Maja Sedic

13 papers and 707 indexed citations i.

About

Maja Sedic is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Maja Sedic has authored 13 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Genetics. Recurrent topics in Maja Sedic’s work include Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (3 papers) and CRISPR and Genetic Engineering (2 papers). Maja Sedic is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (3 papers) and CRISPR and Genetic Engineering (2 papers). Maja Sedic collaborates with scholars based in United States, Spain and Germany. Maja Sedic's co-authors include Charlotte Kuperwasser, Patricia J. Keller, Piyush B. Gupta, Theresa A. Proia, Stephen P. Naber, Stuart J. Schnitt, Nadine Tung, Ina Klebba, Eric S. Lander and Hannah Gilmore and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Maja Sedic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Sedic

Since Specialization
Citations

This map shows the geographic impact of Maja Sedic'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 Sedic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Sedic 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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2025