Ludmila Szabova

19 papers and 652 indexed citations i.

About

Ludmila Szabova is a scholar working on Cancer Research, Genetics and Molecular Biology. According to data from OpenAlex, Ludmila Szabova has authored 19 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 8 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Ludmila Szabova’s work include Ovarian cancer diagnosis and treatment (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Connective tissue disorders research (4 papers). Ludmila Szabova is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Connective tissue disorders research (4 papers). Ludmila Szabova collaborates with scholars based in United States, United Kingdom and Slovakia. Ludmila Szabova's co-authors include Kenn Holmbeck, Susan S. Yamada, Andrew Surmak, S S Yamada, Joanne Shi, Kaliopi Chrysovergis, Matthew P. Hoffman, Vadim Pedchenko, Christopher D. Myers and Ivan T. Rebustini and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Ludmila Szabova i

Fields of papers citing papers by Ludmila Szabova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ludmila Szabova

Since Specialization
Citations

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