András Szilágyi

1.2k total citations
40 papers, 712 citations indexed

About

András Szilágyi is a scholar working on Molecular Biology, Genetics and Astronomy and Astrophysics. According to data from OpenAlex, András Szilágyi has authored 40 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Genetics and 16 papers in Astronomy and Astrophysics. Recurrent topics in András Szilágyi's work include Evolution and Genetic Dynamics (17 papers), Origins and Evolution of Life (16 papers) and Evolutionary Game Theory and Cooperation (10 papers). András Szilágyi is often cited by papers focused on Evolution and Genetic Dynamics (17 papers), Origins and Evolution of Life (16 papers) and Evolutionary Game Theory and Cooperation (10 papers). András Szilágyi collaborates with scholars based in Hungary, Spain and United Kingdom. András Szilágyi's co-authors include Eörs Szathmáry, Ádám Kun, Mauro Santos, Tamás Czárán, István Zachar, Francisco Bozinovic, Enrico L. Rezende, István Scheuring, Sijbren Otto and Gergely Boza and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

András Szilágyi

36 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
András Szilágyi Hungary 14 312 277 270 131 113 40 712
Ádám Kun Hungary 20 447 1.4× 357 1.3× 380 1.4× 169 1.3× 212 1.9× 48 1.3k
Vera Vasas United Kingdom 13 291 0.9× 287 1.0× 114 0.4× 115 0.9× 79 0.7× 21 701
Eric J. Hayden United States 16 804 2.6× 365 1.3× 376 1.4× 83 0.6× 77 0.7× 39 1.0k
Péter Szabó Hungary 12 115 0.4× 113 0.4× 226 0.8× 93 0.7× 203 1.8× 27 594
Martin Mahner Canada 10 147 0.5× 48 0.2× 126 0.5× 56 0.4× 94 0.8× 16 711
Eörs Szathmáry Hungary 7 549 1.8× 449 1.6× 549 2.0× 76 0.6× 338 3.0× 8 1.2k
Derek Caetano-Anollés United States 20 921 3.0× 129 0.5× 207 0.8× 160 1.2× 24 0.2× 26 1.2k
M. W. Ho United Kingdom 16 234 0.8× 77 0.3× 177 0.7× 22 0.2× 117 1.0× 27 864
Ingo Brigandt Canada 13 190 0.6× 62 0.2× 91 0.3× 21 0.2× 116 1.0× 46 638
Guenther Witzany Estonia 14 289 0.9× 147 0.5× 155 0.6× 109 0.8× 46 0.4× 33 557

Countries citing papers authored by András Szilágyi

Since Specialization
Citations

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

Fields of papers citing papers by András Szilágyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Szilágyi

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

All Works

20 of 20 papers shown
1.
Szilágyi, András, et al.. (2025). COVID-19 Vaccine-Associated Sensorineural Hearing Loss and Tinnitus. Cureus. 17(9). e93384–e93384.
2.
Szathmáry, Eörs, et al.. (2024). Kinetics and coexistence of autocatalytic reaction cycles. Scientific Reports. 14(1). 18441–18441.
3.
Szabó, Péter, et al.. (2024). A neural network-based model framework for cell-fate decisions and development. Communications Biology. 7(1). 323–323. 2 indexed citations
4.
Szilágyi, András, Tamás Czárán, Mauro Santos, & Eörs Szathmáry. (2023). Directional selection coupled with kin selection favors the establishment of senescence. BMC Biology. 21(1). 230–230. 5 indexed citations
5.
Rezende, Enrico L., Francisco Bozinovic, András Szilágyi, & Mauro Santos. (2020). Predicting temperature mortality and selection in natural Drosophila populations. Science. 369(6508). 1242–1245. 107 indexed citations
6.
Kun, Ádám, et al.. (2020). From self-replication to replicator systems en route to de novo life. Nature Reviews Chemistry. 4(8). 386–403. 128 indexed citations
7.
Szilágyi, András, Péter Szabó, Mauro Santos, & Eörs Szathmáry. (2020). Phenotypes to remember: Evolutionary developmental memory capacity and robustness. PLoS Computational Biology. 16(11). e1008425–e1008425. 13 indexed citations
8.
Scheuring, István & András Szilágyi. (2019). Diversity, stability, and evolvability in models of early evolution. Current Opinion in Systems Biology. 13. 115–121. 3 indexed citations
9.
Szilágyi, András, et al.. (2018). Variable Effect of HIV Superinfection on Clinical Status: Insights From Mathematical Modeling. Frontiers in Microbiology. 9. 1634–1634. 1 indexed citations
10.
Zachar, István, et al.. (2018). Moderate sex between protocells can balance between a decrease in assortment load and an increase in parasite spread. Journal of Theoretical Biology. 462. 304–310. 5 indexed citations
11.
Garay, József, et al.. (2018). Juvenile honest food solicitation and parental investment as a life history strategy: A kin demographic selection model. PLoS ONE. 13(3). e0193420–e0193420. 4 indexed citations
12.
Szilágyi, András, Gergely Boza, & István Scheuring. (2017). Analysis of stability to cheaters in models of antibiotic degrading microbial communities. Journal of Theoretical Biology. 423. 53–62. 11 indexed citations
13.
Fedor, Anna, István Zachar, András Szilágyi, et al.. (2017). Cognitive Architecture with Evolutionary Dynamics Solves Insight Problem. Frontiers in Psychology. 8. 427–427. 14 indexed citations
14.
Matsumura, Shigeyoshi, Ádám Kun, Michaël Ryckelynck, et al.. (2016). Transient compartmentalization of RNA replicators prevents extinction due to parasites. Science. 354(6317). 1293–1296. 100 indexed citations
15.
Szilágyi, András, et al.. (2015). In silico ribozyme evolution in a metabolically coupled RNA population. Biology Direct. 10(1). 30–30. 6 indexed citations
16.
Vasas, Vera, Chrisantha Fernando, András Szilágyi, et al.. (2015). Primordial evolvability: Impasses and challenges. Journal of Theoretical Biology. 381. 29–38. 16 indexed citations
17.
Szilágyi, András, Ádám Kun, & Eörs Szathmáry. (2014). Local Neutral Networks Help Maintain Inaccurately Replicating Ribozymes. PLoS ONE. 9(10). e109987–e109987. 10 indexed citations
18.
Szilágyi, András & Géza Meszéna. (2010). Coexistence in a fluctuating environment by the effect of relative nonlinearity: A minimal model. Journal of Theoretical Biology. 267(4). 502–512. 14 indexed citations
19.
Jordán, Ferenc, et al.. (2009). Overfishing and regime shifts in minimal food web models. Community Ecology. 10(2). 236–243. 5 indexed citations
20.
Balogh, Balázs, András Szilágyi, Klára Gyires, David B. Bylund, & Péter Mátyus. (2009). Molecular modelling of subtypes (α2A, α2B and α2C) of α2-adrenoceptors: A comparative study. Neurochemistry International. 55(6). 355–361. 15 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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