Vlatka Zoldoš
- Aging top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 22
- Genomics and Phylogenetic Studies 6
- CRISPR and Genetic Engineering 6
- Epigenetics and DNA Methylation 6
- Immunology top 10%
- Galectins and Cancer Biology 7
- Genetics top 5%
- Diabetes and associated disorders 5
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- Chromosomal and Genetic Variations 10
- Plant Disease Resistance and Genetics 7
- Co-authors
- Aleksandar VojtaGordan LaucMarija KlasićVanja TadićLuka BočkorPetra KoraćPaula DobrinićBoris Jülg
- Journals
- PLoS ONE (4 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (3 papers)Molecular Genetics and Genomics (2 papers)
- Partner nations
- CroatiaUnited StatesFrance
In The Last Decade
Vlatka Zoldoš
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 54
- Business and International Management 48
- Molecular Biology 1.5k
- Immunology 301
- Genetics 347
Countries citing papers authored by Vlatka Zoldoš
This map shows the geographic impact of Vlatka Zoldoš'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 Vlatka Zoldoš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vlatka Zoldoš more than expected).
Fields of papers citing papers by Vlatka Zoldoš
This network shows the impact of papers produced by Vlatka Zoldoš. 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 Vlatka Zoldoš. The network helps show where Vlatka Zoldoš may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vlatka Zoldoš, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 40 | |
| 8 | 2019 | 55 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 18 | |
| 11 | Repurposing the CRISPR-Cas9 system for targeted DNA methylationbreakdown → | 2016 | 554 |
| 12 | 2016 | 22 | |
| 13 | 2013 | 76 | |
| 14 | 2012 | 40 | |
| 15 | 2012 | 33 | |
| 16 | 2010 | 32 | |
| 17 | 2010 | 17 | |
| 18 | 2009 | 12 | |
| 19 | 2008 | 15 | |
| 20 | 2002 | 84 |
About Vlatka Zoldoš
Vlatka Zoldoš is a scholar working on Aging, Molecular Biology and Immunology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Chromosomal and Genetic Variations (10 papers), Plant Disease Resistance and Genetics (7 papers), Galectins and Cancer Biology (7 papers), Genomics and Phylogenetic Studies (6 papers), CRISPR and Genetic Engineering (6 papers), Epigenetics and DNA Methylation (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Aging (54 citations), Business and International Management (48 citations) and Molecular Biology (1.5k citations). Vlatka Zoldoš has collaborated with scholars based in Croatia, United States and France. Frequent co-authors include Aleksandar Vojta, Gordan Lauc, Marija Klasić, Vanja Tadić, Luka Bočkor, Petra Korać, Paula Dobrinić, Boris Jülg, Dražena Papeš and Sonja Šiljak-Yakovlev. Their work appears in journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - General Subjects, Molecular Genetics and Genomics, Clinical Epigenetics and Genome.
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.