Mariia Yuneva
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 5%
- Biochemistry top 1%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Peter J. OefnerRavi SachidanandamNicola ZamboniYuri LazebnikRichard M. HigashiKatherine SellersJ. Michael BishopChunmei Wang
- Topics
- Cancer, Hypoxia, and Metabolism (18 papers)Metabolism, Diabetes, and Cancer (8 papers)Cancer-related Molecular Pathways (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Mariia Yuneva
24 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 2.6k
- Cancer Research 2.2k
- Oncology 701
- Biochemistry 347
- Pulmonary and Respiratory Medicine 268
Countries citing papers authored by Mariia Yuneva
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 100 | |
| 11 | 115 | |
| 12 | 57 | |
| 13 | 67 | |
| 14 | 48 | |
| 15 | 101 | |
| 16 | MYC/PGC-1α Balance Determines the Metabolic Phenotype and Plasticity of Pancreatic Cancer Stem Cellsbreakdown → | 555 |
| 17 | 97 | |
| 18 | Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Targetbreakdown → | 471 |
| 19 | The Metabolic Profile of Tumors Depends on Both the Responsible Genetic Lesion and Tissue Typebreakdown → | 515 |
| 20 | 58 |
About Mariia Yuneva
Mariia Yuneva is a scholar working on Cancer Research, Biotechnology and Biochemistry, having authored 26 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (18 papers), Metabolism, Diabetes, and Cancer (8 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (2.2k citations), Biochemistry (347 citations) and Molecular Biology (2.6k citations). Mariia Yuneva has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Peter J. Oefner, Ravi Sachidanandam, Nicola Zamboni, Yuri Lazebnik, Richard M. Higashi, Katherine Sellers, J. Michael Bishop, Chunmei Wang, Thaddeus D. Allen and Dana Ferraris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.