Éva Kovács
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 14
- Hippo pathway signaling and YAP/TAZ 7
- Immunology and Allergy top 1%
- Oceanography top 2%
- Marine and coastal plant biology 17
- Biochemistry top 2%
- Ecology top 2%
- Coral and Marine Ecosystems Studies 24
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- Marine and fisheries research 12
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- Wnt/β-catenin signaling in development and cancer 12
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- Tea Polyphenols and Effects 7
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- Lipoproteins and Cardiovascular Health 6
- Co-authors
- Alpha S. YapRadiya G. AliMargriet S. Westerterp‐PlantengaM P G M LejeuneSuzie VermaChris RoelfsemaStuart PhinnMitchell Lyons
- Partner nations
- AustraliaHungaryNetherlands
In The Last Decade
Éva Kovács
82 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 164
- Cell Biology 1.8k
- Immunology and Allergy 489
- Oceanography 508
- Biochemistry 211
- Ecology 790
Countries citing papers authored by Éva Kovács
This map shows the geographic impact of Éva Kovács'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 Éva Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Kovács more than expected).
Fields of papers citing papers by Éva Kovács
This network shows the impact of papers produced by Éva Kovács. 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 Éva Kovács. The network helps show where Éva Kovács may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éva Kovács, 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 | 2023 | 2 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 13 | |
| 4 | 2017 | 5 | |
| 5 | 2015 | 26 | |
| 6 | 2015 | 7 | |
| 7 | Improving seagrass mapping calibration and validation using an Autonomous Underwater Vehicle (AUV) | 2013 | 2 |
| 8 | 2011 | 26 | |
| 9 | 2009 | 155 | |
| 10 | 2008 | 11 | |
| 11 | 2006 | 3 | |
| 12 | 2005 | 103 | |
| 13 | 2005 | 243 | |
| 14 | Fluid Balance and Cycling Performance Following Dehydration and Rehydration with a Carbohydrate-Electrolyte Solution | 2004 | 2 |
| 15 | 2003 | 6 | |
| 16 | 2002 | 252 | |
| 17 | 2002 | 10 | |
| 18 | 2002 | 265 | |
| 19 | Effect of retinoids on LDL metabolism by macrophages | 2000 | 0 |
| 20 | 1999 | 6 |
About Éva Kovács
Éva Kovács is a scholar working on Oceanography, Cell Biology and Ecology, having authored 86 papers that have together received 4.6k indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (24 papers), Marine and coastal plant biology (17 papers), Cellular Mechanics and Interactions (14 papers), Marine and fisheries research (12 papers), Wnt/β-catenin signaling in development and cancer (12 papers), Tea Polyphenols and Effects (7 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Cell Biology (1.8k citations), Immunology and Allergy (489 citations) and Oceanography (508 citations). Éva Kovács has collaborated with scholars based in Australia, Hungary and Netherlands. Frequent co-authors include Alpha S. Yap, Radiya G. Ali, Margriet S. Westerterp‐Plantenga, M P G M Lejeune, Suzie Verma, Chris Roelfsema, Stuart Phinn, Mitchell Lyons, Andrew D. Paterson and Astrid Kraemer. Their work appears in journals such as Scientific Data, Nature Cell Biology, Remote Sensing, Remote Sensing Letters and Molecular Biology of the Cell.
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.