Marina Pajic
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Andrew V. BiankinPaul TimpsonClaire VenninJos JonkersSven RottenbergPiet BorstAdnan NagrialVenessa Chin
- Topics
- Pancreatic and Hepatic Oncology Research (28 papers)Cancer Genomics and Diagnostics (13 papers)Neuroblastoma Research and Treatments (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Marina Pajic
63 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 102
- Oncology 1.5k
- Molecular Biology 1.1k
- Cancer Research 686
- Surgery 315
- Pulmonary and Respiratory Medicine 263
Countries citing papers authored by Marina Pajic
This map shows the geographic impact of Marina Pajic'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 Marina Pajic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Pajic more than expected).
Fields of papers citing papers by Marina Pajic
This network shows the impact of papers produced by Marina Pajic. 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 Marina Pajic. The network helps show where Marina Pajic may publish in the future.
Co-authorship network of co-authors of Marina Pajic
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Pajic. A scholar is included among the top collaborators of Marina Pajic 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 Marina Pajic. Marina Pajic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 18 | |
| 6 | 16 | |
| 7 | 57 | |
| 8 | 110 | |
| 9 | 20 | |
| 10 | 60 | |
| 11 | 26 | |
| 12 | 31 | |
| 13 | 67 | |
| 14 | 14 | |
| 15 | 8 | |
| 16 | 52 | |
| 17 | 66 | |
| 18 | 84 | |
| 19 | 77 | |
| 20 | Reversan, a novel inhibitor of MRP1, increases the therapeutic index of conventional chemotherapeutic agents | 1 |
About Marina Pajic
Marina Pajic is a scholar working on Oncology, Cancer Research and Neurology, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (28 papers), Cancer Genomics and Diagnostics (13 papers) and Neuroblastoma Research and Treatments (8 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (686 citations) and Molecular Biology (1.1k citations). Marina Pajic has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Andrew V. Biankin, Paul Timpson, Claire Vennin, Jos Jonkers, Sven Rottenberg, Piet Borst, Adnan Nagrial, Venessa Chin, David K. Chang and Anders O.H. Nygren. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.