Gyöngyi Munkácsy
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 5
- Cancer, Hypoxia, and Metabolism 3
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 3
- Oncology top 5%
- Cancer Cells and Metastasis 3
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- Ferroptosis and cancer prognosis 2
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- Nutritional Studies and Diet 3
- Consumer Attitudes and Food Labeling 3
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- Virus-based gene therapy research 2
Gyöngyi Munkácsy
28 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 678
- Molecular Biology 1.2k
- Oncology 458
- Pulmonary and Respiratory Medicine 421
- Immunology 175
Countries citing papers authored by Gyöngyi Munkácsy
This map shows the geographic impact of Gyöngyi Munkácsy'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 Gyöngyi Munkácsy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyöngyi Munkácsy more than expected).
Fields of papers citing papers by Gyöngyi Munkácsy
This network shows the impact of papers produced by Gyöngyi Munkácsy. 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 Gyöngyi Munkácsy. The network helps show where Gyöngyi Munkácsy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gyöngyi Munkácsy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The role of the Mediterranean diet in reducing the risk of cognitive impairement, dementia, and Alzheimer’s disease: a meta-analysisbreakdown → | 2025 | 31 |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 7 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 9 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 2 | |
| 14 | Pancancer survival analysis of cancer hallmark genesbreakdown → | 2021 | 687 |
| 15 | 2020 | 8 | |
| 16 | 2016 | 9 | |
| 17 | miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patientsbreakdown → | 2016 | 585 |
| 18 | 2015 | 10 | |
| 19 | 2011 | 37 | |
| 20 | 2009 | 42 |
About Gyöngyi Munkácsy
Gyöngyi Munkácsy is a scholar working on Cancer Research, Oncology and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), RNA Interference and Gene Delivery (3 papers), Nutritional Studies and Diet (3 papers), Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Consumer Attitudes and Food Labeling (3 papers), Virus-based gene therapy research (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (678 citations), Molecular Biology (1.2k citations) and Oncology (458 citations). Gyöngyi Munkácsy has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Balázs Győrffy, Ádám Nagy, Libero Santarpia, Giulia Bottai, András Szabó, András Lánczky, Jan Budczies, Thomas Fleischer, Anne‐Lise Børresen‐Dale and Vessela N. Kristensen. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.