Slavica Matić
- Plant Science top 1%
- Cell Biology top 2%
- Molecular Biology
- Biotechnology top 2%
- Endocrinology top 2%
- Co-authors
- M. L. GullinoAngelo GaribaldiEmanuela NorisD. SpadaroSalvatore DavinoStefano PannoA. CarusoA. Myrta
- Topics
- Plant Pathogens and Fungal Diseases (64 papers)Plant Virus Research Studies (51 papers)Fungal Plant Pathogen Control (24 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyBosnia and HerzegovinaIran
In The Last Decade
Slavica Matić
134 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Plant Science 1.4k
- Cell Biology 544
- Molecular Biology 409
- Biotechnology 214
- Endocrinology 194
Countries citing papers authored by Slavica Matić
This map shows the geographic impact of Slavica 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 Slavica Matić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slavica Matić more than expected).
Fields of papers citing papers by Slavica Matić
This network shows the impact of papers produced by Slavica 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 Slavica Matić. The network helps show where Slavica Matić may publish in the future.
Co-authorship network of co-authors of Slavica Matić
This figure shows the co-authorship network connecting the top 25 collaborators of Slavica Matić. A scholar is included among the top collaborators of Slavica 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 Slavica Matić. Slavica 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 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | New microbial antagonists and thermotherapy as seed treatments against Fusarium fujikuroi on rice | 1 |
| 15 | Influence of light and temperature on expression of gene Fum1 and on production of fumonisin in three Fusarium species isolated from rice. | 1 |
| 16 | Detection by tissue printing hybridization of Pome fruit viroids in the mediterranean basin | 2 |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 4 |
About Slavica Matić
Slavica Matić is a scholar working on Endocrinology, Cell Biology and Plant Science, having authored 143 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (64 papers), Plant Virus Research Studies (51 papers) and Fungal Plant Pathogen Control (24 papers). The work is most often cited by research in Endocrinology (194 citations), Plant Science (1.4k citations) and Horticulture (33 citations). Slavica Matić has collaborated with scholars based in Italy, Bosnia and Herzegovina and Iran. Frequent co-authors include M. L. Gullino, Angelo Garibaldi, Emanuela Noris, D. Spadaro, Salvatore Davino, Stefano Panno, A. Caruso, A. Myrta, G. Gilardi and Sofia Bertacca. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.