Ivan Matić

46 papers and 4.8k indexed citations i.

About

Ivan Matić is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ivan Matić has authored 46 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 20 papers in Oncology and 15 papers in Immunology. Recurrent topics in Ivan Matić’s work include PARP inhibition in cancer therapy (16 papers), Ubiquitin and proteasome pathways (14 papers) and Toxin Mechanisms and Immunotoxins (14 papers). Ivan Matić is often cited by papers focused on PARP inhibition in cancer therapy (16 papers), Ubiquitin and proteasome pathways (14 papers) and Toxin Mechanisms and Immunotoxins (14 papers). Ivan Matić collaborates with scholars based in Germany, United Kingdom and The Netherlands. Ivan Matić's co-authors include Matthias Mann, Ronald T. Hay, Ivan Ahel, Michael H. Tatham, Jürgen Cox, Thomas Colby, Juán José Bonfiglio, Roko Žaja, Maximiliane Hilger and Nagarjuna Nagaraj and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Ivan Matić i

Fields of papers citing papers by Ivan Matić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan 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 Ivan Matić. The network helps show where Ivan Matić may publish in the future.

Countries citing papers authored by Ivan Matić

Since Specialization
Citations

This map shows the geographic impact of Ivan 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 Ivan Matić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Matić more than expected).

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.

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