Zsófia Szarvas
Impact in
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- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Climate Change and Health Impacts 3
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- Long-Term Effects of COVID-19 5
- Co-authors
- Vince Fazekas‐Pongor (12 shared papers)Mónika Fekete (12 shared papers)Stefano Tarantini (14 shared papers)Andrea Lehoczki (6 shared papers)Anna Péterfi (15 shared papers)Ágnes Fehér (6 shared papers)Janos Tamas Varga (7 shared papers)Tamás Csípő (4 shared papers)
- Journals
- GeroScience (9 papers)Nutrients (2 papers)Annals of Palliative Medicine (2 papers)PLoS ONE (2 papers)Archives of Gynecology and Obstetrics (1 paper)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Zsófia Szarvas
37 papers receiving 557 citations
Peers
Comparison fields: 5 of 87
- Neurology 55
- Aging 12
- Neurology 85
- Critical Care and Intensive Care Medicine 18
- Biological Psychiatry 9
Countries citing papers authored by Zsófia Szarvas
This map shows the geographic impact of Zsófia Szarvas'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 Zsófia Szarvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsófia Szarvas more than expected).
Fields of papers citing papers by Zsófia Szarvas
This network shows the impact of papers produced by Zsófia Szarvas. 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 Zsófia Szarvas. The network helps show where Zsófia Szarvas may publish in the future.
Co-authors
The 25 scholars most cited alongside Zsófia Szarvas, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2023 | 84 | |
| 3 | 2022 | 46 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 31 | |
| 6 | 2024 | 27 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 20 | |
| 11 | 2024 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2022 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2025 | 8 | |
| 19 | Endocrine factors in the etiology of endometrial carcinoma. | 1986 | 7 |
| 20 | 2022 | 5 |
About Zsófia Szarvas
Zsófia Szarvas is a scholar working on Health, Toxicology and Mutagenesis, Neurology, Physiology, Physical Therapy, Sports Therapy and Rehabilitation and Critical Care and Intensive Care Medicine, having authored 39 papers that have together received 571 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), Diet and metabolism studies (3 papers), Dietary Effects on Health (3 papers), Climate Change and Health Impacts (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Reproductive System and Pregnancy (2 papers), Balance, Gait, and Falls Prevention (2 papers) and Optical Imaging and Spectroscopy Techniques (2 papers). The work is most often cited by research in Neurology (55 citations), Aging (12 citations), Neurology (85 citations), Critical Care and Intensive Care Medicine (18 citations) and Biological Psychiatry (9 citations). Zsófia Szarvas has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Vince Fazekas‐Pongor, Mónika Fekete, Stefano Tarantini, Andrea Lehoczki, Anna Péterfi, Ágnes Fehér, Janos Tamas Varga, Tamás Csípő, Zoltan I. Ungvari and Anna Csiszár. Their work appears in journals such as GeroScience, Nutrients, Annals of Palliative Medicine, PLoS ONE and Archives of Gynecology and Obstetrics.
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.