Gábor Forrai

16 papers and 323 indexed citations i.

About

Gábor Forrai is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Gábor Forrai has authored 16 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cancer Research. Recurrent topics in Gábor Forrai’s work include Breast Lesions and Carcinomas (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Breast Cancer Treatment Studies (4 papers). Gábor Forrai is often cited by papers focused on Breast Lesions and Carcinomas (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Breast Cancer Treatment Studies (4 papers). Gábor Forrai collaborates with scholars based in Hungary, United Kingdom and Italy. Gábor Forrai's co-authors include Francesco Sardanelli, Julia Camps Herrero, Thomas H. Helbich, Paola Clauser, Eva Maria Fallenberg, Rubina Manuela Trimboli, János Fodor, Csaba Polgár, Michael Fuchsjäger and A. Somogyi and has published in prestigious journals such as Nature Medicine, The Journal of Urology and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Gábor Forrai i

Fields of papers citing papers by Gábor Forrai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gábor Forrai

Since Specialization
Citations

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