Éva Schád

2.7k citations
29 papers · 1.1k indexed · h-index 16
    • Protein Structure and Dynamics 10
    • RNA Research and Splicing 8
    • RNA modifications and cancer 6
    • Cancer-related gene regulation 5
    • RNA and protein synthesis mechanisms 5
    • Epigenetics and DNA Methylation 3
  • Cell Biology top 10%
    • Calpain Protease Function and Regulation 6
  • Biochemistry top 10%
  • Spectroscopy top 10%
    • Enzyme Structure and Function 5

Éva Schád

28 papers receiving 1.1k citations

Peers

Éva Schád
Comparison fields: 5 of 90
  • Molecular Biology 936
  • Cell Biology 177
  • Biochemistry 48
  • Spectroscopy 69
  • Materials Chemistry 172
Replace Charles A. Galea with:
Charles A. Galea United States
Markus Seiler Germany
C.H.S. Aylett United Kingdom
Raymond Mak United States
Alexander Miguel Monzón Italy
Jirka Peschek Germany
Agnieszka Lewandowska Poland
B. S. Negrutskii Ukraine
Jamie L. Kear‐Scott United States
Hédi Hegyi Hungary
Éva Schád relative to Charles A. Galea United States Charles A. Galea's profile →
Citations per field
00.5×2.8×
Charles A. Galea · 1×
Citations per year

Countries citing papers authored by Éva Schád

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Éva Schád Line = papers co-authored together Éva Schád links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20241
3 20240
4 20233
5 20232
6 20231
7 20225
8 2019138
9 201952
10 20186
11 2017142
12 201617
13 2015168
14 201315
15 2011155
16 200775
17 20033
18 200236
19 199647
20 199519

About Éva Schád

Éva Schád is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), RNA Research and Splicing (8 papers), Calpain Protease Function and Regulation (6 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (5 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (5 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (936 citations), Cell Biology (177 citations) and Biochemistry (48 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, Bálint Mészáros, Zsuzsanna Dosztányi, 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.

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