Viktor Ambrus

522 total citations
10 papers, 331 citations indexed

About

Viktor Ambrus is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Viktor Ambrus has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Viktor Ambrus's work include Protein Structure and Dynamics (4 papers), HIV Research and Treatment (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Viktor Ambrus is often cited by papers focused on Protein Structure and Dynamics (4 papers), HIV Research and Treatment (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Viktor Ambrus collaborates with scholars based in Hungary, United Kingdom and Australia. Viktor Ambrus's co-authors include Mónika Fuxreiter, Michele Vendruscolo, Attila Horváth, Maarten C. Hardenberg, Márton Miskei, József Tőzsér, Gergő Kalló, Mohamed Mahdi, Miklós Emri and Éva Csősz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Viktor Ambrus

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Ambrus Hungary 6 286 32 28 25 24 10 331
Allana G. Iwanicki United States 2 499 1.7× 18 0.6× 45 1.6× 46 1.8× 19 0.8× 3 544
Cécilie Martin-Lemaitre Germany 5 214 0.7× 14 0.4× 22 0.8× 78 3.1× 6 0.3× 6 318
J Owen Andrews United States 5 621 2.2× 11 0.3× 19 0.7× 18 0.7× 14 0.6× 5 679
Rute Silva Portugal 3 290 1.0× 21 0.7× 34 1.2× 14 0.6× 31 1.3× 5 352
Witold Szymański Germany 9 303 1.1× 8 0.3× 16 0.6× 48 1.9× 8 0.3× 21 465
Nieves Lorenzo-Gotor Spain 5 389 1.4× 11 0.3× 19 0.7× 21 0.8× 24 1.0× 5 420
András Hatos Italy 6 276 1.0× 51 1.6× 15 0.5× 23 0.9× 5 0.2× 11 307
Jenny Jiou United States 6 364 1.3× 30 0.9× 14 0.5× 48 1.9× 84 3.5× 12 458
Michelle Y. Chan United States 5 202 0.7× 7 0.2× 13 0.5× 18 0.7× 81 3.4× 6 272
Kazunari Mouri Japan 4 267 0.9× 10 0.3× 41 1.5× 94 3.8× 5 0.2× 5 372

Countries citing papers authored by Viktor Ambrus

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Ambrus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Ambrus

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

All Works

10 of 10 papers shown
1.
Ambrus, Viktor, Gergő Kalló, Éva Csősz, et al.. (2023). Comparative Analysis of Differential Cellular Transcriptome and Proteome Regulation by HIV-1 and HIV-2 Pseudovirions in the Early Phase of Infection. International Journal of Molecular Sciences. 25(1). 380–380. 1 indexed citations
2.
Gönczi, Mónika, João M. C. Teixeira, Susana Barrera-Vilarmau, et al.. (2023). Alternatively spliced exon regulates context-dependent MEF2D higher-order assembly during myogenesis. Nature Communications. 14(1). 1329–1329. 9 indexed citations
3.
Ambrus, Viktor, et al.. (2022). Early suppression of antiviral host response and protocadherins by SARS-CoV-2 Spike protein in THP-1-derived macrophage-like cells. Frontiers in Immunology. 13. 999233–999233. 2 indexed citations
4.
Ambrus, Viktor, Gergő Kalló, Éva Csősz, et al.. (2021). Cellular Proteo-Transcriptomic Changes in the Immediate Early-Phase of Lentiviral Transduction. Microorganisms. 9(11). 2207–2207. 26 indexed citations
5.
Hardenberg, Maarten C., Attila Horváth, Viktor Ambrus, Mónika Fuxreiter, & Michele Vendruscolo. (2020). Widespread occurrence of the droplet state of proteins in the human proteome. Proceedings of the National Academy of Sciences. 117(52). 33254–33262. 232 indexed citations
6.
Horváth, Attila, Márton Miskei, Viktor Ambrus, Michele Vendruscolo, & Mónika Fuxreiter. (2020). Sequence-based prediction of protein binding mode landscapes. PLoS Computational Biology. 16(5). e1007864–e1007864. 43 indexed citations
7.
Ambrus, Viktor, et al.. (2020). Asymmetric dynamic coupling promotes alternative evolutionary pathways in an enzyme dimer. Scientific Reports. 10(1). 18866–18866. 2 indexed citations
8.
Ambrus, Viktor, et al.. (2019). Patterns of Dynamics Comprise a Conserved Evolutionary Trait. Journal of Molecular Biology. 432(2). 497–507. 8 indexed citations
9.
Sharma, Rashmi, Máté Demény, Viktor Ambrus, et al.. (2019). Specific and Fuzzy Interactions Cooperate in Modulating Protein Half-Life. Journal of Molecular Biology. 431(8). 1700–1707. 3 indexed citations
10.
Thangaraju, Kiruphagaran, Róbert Király, János András Mótyán, et al.. (2016). Computational analyses of the effect of novel amino acid clusters of human transglutaminase 2 on its structure and function. Amino Acids. 49(3). 605–614. 5 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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