HUN-REN Szegedi Biológiai Kutatóközpont

3.8k papers and 126.3k indexed citations i.

About

In recent decades, authors affiliated with HUN-REN Szegedi Biológiai Kutatóközpont have published 3.8k papers, which have received a total of 126.3k indexed citations. Scholars at this organization have produced 2.2k papers in Molecular Biology, 847 papers in Plant Science and 615 papers in Cellular and Molecular Neuroscience on the topics of Photosynthetic Processes and Mechanisms (603 papers), Photoreceptor and optogenetics research (246 papers) and Plant Molecular Biology Research (216 papers). Their work is cited by papers focused on Molecular Biology (69.2k citations), Plant Science (42.6k citations) and Cellular and Molecular Neuroscience (13.6k citations). Authors at HUN-REN Szegedi Biológiai Kutatóközpont collaborate with scholars in Hungary, United States and Germany and have published in prestigious journals including Nature, Science and Cell. Some of HUN-REN Szegedi Biológiai Kutatóközpont's most productive authors include László Szabados, Arnould Savouré, Csaba Koncz, Ferenc Nagy, Attila Fehér, Jeff Schell, Imre Vass, Mária A. Deli, László Vı́gh and Zsuzsanna Izsvák.

In The Last Decade

Fields of papers published by authors at HUN-REN Szegedi Biológiai Kutatóközpont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with HUN-REN Szegedi Biológiai Kutatóközpont at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with HUN-REN Szegedi Biológiai Kutatóközpont at the time of their publication.

Countries citing scholars working at HUN-REN Szegedi Biológiai Kutatóközpont

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at HUN-REN Szegedi Biológiai Kutatóközpont. 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 papers produced at HUN-REN Szegedi Biológiai Kutatóközpont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HUN-REN Szegedi Biológiai Kutatóközpont 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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