Beáta Újvári

6.8k citations
211 papers · 5.2k · h-index 42

Impact in

Papers in

Beáta Újvári

205 papers receiving 5k citations

Peers

Beáta Újvári
Comparison fields: 5 of 144
  • Aging 187
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Parasitology 288
  • Genetics 1.1k
  • Global and Planetary Change 695
Replace Mathieu Giraudeau with:
Mathieu Giraudeau France
Rodrigo Hamede Australia
Tomislav Domazet‐Lošo Croatia
Katherine Belov Australia
Leonard Nunney United States
Thomas R. L. Madsen Australia
Michael Hiller Germany
Todd A. Castoe United States
Valeriu Ohan United Kingdom
Klaus‐Peter Koepfli United States
Beáta Újvári relative to Mathieu Giraudeau France Mathieu Giraudeau's profile →
Citations per field
00.5×2×4×7.0×
Mathieu Giraudeau · 1×
Citations per year

Countries citing papers authored by Beáta Újvári

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Beáta Újvári Line = papers co-authored together Beáta Újvári links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002233
2 2003233
3 2004185
4 2021149
5 2015123
6 2011108
7 200699
8 200482
9 202180
10 200777
11 200672
12 201772
13 200570
14 201870
15 202070
16 201769
17 201864
18 201861
19 201658
20 200457

About Beáta Újvári

Beáta Újvári is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Pulmonary and Respiratory Medicine, Cancer Research and Global and Planetary Change, having authored 211 papers that have together received 5.2k indexed citations. Recurring topics across this work include Veterinary Oncology Research (52 papers), Evolution and Genetic Dynamics (39 papers), Animal Behavior and Reproduction (39 papers), Amphibian and Reptile Biology (27 papers), Cancer Genomics and Diagnostics (27 papers), Genetic diversity and population structure (18 papers), Cancer Cells and Metastasis (14 papers) and Marine Invertebrate Physiology and Ecology (10 papers). The work is most often cited by research in Aging (187 citations), Ecology, Evolution, Behavior and Systematics (1.1k citations), Parasitology (288 citations), Genetics (1.1k citations) and Global and Planetary Change (695 citations). Beáta Újvári has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Thomas R. L. Madsen, Frédéric Thomas A, Mats M. Olsson, Erik Wapstra, Richard Shine, Katherine Belov, Mathieu Giraudeau, Antoine Marie Dujon, Benjamín Roche and Rodrigo Hamede. Their work appears in journals such as Evolutionary Applications, Evolution, Proceedings of the Royal Society B Biological Sciences, Scientific Reports and BioEssays.

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.

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