Vanja Tadić
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 4
- RNA modifications and cancer 2
- Pluripotent Stem Cells Research 2
- Oncology 4
- Metal complexes synthesis and properties 2
- Co-authors
- Vlatka Zoldoš (5 shared papers)Aleksandar Vojta (5 shared papers)Marija Klasić (3 shared papers)Petra Korać (2 shared papers)Paula Dobrinić (2 shared papers)Luka Bočkor (2 shared papers)Boris Jülg (1 shared paper)Anamaria Brozović (6 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Methods (1 paper)The CRISPR Journal (1 paper)Biomolecules (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- CroatiaUnited StatesGermany
In The Last Decade
Vanja Tadić
12 papers receiving 688 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Aging 49
- Business and International Management 47
- Molecular Biology 628
- Genetics 143
- Virology 21
Countries citing papers authored by Vanja Tadić
This map shows the geographic impact of Vanja Tadić'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 Vanja Tadić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanja Tadić more than expected).
Fields of papers citing papers by Vanja Tadić
This network shows the impact of papers produced by Vanja Tadić. 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 Vanja Tadić. The network helps show where Vanja Tadić may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanja Tadić, 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 | Repurposing the CRISPR-Cas9 system for targeted DNA methylation Hit paper breakdown → | 2016 | 554 |
| 2 | 2019 | 55 | |
| 3 | 2019 | 42 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2016 | 1 |
About Vanja Tadić
Vanja Tadić is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pathology and Forensic Medicine and Physical and Theoretical Chemistry, having authored 12 papers that have together received 700 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA modifications and cancer (2 papers), Pluripotent Stem Cells Research (2 papers), Metal complexes synthesis and properties (2 papers), Ferrocene Chemistry and Applications (1 paper), MicroRNA in disease regulation (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (49 citations), Business and International Management (47 citations), Molecular Biology (628 citations), Genetics (143 citations) and Virology (21 citations). Vanja Tadić has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include Vlatka Zoldoš, Aleksandar Vojta, Marija Klasić, Petra Korać, Paula Dobrinić, Luka Bočkor, Boris Jülg, Anamaria Brozović, Wei Zhang and Gordan Lauc. Their work appears in journals such as Nucleic Acids Research, Methods, The CRISPR Journal, Biomolecules and Biomedicine & Pharmacotherapy.
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.