Marija Matić
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Surgery
- Nutrition and Dietetics top 10%
- Reproductive Medicine top 10%
- Co-authors
- Tatjana SimićMarija Plješa-ErcegovacAna Savić-RadojevićTatjana DjukićVesna ĆorićJasmina Mimić-OkaTatjana PekmezovićSonja Šuvakov
- Topics
- Glutathione Transferases and Polymorphisms (40 papers)Genomics, phytochemicals, and oxidative stress (30 papers)Bladder and Urothelial Cancer Treatments (8 papers)
- Partner nations
- SerbiaUnited StatesAustralia
In The Last Decade
Marija Matić
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 646
- Cardiology and Cardiovascular Medicine 125
- Surgery 121
- Nutrition and Dietetics 113
- Reproductive Medicine 95
Countries citing papers authored by Marija Matić
This map shows the geographic impact of Marija Matić'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 Marija Matić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marija Matić more than expected).
Fields of papers citing papers by Marija Matić
This network shows the impact of papers produced by Marija Matić. 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 Marija Matić. The network helps show where Marija Matić may publish in the future.
Co-authorship network of co-authors of Marija Matić
This figure shows the co-authorship network connecting the top 25 collaborators of Marija Matić. A scholar is included among the top collaborators of Marija Matić 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 Marija Matić. Marija Matić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | Association between GPX1 and SOD2 genetic polymorphisms and overall survival in patients with metastatic urothelial bladder cancer: a single-center study in Serbia. | 10 |
| 14 | 18 | |
| 15 | 14 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 40 | |
| 20 | 22 |
About Marija Matić
Marija Matić is a scholar working on Molecular Biology, Clinical Biochemistry and Nutrition and Dietetics, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (40 papers), Genomics, phytochemicals, and oxidative stress (30 papers) and Bladder and Urothelial Cancer Treatments (8 papers). The work is most often cited by research in Reproductive Medicine (95 citations), Molecular Biology (646 citations) and Biochemistry (62 citations). Marija Matić has collaborated with scholars based in Serbia, United States and Australia. Frequent co-authors include Tatjana Simić, Marija Plješa-Ercegovac, Ana Savić-Radojević, Tatjana Djukić, Vesna Ćorić, Jasmina Mimić-Oka, Tatjana Pekmezović, Sonja Šuvakov, Tanja Radić and Dejan Dragičević. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular 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.