0× 229 1.3× 52 1.9k
Shuo Qie United States 17 1.0k 0.9× 513 0.6× 429 0.8× 102 0.3× 198 1.1× 30 1.5k

Countries citing papers authored by Alexandra Avgustinova

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Avgustinova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Avgustinova

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

All Works

13 of 13 papers shown
1.
Blanco, Enrique, Guerau Fernández, Soledad Gómez‐González, et al.. (2025). KDM6 Demethylases Contribute to EWSR1::FLI1-Driven Oncogenic Reprogramming in Ewing Sarcoma. Cancer Research. 85(22). 4485–4503. 1 indexed citations
2.
Muiños, Ferran, Víctor González‐Huici, Alexandra Avgustinova, et al.. (2024). Origins of Second Malignancies in Children and Mutational Footprint of Chemotherapy in Normal Tissues. Cancer Discovery. 14(6). 953–964. 7 indexed citations
3.
Lorito, Nicla, Marina Bacci, Laura Tronci, et al.. (2024). FADS1/2 control lipid metabolism and ferroptosis susceptibility in triple-negative breast cancer. EMBO Molecular Medicine. 16(7). 1533–1559. 33 indexed citations
4.
Jenkins, Liam, Ute Jungwirth, Alexandra Avgustinova, et al.. (2022). Cancer-Associated Fibroblasts Suppress CD8+ T-cell Infiltration and Confer Resistance to Immune-Checkpoint Blockade. Cancer Research. 82(16). 2904–2917. 151 indexed citations breakdown →
5.
Avgustinova, Alexandra, Carmelo Laudanna, Mónica Pascual-García, et al.. (2021). Repression of endogenous retroviruses prevents antiviral immune response and is required for mammary gland development. Cell stem cell. 28(10). 1790–1804.e8. 8 indexed citations
6.
Li, Hui, Qi Yao, Xudong Wu, et al.. (2018). Epigenetic control of IL-23 expression in keratinocytes is important for chronic skin inflammation. Nature Communications. 9(1). 1420–1420. 98 indexed citations
7.
Avgustinova, Alexandra, Aikaterini Symeonidi, Andrés Castellanos‐Martín, et al.. (2018). Loss of G9a preserves mutation patterns but increases chromatin accessibility, genomic instability and aggressiveness in skin tumours. Nature Cell Biology. 20(12). 1400–1409. 33 indexed citations
8.
Rinaldi, Lorenzo, Alexandra Avgustinova, Mercè Martı́n, et al.. (2017). Loss of Dnmt3a and Dnmt3b does not affect epidermal homeostasis but promotes squamous transformation through PPAR-γ. eLife. 6. 45 indexed citations
9.
Avgustinova, Alexandra, Marjan Iravani, David Robertson, et al.. (2016). Tumour cell-derived Wnt7a recruits and activates fibroblasts to promote tumour aggressiveness. Nature Communications. 7(1). 10305–10305. 126 indexed citations
10.
Pascual, Gloria, Alexandra Avgustinova, Stefania Mejetta, et al.. (2016). Targeting metastasis-initiating cells through the fatty acid receptor CD36. Nature. 541(7635). 41–45. 1044 indexed citations breakdown →
11.
Rinaldi, Lorenzo, Debayan Datta, Judit Serrat, et al.. (2016). Dnmt3a and Dnmt3b Associate with Enhancers to Regulate Human Epidermal Stem Cell Homeostasis. Cell stem cell. 19(4). 491–501. 159 indexed citations
12.
Avgustinova, Alexandra & Salvador Aznar Benitah. (2016). Epigenetic control of adult stem cell function. Nature Reviews Molecular Cell Biology. 17(10). 643–658. 169 indexed citations
13.
Avgustinova, Alexandra & Salvador Aznar Benitah. (2016). The epigenetics of tumour initiation: cancer stem cells and their chromatin. Current Opinion in Genetics & Development. 36. 8–15. 47 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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