Željka Pezer
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
-
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Genomics and Chromatin Dynamics 5
- Advanced biosensing and bioanalysis techniques 2
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Congenital heart defects research 2
- CRISPR and Genetic Engineering 2
-
- Chromosomal and Genetic Variations 14
- Plant Virus Research Studies 2
- Co-authors
- Đurđica Ugarković (10 shared papers)Isidoro Feliciello (5 shared papers)Josip Brajković (3 shared papers)Bettina Harr (1 shared paper)Hiba Babiker (1 shared paper)Meike Teschke (1 shared paper)Diethard Tautz (1 shared paper)Dušan Kordiš (1 shared paper)
- Journals
- Genome Biology and Evolution (3 papers)G3 Genes Genomes Genetics (1 paper)BMC Biology (1 paper)Molecular Ecology (1 paper)RNA Biology (1 paper)
- Partner nations
- CroatiaItalyUnited States
In The Last Decade
Željka Pezer
14 papers receiving 323 citations
Peers
Comparison fields: 5 of 45
- Plant Science 231
- Molecular Biology 252
- Genetics 95
- Cancer Research 32
- Aging 2
Countries citing papers authored by Željka Pezer
This map shows the geographic impact of Željka Pezer'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 Željka Pezer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Željka Pezer more than expected).
Fields of papers citing papers by Željka Pezer
This network shows the impact of papers produced by Željka Pezer. 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 Željka Pezer. The network helps show where Željka Pezer may publish in the future.
Co-authors
The 15 scholars most cited alongside Željka Pezer, 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 | 2012 | 70 | |
| 2 | 2015 | 60 | |
| 3 | 2012 | 41 | |
| 4 | 2008 | 31 | |
| 5 | 2008 | 28 | |
| 6 | 2010 | 27 | |
| 7 | 2009 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Željka Pezer
Željka Pezer is a scholar working on Molecular Biology, Plant Science, Genetics, Paleontology and Cell Biology, having authored 16 papers that have together received 328 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (14 papers), Genomics and Chromatin Dynamics (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Plant Virus Research Studies (2 papers), Congenital heart defects research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (231 citations), Molecular Biology (252 citations), Genetics (95 citations), Cancer Research (32 citations) and Aging (2 citations). Željka Pezer has collaborated with scholars based in Croatia, Italy and United States. Frequent co-authors include Đurđica Ugarković, Isidoro Feliciello, Josip Brajković, Bettina Harr, Hiba Babiker, Meike Teschke, Diethard Tautz, Dušan Kordiš, Maja Matulić and Amanda G. Chung. Their work appears in journals such as Genome Biology and Evolution, G3 Genes Genomes Genetics, BMC Biology, Molecular Ecology and RNA Biology.
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.