Davorka Breljak
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Nutrition and Dietetics top 5%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Ivan SabolićIvana VrhovacHrvoje BrzicaMarija LjubojevićCarol M. Herak–KrambergerMario ŠkaricaHermann KoepsellDaniela Balen
- Topics
- Ion Transport and Channel Regulation (13 papers)Drug Transport and Resistance Mechanisms (12 papers)Peptidase Inhibition and Analysis (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaNutrientsLife Sciences
In The Last Decade
Davorka Breljak
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 618
- Endocrinology, Diabetes and Metabolism 438
- Surgery 328
- Nutrition and Dietetics 282
- Health, Toxicology and Mutagenesis 258
Countries citing papers authored by Davorka Breljak
This map shows the geographic impact of Davorka Breljak'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 Davorka Breljak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davorka Breljak more than expected).
Fields of papers citing papers by Davorka Breljak
This network shows the impact of papers produced by Davorka Breljak. 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 Davorka Breljak. The network helps show where Davorka Breljak may publish in the future.
Co-authorship network of co-authors of Davorka Breljak
This figure shows the co-authorship network connecting the top 25 collaborators of Davorka Breljak. A scholar is included among the top collaborators of Davorka Breljak 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 Davorka Breljak. Davorka Breljak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 42 | |
| 6 | CFEX (Slc26a6) in rat kidneys, liver, and small intestine in an experimental model of oxalate nephrolitiasis | 1 |
| 7 | 74 | |
| 8 | Glucose transporters in the mammalian blood cells | 16 |
| 9 | 238 | |
| 10 | Are mice, rats, and rabbits good models for physiological, pharmacological and toxicological studies in humans? | 18 |
| 11 | 21 | |
| 12 | 242 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 142 | |
| 16 | 24 | |
| 17 | 88 | |
| 18 | Comparison of Three RT-PCR Based Methods for Relative Quantification of mRNA | 14 |
| 19 | 17 | |
| 20 | 26 |
About Davorka Breljak
Davorka Breljak is a scholar working on Aging, Nutrition and Dietetics and Oncology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (13 papers), Drug Transport and Resistance Mechanisms (12 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (438 citations), Nephrology (162 citations) and Health, Toxicology and Mutagenesis (258 citations). Davorka Breljak has collaborated with scholars based in Croatia, Germany and Japan. Frequent co-authors include Ivan Sabolić, Ivana Vrhovac, Hrvoje Brzica, Marija Ljubojević, Carol M. Herak–Kramberger, Mario Škarica, Hermann Koepsell, Daniela Balen, Naohiko Anzai and Christoph Sauvant. Their work appears in journals such as SHILAP Revista de lepidopterología, Nutrients and Life Sciences.
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.