Nives Pećina‐Šlaus
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Co-authors
- Anja KafkaAnja BukovacIva SalamonDavor TomasReno HrašćanTamara Nikuševa MartićMario ŠlausSandra Bašić‐Kinda
- Topics
- Wnt/β-catenin signaling in development and cancer (20 papers)Cancer-related gene regulation (17 papers)Meningioma and schwannoma management (9 papers)
- Partner nations
- CroatiaUnited StatesDenmark
In The Last Decade
Nives Pećina‐Šlaus
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 810
- Oncology 298
- Cancer Research 261
- Epidemiology 165
- Pulmonary and Respiratory Medicine 149
Countries citing papers authored by Nives Pećina‐Šlaus
This map shows the geographic impact of Nives Pećina‐Šlaus'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 Nives Pećina‐Šlaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nives Pećina‐Šlaus more than expected).
Fields of papers citing papers by Nives Pećina‐Šlaus
This network shows the impact of papers produced by Nives Pećina‐Šlaus. 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 Nives Pećina‐Šlaus. The network helps show where Nives Pećina‐Šlaus may publish in the future.
Co-authorship network of co-authors of Nives Pećina‐Šlaus
This figure shows the co-authorship network connecting the top 25 collaborators of Nives Pećina‐Šlaus. A scholar is included among the top collaborators of Nives Pećina‐Šlaus 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 Nives Pećina‐Šlaus. Nives Pećina‐Šlaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 15 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | Histological groups of human postpubertal testicular germ cell tumours harbour different genetic alterations. | 9 |
| 8 | Optimal amplification conditions for D16S3399 polymorphic STS axin-1 gene marker | 1 |
| 9 | 35 | |
| 10 | 13 | |
| 11 | AXIN-1 protein expression and localization in glioblastoma. | 11 |
| 12 | 141 | |
| 13 | 5 | |
| 14 | 28 | |
| 15 | 18 | |
| 16 | 28 | |
| 17 | 17 | |
| 18 | 11 | |
| 19 | 13 | |
| 20 | 16 |
About Nives Pećina‐Šlaus
Nives Pećina‐Šlaus is a scholar working on Space and Planetary Science, Neurology and Genetics, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (20 papers), Cancer-related gene regulation (17 papers) and Meningioma and schwannoma management (9 papers). The work is most often cited by research in Cancer Research (261 citations), Molecular Biology (810 citations) and Oncology (298 citations). Nives Pećina‐Šlaus has collaborated with scholars based in Croatia, United States and Denmark. Frequent co-authors include Anja Kafka, Anja Bukovac, Iva Salamon, Davor Tomas, Reno Hrašćan, Tamara Nikuševa Martić, Mario Šlaus, Sandra Bašić‐Kinda, Hrvoje Ivan Pećina and Krešimir Pavelić. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Cancers.
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.