Maja Mandić

20 papers and 473 indexed citations i.

About

Maja Mandić is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Maja Mandić has authored 20 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Maja Mandić’s work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (5 papers). Maja Mandić is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (5 papers). Maja Mandić collaborates with scholars based in United States, Serbia and Slovakia. Maja Mandić's co-authors include John M. Kirkwood, Hassane M. Zarour, Walter J. Storkus, Elieser Gorelik, Tatiana Raskovalova, Yunyun Su, Anna Lokshin, Edwin K. Jackson, Xiao‐Jun Huang and Stergios Moschos and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maja Mandić i

Fields of papers citing papers by Maja Mandić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Mandić

Since Specialization
Citations

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