Éva Moussong

1.6k total citations · 2 hit papers
7 papers, 1.1k citations indexed

About

Éva Moussong is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Éva Moussong has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Materials Chemistry. Recurrent topics in Éva Moussong's work include Protein Structure and Dynamics (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Molecular spectroscopy and chirality (3 papers). Éva Moussong is often cited by papers focused on Protein Structure and Dynamics (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Molecular spectroscopy and chirality (3 papers). Éva Moussong collaborates with scholars based in Hungary, France and Japan. Éva Moussong's co-authors include András Micsonai, József Kardos, Frank Wien, Matthieu Réfrégiers, Yuji Goto, Young‐Ho Lee, Judit Kun, Éva Bulyáki, Nikoletta Murvai and Ágnes Tantos and has published in prestigious journals such as Nucleic Acids Research, Biophysical Journal and Carbohydrate Polymers.

In The Last Decade

Éva Moussong

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra

2018 820 citations András Micsonai, Frank Wien et al. Nucleic Acids Research profile →
BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy

2022 237 citations András Micsonai, Éva Moussong et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Éva Moussong

Since Specialization

Citations

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

Fields of papers citing papers by Éva Moussong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Moussong

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Guide to the structural characterization of protein aggregates and amyloid fibrils by CD spectroscopy 2025 ·Protein Science ·József Kardos, (unknown), Éva Moussong, Frank Wien, Tamás Molnár, Nikoletta Murvai, (unknown), Henrietta Vadászi, Judit Kun, Frédéric Jamme, András Micsonai	11
2	Exceptional stability of the sugammadex-solasodine complex: Insights from experimental and theoretical studies 2024 ·Carbohydrate Polymers ·(unknown), (unknown), Béla Fiser, Babak Minofar, Éva Moussong, Milo Malanga, Andrea Bodor, József Kardos, Szabolcs Béni	3
3	Disordered-ordered protein binary classification by circular dichroism spectroscopy 2023 ·Biophysical Journal ·András Micsonai, Éva Moussong, Nikoletta Murvai, Ágnes Tantos, Orsolya Tőke, Matthieu Réfrégiers, Frank Wien, József Kardos	2
4	Bestsel: Updated webserver for secondary structure and fold prediction for protein CD spectroscopy 2023 ·Biophysical Journal ·András Micsonai, Éva Moussong, Frank Wien, Eszter Boros, Henrietta Vadászi, Nikoletta Murvai, Young Ho Lee, Tamás Molnár, Matthieu Réfrégiers, Yuji Goto, Ágnes Tantos, József Kardos	8
5	BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy breakdown → 2022 ·Nucleic Acids Research ·András Micsonai, Éva Moussong, Frank Wien, Eszter Boros, Henrietta Vadászi, Nikoletta Murvai, Young‐Ho Lee, Tamás Molnár, Matthieu Réfrégiers, Yuji Goto, Ágnes Tantos, József Kardos	237
6	Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy 2022 ·Frontiers in Molecular Biosciences ·András Micsonai, Éva Moussong, Nikoletta Murvai, Ágnes Tantos, Orsolya Tőke, Matthieu Réfrégiers, Frank Wien, József Kardos	41
7	BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra breakdown → 2018 ·Nucleic Acids Research ·András Micsonai, Frank Wien, Éva Bulyáki, Judit Kun, Éva Moussong, Young‐Ho Lee, Yuji Goto, Matthieu Réfrégiers, József Kardos	820

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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