Nada Božina
- Pharmacology top 0.5%
- Oncology top 10%
- Psychiatry and Mental health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Co-authors
- Mila LovrićVlasta BradamanteMartina Rojnić KuzmanVesna MedvedMarina ŠagudAlma Mihaljević PelešLana GanociNikolina Jovanović
- Topics
- Pharmacogenetics and Drug Metabolism (24 papers)Drug Transport and Resistance Mechanisms (24 papers)Pharmacological Effects and Toxicity Studies (23 papers)
- Journals
- PLoS ONEGenePsychiatry Research
In The Last Decade
Nada Božina
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Pharmacology 482
- Oncology 423
- Psychiatry and Mental health 386
- Pediatrics, Perinatology and Child Health 355
- Molecular Biology 242
Countries citing papers authored by Nada Božina
This map shows the geographic impact of Nada Božina'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 Nada Božina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Božina more than expected).
Fields of papers citing papers by Nada Božina
This network shows the impact of papers produced by Nada Božina. 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 Nada Božina. The network helps show where Nada Božina may publish in the future.
Co-authorship network of co-authors of Nada Božina
This figure shows the co-authorship network connecting the top 25 collaborators of Nada Božina. A scholar is included among the top collaborators of Nada Božina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nada Božina. Nada Božina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 40 | |
| 14 | ABCB1 gene variants as predictors of multidrug- resistant epilepsy in Croatian population | 5 |
| 15 | 34 | |
| 16 | 36 | |
| 17 | 8 | |
| 18 | Serotonin transporter polymorphism in Croatian patients with major depressive disorder. | 14 |
| 19 | Genetic polymorphismes of Cytochromes P450: CYP2C9, CYP2C19 and MDR1 genes and their effect on phenytoin disposition | 1 |
| 20 | Genetic polymorphisms of cytochromes P450: CYP2C9, CYP2C19, and CYP2D6 in Croatian population. | 86 |
About Nada Božina
Nada Božina is a scholar working on Pharmacology, Transplantation and Psychiatry and Mental health, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (24 papers), Drug Transport and Resistance Mechanisms (24 papers) and Pharmacological Effects and Toxicity Studies (23 papers). The work is most often cited by research in Pharmacology (482 citations), Biological Psychiatry (76 citations) and Psychiatry and Mental health (386 citations). Nada Božina has collaborated with scholars based in Croatia, Slovenia and Germany. Frequent co-authors include Mila Lovrić, Vlasta Bradamante, Martina Rojnić Kuzman, Vesna Medved, Marina Šagud, Alma Mihaljević Peleš, Lana Ganoci, Nikolina Jovanović, Tamara Božina and Jadranka Sertić. Their work appears in journals such as PLoS ONE, Gene and Psychiatry Research.
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.