Gabriella Nagy

33 papers and 324 indexed citations i.

About

Gabriella Nagy is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Gabriella Nagy has authored 33 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Gabriella Nagy’s work include Systemic Sclerosis and Related Diseases (11 papers), Aortic Disease and Treatment Approaches (4 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). Gabriella Nagy is often cited by papers focused on Systemic Sclerosis and Related Diseases (11 papers), Aortic Disease and Treatment Approaches (4 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). Gabriella Nagy collaborates with scholars based in Hungary, United States and Switzerland. Gabriella Nagy's co-authors include László Czirják, Cecília Varjú, William C. Dement, Ellen L. Sutin, H. Craig Heller, Thomas S. Kilduff, Béla Melegh, Oliver Distler, Tünde Minier and Rucsandra Dobrotă and has published in prestigious journals such as The Lancet, Biophysical Journal and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Gabriella Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriella Nagy

Since Specialization
Citations

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