Ivan Đikić

299 papers and 41.8k indexed citations i.

About

Ivan Đikić is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Ivan Đikić has authored 299 papers receiving a total of 41.8k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Molecular Biology, 97 papers in Epidemiology and 82 papers in Cell Biology. Recurrent topics in Ivan Đikić’s work include Ubiquitin and proteasome pathways (116 papers), Autophagy in Disease and Therapy (92 papers) and Cellular transport and secretion (47 papers). Ivan Đikić is often cited by papers focused on Ubiquitin and proteasome pathways (116 papers), Autophagy in Disease and Therapy (92 papers) and Cellular transport and secretion (47 papers). Ivan Đikić collaborates with scholars based in Germany, United States and Croatia. Ivan Đikić's co-authors include Zvulun Elazar, Kaisa Haglund, Vladimir Kirkin, David G. McEwan, Joseph Schlessinger, Fumiyo Ikeda, Koraljka Husnjak, Doris Popovic, Alexandra Stolz and Daniela Hoeller and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

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

Fields of papers citing papers by Ivan Đikić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ivan Đikić

Since Specialization
Citations

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