Ágnes Nagy

42 papers and 273 indexed citations i.

About

Ágnes Nagy is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Ágnes Nagy has authored 42 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Genetics. Recurrent topics in Ágnes Nagy’s work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Hemophilia Treatment and Research (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Ágnes Nagy is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (6 papers), Hemophilia Treatment and Research (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Ágnes Nagy collaborates with scholars based in Hungary, United States and Germany. Ágnes Nagy's co-authors include L. Ferenczy, Csaba Vágvölgyi, Nandor Garamszegi, Tamás Papp, Hajna Losonczy, Péter Sótonyi, Toshiko Sawaguchi, Tamás Tényi, Béla Melegh and Miklós Pesti and has published in prestigious journals such as Blood, Social Science & Medicine and British Journal of Haematology.

In The Last Decade

Co-authorship network of co-authors of Ágnes Nagy i

Fields of papers citing papers by Ágnes Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ágnes Nagy

Since Specialization
Citations

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