Zsuzsa Ákos

1.5k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Zsuzsa Ákos is a scholar working on Ecology, Evolution, Behavior and Systematics, Cell Biology and Genetics. According to data from OpenAlex, Zsuzsa Ákos has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Zsuzsa Ákos's work include Animal Behavior and Reproduction (4 papers), Cellular Mechanics and Interactions (3 papers) and Developmental Biology and Gene Regulation (3 papers). Zsuzsa Ákos is often cited by papers focused on Animal Behavior and Reproduction (4 papers), Cellular Mechanics and Interactions (3 papers) and Developmental Biology and Gene Regulation (3 papers). Zsuzsa Ákos collaborates with scholars based in Hungary, United Kingdom and United States. Zsuzsa Ákos's co-authors include Tamás Vicsek, Máté Nagy, Dora Biro, Benjamin Pettit, Enikő Kubinyi, Robert E. Beck, Angelike Stathopoulos, Andrea Flack, Leslie Dunipace and Verena Ruprecht and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Cell Biology.

In The Last Decade

Zsuzsa Ákos

10 papers receiving 1.1k citations

Hit Papers

Hierarchical group dynamics in pigeon flocks 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zsuzsa Ákos Hungary 8 328 284 190 156 141 10 1.1k
Yael Katz United States 9 279 0.9× 293 1.0× 151 0.8× 110 0.7× 221 1.6× 15 1.5k
Kolbjørn Tunstrøm Sweden 8 309 0.9× 348 1.2× 163 0.9× 122 0.8× 185 1.3× 10 1.1k
Steven V. Viscido United States 10 310 0.9× 292 1.0× 160 0.8× 200 1.3× 99 0.7× 12 948
Máté Nagy Hungary 19 447 1.4× 465 1.6× 307 1.6× 240 1.5× 177 1.3× 33 1.8k
Hanno Hildenbrandt Netherlands 24 563 1.7× 347 1.2× 259 1.4× 590 3.8× 139 1.0× 40 1.9k
Jolyon J. Faria United Kingdom 12 515 1.6× 142 0.5× 208 1.1× 192 1.2× 84 0.6× 12 1.2k
T. M. Schaerf Australia 16 669 2.0× 174 0.6× 316 1.7× 207 1.3× 99 0.7× 46 1.2k
Stéphane Blanco France 18 329 1.0× 234 0.8× 291 1.5× 85 0.5× 210 1.5× 57 1.5k
José Halloy France 24 367 1.1× 469 1.7× 359 1.9× 119 0.8× 603 4.3× 68 2.2k
Fabio Stefanini Switzerland 15 159 0.5× 257 0.9× 146 0.8× 46 0.3× 187 1.3× 21 2.6k

Countries citing papers authored by Zsuzsa Ákos

Since Specialization
Citations

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

Fields of papers citing papers by Zsuzsa Ákos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsuzsa Ákos

This figure shows the co-authorship network connecting the top 25 collaborators of Zsuzsa Ákos. A scholar is included among the top collaborators of Zsuzsa Ákos 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 Zsuzsa Ákos. Zsuzsa Ákos 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.
Ákos, Zsuzsa, Leslie Dunipace, & Angelike Stathopoulos. (2021). NaNuTrap: a technique for in vivo cell nucleus labelling using nanobodies. Development. 148(18). 3 indexed citations
2.
Sun, Jingjing, et al.. (2020). Collective Migrations of Drosophila Embryonic Trunk and Caudal Mesoderm-Derived Muscle Precursor Cells. Genetics. 215(2). 297–322. 8 indexed citations
3.
Ákos, Zsuzsa, et al.. (2020). Viscoelastic Properties of ECM-Rich Embryonic Microenvironments. Frontiers in Cell and Developmental Biology. 8. 674–674. 3 indexed citations
4.
Dunipace, Leslie, Zsuzsa Ákos, & Angelike Stathopoulos. (2019). Coacting enhancers can have complementary functions within gene regulatory networks and promote canalization. PLoS Genetics. 15(12). e1008525–e1008525. 14 indexed citations
5.
Smutny, Michael, Zsuzsa Ákos, Silvia Grigolon, et al.. (2017). Friction forces position the neural anlage. Nature Cell Biology. 19(4). 306–317. 72 indexed citations
6.
Pettit, Benjamin, Zsuzsa Ákos, Tamás Vicsek, & Dora Biro. (2015). Speed Determines Leadership and Leadership Determines Learning during Pigeon Flocking. Current Biology. 25(23). 3132–3137. 95 indexed citations
7.
Ákos, Zsuzsa, Robert E. Beck, Máté Nagy, Tamás Vicsek, & Enikő Kubinyi. (2014). Leadership and Path Characteristics during Walks Are Linked to Dominance Order and Individual Traits in Dogs. PLoS Computational Biology. 10(1). e1003446–e1003446. 51 indexed citations
8.
Flack, Andrea, Zsuzsa Ákos, Máté Nagy, Tamás Vicsek, & Dora Biro. (2013). Robustness of flight leadership relations in pigeons. Animal Behaviour. 86(4). 723–732. 36 indexed citations
9.
Nagy, Máté, Zsuzsa Ákos, Dora Biro, & Tamás Vicsek. (2010). Hierarchical group dynamics in pigeon flocks. Nature. 464(7290). 890–893. 758 indexed citations breakdown →
10.
Ákos, Zsuzsa, Máté Nagy, & Tamás Vicsek. (2008). Comparing bird and human soaring strategies. Proceedings of the National Academy of Sciences. 105(11). 4139–4143. 50 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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