Szabina Fodor

17 papers and 869 indexed citations i.

About

Szabina Fodor is a scholar working on Immunology, Computational Theory and Mathematics and Immunology and Allergy. According to data from OpenAlex, Szabina Fodor has authored 17 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Computational Theory and Mathematics and 3 papers in Immunology and Allergy. Recurrent topics in Szabina Fodor’s work include Immune Response and Inflammation (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Matrix Theory and Algorithms (3 papers). Szabina Fodor is often cited by papers focused on Immune Response and Inflammation (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Matrix Theory and Algorithms (3 papers). Szabina Fodor collaborates with scholars based in Hungary and United States. Szabina Fodor's co-authors include Attila Mócsai, Krisztina Futosi, Zoltán Jakus, Clare L. Abram, Clifford A. Lowell, FS Collins, J. Hacia, Lawrence C. Brody, M. S. Chee and Andrea Kő and has published in prestigious journals such as The Journal of Immunology, Trends in Cell Biology and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Szabina Fodor i

Fields of papers citing papers by Szabina Fodor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Szabina Fodor

Since Specialization
Citations

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