Beáta Újvári
Impact in
- Aging top 2%
- Ecological Modeling top 2%
- Species Distribution and Climate Change
Papers in
- Co-authors
- Thomas Madsen (72 shared papers)Mats Olsson (25 shared papers)Frédéric Thomas (110 shared papers)Erik Wapstra (16 shared papers)Richard Shine (14 shared papers)Katherine Belov (16 shared papers)Mathieu Giraudeau (28 shared papers)Benjamín Roche (41 shared papers)
- Journals
- Evolutionary Applications (22 papers)Evolution (12 papers)Proceedings of the Royal Society B Biological Sciences (8 papers)Scientific Reports (7 papers)The Science of The Total Environment (7 papers)
- Partner nations
- AustraliaFranceUnited States
In The Last Decade
Beáta Újvári
192 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 152
- Aging 142
- Ecological Modeling 303
- Parasitology 406
- Ecology, Evolution, Behavior and Systematics 1.2k
- Global and Planetary Change 1.1k
Countries citing papers authored by Beáta Újvári
This map shows the geographic impact of Beáta Újvári'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 Beáta Újvári with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beáta Újvári more than expected).
Fields of papers citing papers by Beáta Újvári
This network shows the impact of papers produced by Beáta Újvári. 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 Beáta Újvári. The network helps show where Beáta Újvári may publish in the future.
Co-authors
The 25 scholars most cited alongside Beáta Újvári, 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 238 | |
| 2 | 2002 | 217 | |
| 3 | 2004 | 181 | |
| 4 | 2021 | 127 | |
| 5 | 2015 | 118 | |
| 6 | 2011 | 108 | |
| 7 | 2006 | 97 | |
| 8 | 2004 | 84 | |
| 9 | 2007 | 78 | |
| 10 | 2006 | 72 | |
| 11 | 2005 | 72 | |
| 12 | 2017 | 71 | |
| 13 | 2021 | 67 | |
| 14 | 2018 | 63 | |
| 15 | 2017 | 63 | |
| 16 | 2018 | 61 | |
| 17 | 2018 | 59 | |
| 18 | 2009 | 58 | |
| 19 | 2002 | 56 | |
| 20 | 2016 | 55 |
About Beáta Újvári
Beáta Újvári is a scholar working on Genetics, Ecology, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Molecular Biology, having authored 200 papers that have together received 5.0k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (33 papers), Amphibian and Reptile Biology (31 papers), Evolution and Genetic Dynamics (31 papers), Cancer Genomics and Diagnostics (28 papers), Wildlife Ecology and Conservation (25 papers), Veterinary Oncology Research (19 papers), Plant and animal studies (17 papers) and Genetic diversity and population structure (16 papers). The work is most often cited by research in Aging (142 citations), Ecological Modeling (303 citations), Parasitology (406 citations), Ecology, Evolution, Behavior and Systematics (1.2k citations) and Global and Planetary Change (1.1k citations). Beáta Újvári has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Thomas Madsen, Mats Olsson, Frédéric Thomas, Erik Wapstra, Richard Shine, Katherine Belov, Mathieu Giraudeau, Benjamín Roche, Antoine M. Dujon and Rodrigo Hamede. Their work appears in journals such as Evolutionary Applications, Evolution, Proceedings of the Royal Society B Biological Sciences, Scientific Reports and The Science of The Total Environment.
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.