Éva Bulyáki
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Protein Structure and Dynamics
- Protein Interaction Studies and Fluorescence Analysis
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 1
- DNA Repair Mechanisms 1
- RNA and protein synthesis mechanisms 1
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- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- József Kardos (7 shared papers)András Micsonai (4 shared papers)Judit Kun (4 shared papers)Yuji Goto (2 shared papers)Matthieu Réfrégiers (1 shared paper)Éva Moussong (1 shared paper)Young‐Ho Lee (2 shared papers)Frank Wien (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (1 paper)Journal of Biological Chemistry (1 paper)Frontiers in Immunology (1 paper)Frontiers in Chemistry (1 paper)Biology (1 paper)
- Partner nations
- HungaryJapanSouth Korea
In The Last Decade
Éva Bulyáki
8 papers receiving 1.1k citations
Éva Bulyáki's Hit Papers
Peers
Comparison fields: 5 of 115
- Neurology 121
- Molecular Biology 636
- Microbiology 56
- Biological Psychiatry 20
- Biomaterials 93
Countries citing papers authored by Éva Bulyáki
This map shows the geographic impact of Éva Bulyáki'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 Bulyáki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Bulyáki more than expected).
Fields of papers citing papers by Éva Bulyáki
This network shows the impact of papers produced by Éva Bulyáki. 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 Bulyáki. The network helps show where Éva Bulyáki may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Bulyáki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra Hit paper breakdown → | 2018 | 846 |
| 2 | 2018 | 147 | |
| 3 | 2020 | 86 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 17 | |
| 6 | 2018 | 15 | |
| 7 | 2016 | 4 | |
| 8 | 2021 | 3 |
About Éva Bulyáki
Éva Bulyáki is a scholar working on Molecular Biology, Neurology, Materials Chemistry, Oncology and Physiology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Biomarkers in Disease Mechanisms (1 paper), DNA Repair Mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Neurology (121 citations), Molecular Biology (636 citations), Microbiology (56 citations), Biological Psychiatry (20 citations) and Biomaterials (93 citations). Éva Bulyáki has collaborated with scholars based in Hungary, Japan and South Korea. Frequent co-authors include József Kardos, András Micsonai, Judit Kun, Yuji Goto, Matthieu Réfrégiers, Éva Moussong, Young‐Ho Lee, Frank Wien, Balázs A. Györffy and György Török. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Biological Chemistry, Frontiers in Immunology, Frontiers in Chemistry and Biology.
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.