Eva Dazert

2.1k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Eva Dazert is a scholar working on Molecular Biology, Cancer Research and Hepatology. According to data from OpenAlex, Eva Dazert has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Hepatology. Recurrent topics in Eva Dazert's work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer, Lipids, and Metabolism (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Eva Dazert is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Cancer, Lipids, and Metabolism (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Eva Dazert collaborates with scholars based in Switzerland, Germany and United States. Eva Dazert's co-authors include Michael N. Hall, Markus H. Heim, Marco Colombi, Suzette Moes, Paul Jenoe, Jason Roszik, Howard Riezman, Sravanth K. Hindupur, Isabelle Riezman and Yakir Guri and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Eva Dazert

17 papers receiving 1.5k citations

Hit Papers

Arginine reprograms metabolism in liver cancer via RBM39 2023 2026 2024 2025 2023 40 80 120
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. Arginine reprograms metabolism in liver cancer via RBM39
    2023 145 citations Dirk Mossmann, Christoph Müller et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Dazert Switzerland 14 878 355 267 256 254 19 1.5k
Qiao Cheng China 24 721 0.8× 305 0.9× 505 1.9× 189 0.7× 226 0.9× 56 1.6k
Gretchen Argast United States 17 1.1k 1.3× 223 0.6× 205 0.8× 153 0.6× 123 0.5× 26 1.6k
Handong Wei China 23 1.0k 1.2× 173 0.5× 192 0.7× 287 1.1× 310 1.2× 52 1.7k
Yixuan Yang China 20 598 0.7× 289 0.8× 95 0.4× 116 0.5× 169 0.7× 64 1.0k
Tien-Shun Yeh Taiwan 17 851 1.0× 356 1.0× 166 0.6× 86 0.3× 88 0.3× 25 1.2k
Kamini Singh United States 18 1.2k 1.3× 257 0.7× 134 0.5× 77 0.3× 272 1.1× 30 1.8k
Biwei Yang China 18 526 0.6× 370 1.0× 185 0.7× 142 0.6× 153 0.6× 50 1.1k
Qin Yang China 23 870 1.0× 498 1.4× 323 1.2× 87 0.3× 155 0.6× 70 1.7k
Laura Tamblyn Canada 16 999 1.1× 250 0.7× 352 1.3× 87 0.3× 122 0.5× 22 1.6k
Shaozhong Dong China 14 1.0k 1.1× 557 1.6× 141 0.5× 73 0.3× 123 0.5× 28 1.4k

Countries citing papers authored by Eva Dazert

Since Specialization
Citations

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

Fields of papers citing papers by Eva Dazert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Dazert

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

All Works

19 of 19 papers shown
1.
2.
Al-Matary, Yahya, Mukhtiar Ahmad, Eva Dazert, et al.. (2025). Impact of Acute Myeloid Leukemia Cells on the Metabolic Function of Bone Marrow Mesenchymal Stem Cells. International Journal of Molecular Sciences. 26(17). 8301–8301.
3.
Müller, Sarah, Nadine Borst, Tobias Hutzenlaub, et al.. (2024). Generic Reporter Sets for Colorimetric Multiplex dPCR Demonstrated with 6-Plex SNP Quantification Panels. International Journal of Molecular Sciences. 25(16). 8968–8968. 2 indexed citations
4.
Mossmann, Dirk, Christoph Müller, Sujin Park, et al.. (2023). Arginine reprograms metabolism in liver cancer via RBM39. Cell. 186(23). 5068–5083.e23. 145 indexed citations breakdown →
5.
Ng, Charlotte K.Y., Eva Dazert, Mairene Coto‐Llerena, et al.. (2022). Integrative proteogenomic characterization of hepatocellular carcinoma across etiologies and stages. Nature Communications. 13(1). 2436–2436. 88 indexed citations
6.
Dazert, Eva, Jack Kuipers, Charlotte K.Y. Ng, et al.. (2022). Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model. PLoS Computational Biology. 18(9). e1009767–e1009767. 10 indexed citations
7.
Park, Sujin, Dirk Mossmann, Qian Chen, et al.. (2022). Transcription factors TEAD2 and E2A globally repress acetyl-CoA synthesis to promote tumorigenesis. Molecular Cell. 82(22). 4246–4261.e11. 18 indexed citations
8.
Gao, Ruize, David Buechel, Ravi Kiran Reddy Kalathur, et al.. (2021). USP29-mediated HIF1α stabilization is associated with Sorafenib resistance of hepatocellular carcinoma cells by upregulating glycolysis. Oncogenesis. 10(7). 52–52. 46 indexed citations
9.
Swierczynska, Marta M., Matthias Johannes Betz, Marco Colombi, et al.. (2019). Proteomic Landscape of Aldosterone-Producing Adenoma. Hypertension. 73(2). 469–480. 19 indexed citations
10.
Guri, Yakir, Marco Colombi, Eva Dazert, et al.. (2017). mTORC2 Promotes Tumorigenesis via Lipid Synthesis. Cancer Cell. 32(6). 807–823.e12. 303 indexed citations
11.
Dazert, Eva, Marco Colombi, Tujana Boldanova, et al.. (2016). Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient. Proceedings of the National Academy of Sciences. 113(5). 1381–1386. 54 indexed citations
12.
Dazert, Eva, Markus H. Heim, Niko Beerenwinkel, & Michael N. Hall. (2016). Abstract IA22: Mechanisms of evasive resistance in cancer. Molecular Cancer Research. 14(4_Supplement). IA22–IA22.
13.
Costa, Rui, Sandra Westhaus, Stephanie Pfaender, et al.. (2015). Host cell mTORC1 is required for HCV RNA replication. Gut. 65(12). 2017–2028. 41 indexed citations
14.
Stein, Ilan, Yair Klieger, Rinnat M. Porat, et al.. (2014). Acquisition of an immunosuppressive protumorigenic macrophage phenotype depending on c-Jun phosphorylation. Proceedings of the National Academy of Sciences. 111(49). 17582–17587. 47 indexed citations
15.
Ruggieri, Alessia, Eva Dazert, Philippe Metz, et al.. (2012). Dynamic Oscillation of Translation and Stress Granule Formation Mark the Cellular Response to Virus Infection. Cell Host & Microbe. 12(1). 71–85. 148 indexed citations
16.
Metz, Philippe, Eva Dazert, Alessia Ruggieri, et al.. (2012). Identification of type I and type II interferon-induced effectors controlling hepatitis C virus replication. Hepatology. 56(6). 2082–2093. 108 indexed citations
17.
Dazert, Eva & Michael N. Hall. (2011). mTOR signaling in disease. Current Opinion in Cell Biology. 23(6). 744–755. 369 indexed citations
18.
Dazert, Eva, Christoph Neumann‐Haefelin, Stéphane Bressanelli, et al.. (2009). Loss of viral fitness and cross-recognition by CD8+ T cells limit HCV escape from a protective HLA-B27–restricted human immune response. Journal of Clinical Investigation. 119(2). 376–86. 104 indexed citations
19.
Kaderali, Lars, et al.. (2009). Reconstructing signaling pathways from RNAi data using probabilistic Boolean threshold networks. Bioinformatics. 25(17). 2229–2235. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Qiao Cheng Breakdown of academic impact, for papers by Gretchen Argast Breakdown of academic impact, for papers by Handong Wei Breakdown of academic impact, for papers by Yixuan Yang Breakdown of academic impact, for papers by Tien-Shun Yeh Breakdown of academic impact, for papers by Kamini Singh Breakdown of academic impact, for papers by Biwei Yang Breakdown of academic impact, for papers by Qin Yang Breakdown of academic impact, for papers by Laura Tamblyn Breakdown of academic impact, for papers by Shaozhong Dong
Rankless by CCL
2026