Ágnes Ruzsa

About

Ágnes Ruzsa is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Ágnes Ruzsa has authored 9 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Ágnes Ruzsa’s work include Advanced Breast Cancer Therapies (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Head and Neck Cancer Studies (2 papers). Ágnes Ruzsa is often cited by papers focused on Advanced Breast Cancer Therapies (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Head and Neck Cancer Studies (2 papers). Ágnes Ruzsa collaborates with scholars based in Hungary, Belgium and Russia. Ágnes Ruzsa's co-authors include Paul M. Clément, Gábor Répássy, Tina Nielsen, Jean-Pascal Machiels, Igor Lifirenko, Per Soelberg Sørensen, Steen Lisby, Anna Székely, Katalin Varga and Mária Judit Molnár and has published in prestigious journals such as Journal of Clinical Oncology, The Lancet Oncology and Quality of Life Research.

In The Last Decade

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

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Fields of papers citing papers by Ágnes Ruzsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ágnes Ruzsa

Since Specialization

Citations

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