Katalin Uray
- Molecular Biology
- Immunology
- Radiology, Nuclear Medicine and Imaging top 10%
- Organic Chemistry
- Oncology
- Co-authors
- Ferenc HudeczRegina TugyiAlan C. PerkinsErzsébet FellingerZoltán ProhászkaMichael R. PriceGeorge FüstLászló Cervenak
- Topics
- Glycosylation and Glycoproteins Research (18 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)Chemical Synthesis and Analysis (11 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- HungaryUnited KingdomGermany
In The Last Decade
Katalin Uray
39 papers receiving 611 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 396
- Immunology 153
- Radiology, Nuclear Medicine and Imaging 135
- Organic Chemistry 72
- Oncology 64
Countries citing papers authored by Katalin Uray
This map shows the geographic impact of Katalin Uray'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 Katalin Uray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Uray more than expected).
Fields of papers citing papers by Katalin Uray
This network shows the impact of papers produced by Katalin Uray. 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 Katalin Uray. The network helps show where Katalin Uray may publish in the future.
Co-authorship network of co-authors of Katalin Uray
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Uray. A scholar is included among the top collaborators of Katalin Uray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katalin Uray. Katalin Uray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 28 | |
| 12 | 12 | |
| 13 | 14 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 12 | |
| 20 | 20 |
About Katalin Uray
Katalin Uray is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Molecular Biology, having authored 41 papers that have together received 620 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Chemical Synthesis and Analysis (11 papers). The work is most often cited by research in Immunology (153 citations), Microbiology (43 citations) and Radiology, Nuclear Medicine and Imaging (135 citations). Katalin Uray has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include Ferenc Hudecz, Regina Tugyi, Alan C. Perkins, Erzsébet Fellinger, Zoltán Prohászka, Michael R. Price, George Füst, László Cervenak, Gabriella Sármay and Miklós Hollósi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.