Ilza Pajeva

79 papers and 2.1k indexed citations i.

About

Ilza Pajeva is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Ilza Pajeva has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 30 papers in Computational Theory and Mathematics and 29 papers in Oncology. Recurrent topics in Ilza Pajeva’s work include Computational Drug Discovery Methods (30 papers), Drug Transport and Resistance Mechanisms (27 papers) and Cancer therapeutics and mechanisms (18 papers). Ilza Pajeva is often cited by papers focused on Computational Drug Discovery Methods (30 papers), Drug Transport and Resistance Mechanisms (27 papers) and Cancer therapeutics and mechanisms (18 papers). Ilza Pajeva collaborates with scholars based in Bulgaria, Germany and Italy. Ilza Pajeva's co-authors include Michael Wiese, Christoph Globisch, Ivanka Tsakovska, Petko Alov, Henrik Müller, Tania Pencheva, Sabrina Dallavalle, Elena Gazzano, Nace Zidar and Vladimir Dobričić and has published in prestigious journals such as Nucleic Acids Research, Journal of Medicinal Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Ilza Pajeva i

Fields of papers citing papers by Ilza Pajeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ilza Pajeva

Since Specialization
Citations

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