Anna Ungvari
Impact in
Papers in
- Neurology 13
- Neurological Disease Mechanisms and Treatments 10
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Intracerebral and Subarachnoid Hemorrhage Research 5
- Physiology 18
- Telomeres, Telomerase, and Senescence 6
- Co-authors
- Zoltan I. Ungvari (47 shared papers)Stefano Tarantini (33 shared papers)Andriy Yabluchanskiy (31 shared papers)Anna Csiszár (31 shared papers)Ádám Nyúl‐Tóth (20 shared papers)Zoltán Benyó (17 shared papers)Péter Mukli (18 shared papers)Rafał Gulej (24 shared papers)
- Journals
- GeroScience (47 papers)Aging Cell (2 papers)Life (1 paper)Nutrients (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- United StatesHungaryItaly
In The Last Decade
Anna Ungvari
51 papers receiving 1.3k citations
Anna Ungvari's Hit Papers
Peers
Comparison fields: 5 of 87
- Neurology 273
- Aging 44
- Physiology 295
- Neurology 138
- Endocrine and Autonomic Systems 42
Countries citing papers authored by Anna Ungvari
This map shows the geographic impact of Anna Ungvari'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 Anna Ungvari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ungvari more than expected).
Fields of papers citing papers by Anna Ungvari
This network shows the impact of papers produced by Anna Ungvari. 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 Anna Ungvari. The network helps show where Anna Ungvari may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Ungvari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2021 | 88 | |
| 3 | 2023 | 84 | |
| 4 | 2023 | 71 | |
| 5 | The role of the Mediterranean diet in reducing the risk of cognitive impairement, dementia, and Alzheimer’s disease: a meta-analysis Hit paper breakdown → | 2025 | 67 |
| 6 | 2019 | 63 | |
| 7 | 2021 | 62 | |
| 8 | 2024 | 56 | |
| 9 | 2022 | 55 | |
| 10 | 2020 | 50 | |
| 11 | 2021 | 49 | |
| 12 | 2024 | 48 | |
| 13 | 2022 | 39 | |
| 14 | 2024 | 28 | |
| 15 | 2022 | 25 | |
| 16 | 2024 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2023 | 24 | |
| 19 | 2025 | 23 | |
| 20 | 2025 | 22 |
About Anna Ungvari
Anna Ungvari is a scholar working on Neurology, Physiology, Neurology, Pulmonary and Respiratory Medicine and Genetics, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (10 papers), Cancer-related cognitive impairment studies (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Nutritional Studies and Diet (5 papers), Single-cell and spatial transcriptomics (5 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Neurology (273 citations), Aging (44 citations), Physiology (295 citations), Neurology (138 citations) and Endocrine and Autonomic Systems (42 citations). Anna Ungvari has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Zoltan I. Ungvari, Stefano Tarantini, Andriy Yabluchanskiy, Anna Csiszár, Ádám Nyúl‐Tóth, Zoltán Benyó, Péter Mukli, Rafał Gulej, Priya S. Balasubramanian and Mónika Fekete. Their work appears in journals such as GeroScience, Aging Cell, Life, Nutrients and Frontiers in Endocrinology.
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.