Katerina Konstantoulea

548 total citations
8 papers, 270 citations indexed

About

Katerina Konstantoulea is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Katerina Konstantoulea has authored 8 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Materials Chemistry. Recurrent topics in Katerina Konstantoulea's work include Prion Diseases and Protein Misfolding (4 papers), Protein Structure and Dynamics (4 papers) and Alzheimer's disease research and treatments (4 papers). Katerina Konstantoulea is often cited by papers focused on Prion Diseases and Protein Misfolding (4 papers), Protein Structure and Dynamics (4 papers) and Alzheimer's disease research and treatments (4 papers). Katerina Konstantoulea collaborates with scholars based in Belgium, Australia and Germany. Katerina Konstantoulea's co-authors include Frédéric Rousseau, Joost Schymkowitz, Nikolaos Louros, Meine Ramakers, Matthias De Vleeschouwer, Emiel Michiels, Bert Houben, Willie J. C. Geerts, Ina Vorberg and Luca Ferrari and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Katerina Konstantoulea

8 papers receiving 267 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katerina Konstantoulea Belgium 7 213 111 28 25 24 8 270
Ivan Haralampiev Germany 11 209 1.0× 84 0.8× 14 0.5× 17 0.7× 34 1.4× 19 338
Nadia El Mammeri United States 12 236 1.1× 162 1.5× 55 2.0× 20 0.8× 44 1.8× 19 404
Ujjayini Ghosh United States 9 267 1.3× 173 1.6× 35 1.3× 31 1.2× 23 1.0× 14 366
Mathias M. J. Bellaiche United States 7 224 1.1× 198 1.8× 26 0.9× 34 1.4× 13 0.5× 7 353
Emelie Wesén Sweden 8 207 1.0× 217 2.0× 23 0.8× 21 0.8× 35 1.5× 10 416
Binh A. Nguyen United States 7 180 0.8× 124 1.1× 24 0.9× 7 0.3× 28 1.2× 12 246
Maria‐Sol Cima‐Omori Germany 8 278 1.3× 90 0.8× 12 0.4× 13 0.5× 40 1.7× 10 371
Christopher Kazu Williams United States 9 151 0.7× 191 1.7× 30 1.1× 43 1.7× 84 3.5× 17 372
Phoebe S. Tsoi United States 8 320 1.5× 79 0.7× 22 0.8× 12 0.5× 68 2.8× 17 446
Roberto Maya‐Martinez United Kingdom 10 183 0.9× 162 1.5× 33 1.2× 14 0.6× 112 4.7× 14 346

Countries citing papers authored by Katerina Konstantoulea

Since Specialization
Citations

This map shows the geographic impact of Katerina Konstantoulea'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 Katerina Konstantoulea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katerina Konstantoulea more than expected).

Fields of papers citing papers by Katerina Konstantoulea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katerina Konstantoulea. 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 Katerina Konstantoulea. The network helps show where Katerina Konstantoulea may publish in the future.

Co-authorship network of co-authors of Katerina Konstantoulea

This figure shows the co-authorship network connecting the top 25 collaborators of Katerina Konstantoulea. A scholar is included among the top collaborators of Katerina Konstantoulea 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 Katerina Konstantoulea. Katerina Konstantoulea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Khodaparast, Laleh, Ladan Khodaparast, Guiqin Wu, et al.. (2025). Co-translational protein aggregation and ribosome stalling as a broad-spectrum antibacterial mechanism. Nature Communications. 16(1). 1561–1561. 1 indexed citations
2.
Louros, Nikolaos, Meine Ramakers, Emiel Michiels, et al.. (2022). Mapping the sequence specificity of heterotypic amyloid interactions enables the identification of aggregation modifiers. Nature Communications. 13(1). 1351–1351. 14 indexed citations
3.
Liu, Shu, Katerina Konstantoulea, Stephan A. Müller, et al.. (2021). Highly efficient intercellular spreading of protein misfolding mediated by viral ligand-receptor interactions. Nature Communications. 12(1). 5739–5739. 53 indexed citations
4.
Konstantoulea, Katerina, Patrícia Guerreiro, Meine Ramakers, et al.. (2021). Heterotypic Amyloid β interactions facilitate amyloid assembly and modify amyloid structure. The EMBO Journal. 41(2). e108591–e108591. 25 indexed citations
5.
Konstantoulea, Katerina, Nikolaos Louros, Frédéric Rousseau, & Joost Schymkowitz. (2021). Heterotypic interactions in amyloid function and disease. FEBS Journal. 289(8). 2025–2046. 21 indexed citations
6.
Ferrari, Luca, Riccardo Stucchi, Katerina Konstantoulea, et al.. (2020). Arginine π-stacking drives binding to fibrils of the Alzheimer protein Tau. Nature Communications. 11(1). 571–571. 44 indexed citations
7.
Houben, Bert, Emiel Michiels, Meine Ramakers, et al.. (2020). Autonomous aggregation suppression by acidic residues explains why chaperones favour basic residues. The EMBO Journal. 39(11). e102864–e102864. 32 indexed citations
8.
Louros, Nikolaos, Katerina Konstantoulea, Matthias De Vleeschouwer, et al.. (2019). WALTZ-DB 2.0: an updated database containing structural information of experimentally determined amyloid-forming peptides. Nucleic Acids Research. 48(D1). D389–D393. 80 indexed citations

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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