Éva Schád
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Cell Biology top 10%
- Calpain Protease Function and Regulation
Papers in
-
- RNA Research and Splicing 8
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- Signaling Pathways in Disease 3
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- Calpain Protease Function and Regulation 6
- Co-authors
- Péter Tompa (18 shared papers)Ágnes Tantos (16 shared papers)Hédi Hegyi (2 shared papers)Lajos Kalmár (4 shared papers)Rita Pancsa (4 shared papers)Zsuzsanna Dosztányi (3 shared papers)Bálint Mészáros (3 shared papers)Péter Friedrich (5 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Nucleic Acids Research (4 papers)Biochemical Journal (3 papers)Protein Science (2 papers)Biomolecules (2 papers)
- Partner nations
- HungaryBelgiumUnited Kingdom
In The Last Decade
Éva Schád
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 911
- Cell Biology 174
- Biochemistry 44
- Spectroscopy 63
- Genetics 94
Countries citing papers authored by Éva Schád
This map shows the geographic impact of Éva Schád'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 Éva Schád with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Schád more than expected).
Fields of papers citing papers by Éva Schád
This network shows the impact of papers produced by Éva Schád. 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 Éva Schád. The network helps show where Éva Schád may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Schád, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 168 | |
| 2 | 2011 | 159 | |
| 3 | 2017 | 142 | |
| 4 | 2019 | 142 | |
| 5 | 2007 | 75 | |
| 6 | 2017 | 63 | |
| 7 | 2019 | 51 | |
| 8 | 1996 | 47 | |
| 9 | 2022 | 36 | |
| 10 | 2002 | 36 | |
| 11 | 2002 | 19 | |
| 12 | 1995 | 19 | |
| 13 | 2016 | 18 | |
| 14 | 2004 | 17 | |
| 15 | 2013 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2025 | 11 | |
| 20 | 2018 | 7 |
About Éva Schád
Éva Schád is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Cellular and Molecular Neuroscience and Ecology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Protein Structure and Dynamics (7 papers), Calpain Protease Function and Regulation (6 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (5 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Molecular Biology (911 citations), Cell Biology (174 citations), Biochemistry (44 citations), Spectroscopy (63 citations) and Genetics (94 citations). Éva Schád has collaborated with scholars based in Hungary, Belgium and United Kingdom. Frequent co-authors include Péter Tompa, Ágnes Tantos, Hédi Hegyi, Lajos Kalmár, Rita Pancsa, Zsuzsanna Dosztányi, Bálint Mészáros, Péter Friedrich, Beáta Szabó and Tamás Horváth. Their work appears in journals such as International Journal of Molecular Sciences, Nucleic Acids Research, Biochemical Journal, Protein Science and Biomolecules.
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.