Mariia Yuneva

5.4k total citations · 4 hit papers
26 papers, 3.4k citations indexed

About

Mariia Yuneva is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Mariia Yuneva has authored 26 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 17 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Mariia Yuneva's work include Cancer, Hypoxia, and Metabolism (18 papers), Metabolism, Diabetes, and Cancer (8 papers) and Cancer-related Molecular Pathways (6 papers). Mariia Yuneva is often cited by papers focused on Cancer, Hypoxia, and Metabolism (18 papers), Metabolism, Diabetes, and Cancer (8 papers) and Cancer-related Molecular Pathways (6 papers). Mariia Yuneva collaborates with scholars based in United Kingdom, United States and Germany. Mariia Yuneva's co-authors include Ravi Sachidanandam, Yuri Lazebnik, Peter J. Oefner, Nicola Zamboni, Richard M. Higashi, Katherine Sellers, J. Michael Bishop, Chunmei Wang, Thaddeus D. Allen and Dana Ferraris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Mariia Yuneva

24 papers receiving 3.4k citations

Hit Papers

Deficiency in glutamine but not glucose induces MYC-depen... 2007 2026 2013 2019 2007 2015 2012 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariia Yuneva United Kingdom 18 2.6k 2.2k 701 347 268 26 3.4k
Jaekyoung Son South Korea 20 1.6k 0.6× 1.3k 0.6× 643 0.9× 208 0.6× 197 0.7× 31 2.4k
Alba Luengo United States 11 1.8k 0.7× 1.4k 0.7× 396 0.6× 189 0.5× 170 0.6× 15 2.5k
Frédéric Dayan France 10 1.8k 0.7× 1.5k 0.7× 420 0.6× 130 0.4× 198 0.7× 15 2.7k
Simon Wigfield United Kingdom 20 2.4k 0.9× 1.3k 0.6× 407 0.6× 230 0.7× 188 0.7× 25 3.2k
Zhao Lin China 26 2.1k 0.8× 1.8k 0.8× 636 0.9× 95 0.3× 178 0.7× 43 3.0k
Deliang Guo United States 29 2.6k 1.0× 2.0k 0.9× 615 0.9× 544 1.6× 409 1.5× 76 4.1k
Ryan Williams United States 25 2.0k 0.8× 905 0.4× 429 0.6× 133 0.4× 201 0.8× 44 2.9k
Xiangdong Le United States 32 2.4k 0.9× 1.1k 0.5× 1.0k 1.5× 142 0.4× 223 0.8× 39 3.5k
Jennifer B. Dennison United States 21 1.3k 0.5× 1.0k 0.5× 583 0.8× 169 0.5× 237 0.9× 52 2.1k
Dimitrios Anastasiou United Kingdom 15 1.7k 0.7× 981 0.4× 384 0.5× 158 0.5× 196 0.7× 30 2.5k

Countries citing papers authored by Mariia Yuneva

Since Specialization
Citations

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

Fields of papers citing papers by Mariia Yuneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariia Yuneva

This figure shows the co-authorship network connecting the top 25 collaborators of Mariia Yuneva. A scholar is included among the top collaborators of Mariia Yuneva 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 Mariia Yuneva. Mariia Yuneva 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.
Román-Trufero, Mónica, Kevin Blighe, Paula Saavedra-García, et al.. (2025). An ISR-independent role of GCN2 prevents excessive ribosome biogenesis and mRNA translation. Life Science Alliance. 8(5). e202403014–e202403014.
2.
Kreuzaler, Peter, Catherine Maclachlan, G. McMahon, et al.. (2025). A multimodal imaging pipeline to decipher cell-specific metabolic functions and tissue microenvironment dynamics. Nature Protocols. 20(6). 1678–1699. 4 indexed citations
3.
Ling, Stephanie, Alex Dexter, Alan Race, et al.. (2025). Use of metabolic imaging to monitor heterogeneity of tumour response following therapeutic mTORC1/2 pathway inhibition. Disease Models & Mechanisms. 18(2). 2 indexed citations
4.
Tarrado‐Castellarnau, Míriam, Carles Foguet, Ibrahim H. Polat, et al.. (2025). Glutaminase as a metabolic target of choice to counter acquired resistance to Palbociclib by colorectal cancer cells. Oncogene. 44(36). 3386–3406.
5.
Yuneva, Mariia, et al.. (2024). Orbi‐SIMS Mediated Metabolomics Analysis of Pathogenic Tissue up to Cellular Resolution. Chemistry - Methods. 4(7-8). 4 indexed citations
6.
Bentham, Robert B., Emily T.Y. Tong, Clement Lo, et al.. (2024). Multistate Gene Cluster Switches Determine the Adaptive Mitochondrial and Metabolic Landscape of Breast Cancer. Cancer Research. 84(17). 2911–2925. 1 indexed citations
7.
Hennequart, Marc, Steven E. Pilley, Christiaan F. Labuschagne, et al.. (2023). ALDH1L2 regulation of formate, formyl-methionine, and ROS controls cancer cell migration and metastasis. Cell Reports. 42(6). 112562–112562. 22 indexed citations
8.
Seo, Youngho, et al.. (2022). [18F]-(2S,4R)4-Fluoroglutamine PET Imaging of Glutamine Metabolism in Murine Models of Hepatocellular Carcinoma (HCC). Molecular Imaging. 2022. 5185951–5185951. 1 indexed citations
9.
Foguet, Carles, Míriam Tarrado‐Castellarnau, Silvia Marín, et al.. (2021). Cysteine and Folate Metabolism Are Targetable Vulnerabilities of Metastatic Colorectal Cancer. Cancers. 13(3). 425–425. 16 indexed citations
10.
Méndez‐Lucas, Andrés, Wei Lin, Paul C. Driscoll, et al.. (2020). Identifying strategies to target the metabolic flexibility of tumours. Nature Metabolism. 2(4). 335–350. 100 indexed citations
11.
Nanda, Chandan Seth, et al.. (2019). Defining a metabolic landscape of tumours: genome meets metabolism. British Journal of Cancer. 122(2). 136–149. 57 indexed citations
12.
Kreuzaler, Peter, et al.. (2019). Adapt and conquer: Metabolic flexibility in cancer growth, invasion and evasion. Molecular Metabolism. 33. 83–101. 115 indexed citations
13.
Méndez‐Lucas, Andrés, Xiaolei Li, Junjie Hu, et al.. (2017). Glucose Catabolism in Liver Tumors Induced by c-MYC Can Be Sustained by Various PKM1/PKM2 Ratios and Pyruvate Kinase Activities. Cancer Research. 77(16). 4355–4364. 67 indexed citations
14.
Tarrado‐Castellarnau, Míriam, et al.. (2017). De novo MYC addiction as an adaptive response of cancer cells to CDK 4/6 inhibition. Molecular Systems Biology. 13(10). 940–940. 48 indexed citations
15.
Yuneva, Mariia, et al.. (2017). Hopefully devoted to Q: targeting glutamine addiction in cancer. British Journal of Cancer. 116(11). 1375–1381. 101 indexed citations
16.
Sancho, Patricia, Emma Burgos‐Ramos, Alejandra Tavera-Tapia, et al.. (2015). MYC/PGC-1α Balance Determines the Metabolic Phenotype and Plasticity of Pancreatic Cancer Stem Cells. Cell Metabolism. 22(4). 590–605. 555 indexed citations breakdown →
17.
Wang, Bo, Shu‐Hao Hsu, Xinmei Wang, et al.. (2013). Reciprocal Regulation of MicroRNA-122 and c-Myc in Hepatocellular Cancer: Role of E2F1 and Transcription Factor Dimerization Partner 2. Hepatology. 59(2). 555–566. 97 indexed citations
18.
Timmerman, Luika, Thomas Holton, Mariia Yuneva, et al.. (2013). Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Target. Cancer Cell. 24(4). 450–465. 471 indexed citations breakdown →
19.
Yuneva, Mariia, Teresa W.‐M. Fan, Thaddeus D. Allen, et al.. (2012). The Metabolic Profile of Tumors Depends on Both the Responsible Genetic Lesion and Tissue Type. Cell Metabolism. 15(2). 157–170. 515 indexed citations breakdown →

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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