András Vida
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
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- Sirtuins and Resveratrol in Medicine 3
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- Antimicrobial Peptides and Activities 2
- Co-authors
- Péter Bai (13 shared papers)Edit Mikó (5 shared papers)Judit Márton (4 shared papers)Péter Antal‐Szalmás (4 shared papers)János Kappelmayer (2 shared papers)Tibor T. Glant (3 shared papers)Katalin Mikecz (3 shared papers)Tünde Zita Kovács (3 shared papers)
- Journals
- PLoS ONE (3 papers)Biochimica et Biophysica Acta (BBA) - Bioenergetics (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)Molecules (1 paper)Journal of Cancer (1 paper)
- Partner nations
- HungaryUnited StatesNetherlands
In The Last Decade
András Vida
23 papers receiving 874 citations
Peers
Comparison fields: 5 of 86
- Oncology 265
- Hepatology 64
- Geriatrics and Gerontology 25
- Immunology 147
- Molecular Biology 442
Countries citing papers authored by András Vida
This map shows the geographic impact of András Vida'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 András Vida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Vida more than expected).
Fields of papers citing papers by András Vida
This network shows the impact of papers produced by András Vida. 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 András Vida. The network helps show where András Vida may publish in the future.
Co-authors
The 25 scholars most cited alongside András Vida, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 182 | |
| 2 | 2019 | 154 | |
| 3 | 2011 | 89 | |
| 4 | 2016 | 56 | |
| 5 | 2014 | 49 | |
| 6 | 2018 | 45 | |
| 7 | 2017 | 42 | |
| 8 | 2014 | 36 | |
| 9 | 2016 | 29 | |
| 10 | 2019 | 29 | |
| 11 | 2013 | 28 | |
| 12 | 2016 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2017 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2017 | 8 | |
| 20 | 2011 | 5 |
About András Vida
András Vida is a scholar working on Geriatrics and Gerontology, Microbiology, Oncology, Immunology and Molecular Biology, having authored 24 papers that have together received 888 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), PARP inhibition in cancer therapy (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Immune cells in cancer (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Oncology (265 citations), Hepatology (64 citations), Geriatrics and Gerontology (25 citations), Immunology (147 citations) and Molecular Biology (442 citations). András Vida has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Péter Bai, Edit Mikó, Judit Márton, Péter Antal‐Szalmás, János Kappelmayer, Tibor T. Glant, Katalin Mikecz, Tünde Zita Kovács, Zoltán Szekanecz and Gyula Ujlaki. Their work appears in journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Molecules and Journal of Cancer.
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.