Angel Stanoev

474 total citations
13 papers, 291 citations indexed

About

Angel Stanoev is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Angel Stanoev has authored 13 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Angel Stanoev's work include Complex Network Analysis Techniques (3 papers), Gene Regulatory Network Analysis (2 papers) and Protein Tyrosine Phosphatases (2 papers). Angel Stanoev is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Gene Regulatory Network Analysis (2 papers) and Protein Tyrosine Phosphatases (2 papers). Angel Stanoev collaborates with scholars based in Germany, United States and North Macedonia. Angel Stanoev's co-authors include Ljupčo Kocarev, Aneta Koseska, Philippe I. H. Bastiaens, Yannick Brüggemann, Christian Schröter, Sonja Filiposka, Visarath In, Daniel Smilkov, Ola Sabet and Lisaweta Roßmannek and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE.

In The Last Decade

Angel Stanoev

13 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angel Stanoev Germany 10 141 63 56 47 47 13 291
Adrián Jacobo United States 11 103 0.7× 52 0.8× 17 0.3× 47 1.0× 26 0.6× 25 295
Noriko Hiroi Japan 12 245 1.7× 66 1.0× 26 0.5× 10 0.2× 41 0.9× 43 460
Jeremy Chang United States 8 132 0.9× 91 1.4× 62 1.1× 19 0.4× 25 0.5× 11 305
Mathias Luidor Heltberg Denmark 10 219 1.6× 18 0.3× 26 0.5× 39 0.8× 13 0.3× 23 336
Takashi Nakakuki Japan 11 396 2.8× 33 0.5× 55 1.0× 6 0.1× 15 0.3× 53 594
J. Krishnan United Kingdom 12 286 2.0× 81 1.3× 30 0.5× 13 0.3× 13 0.3× 42 401
Stefan Becker Germany 9 183 1.3× 35 0.6× 30 0.5× 4 0.1× 20 0.4× 24 325
Dongkwan Shin South Korea 12 183 1.3× 28 0.4× 29 0.5× 13 0.3× 6 0.1× 20 358
Thimo Rohlf Germany 9 257 1.8× 18 0.3× 13 0.2× 109 2.3× 27 0.6× 16 433

Countries citing papers authored by Angel Stanoev

Since Specialization
Citations

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

Fields of papers citing papers by Angel Stanoev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angel Stanoev

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

All Works

13 of 13 papers shown
1.
Stanoev, Angel, et al.. (2023). The EGFR phosphatase RPTPγ is a redox‐regulated suppressor of promigratory signaling. The EMBO Journal. 42(10). e111806–e111806. 7 indexed citations
2.
Stanoev, Angel & Aneta Koseska. (2022). Robust cell identity specifications through transitions in the collective state of growing developmental systems. Current Opinion in Systems Biology. 31. 100437–100437. 4 indexed citations
4.
Stanoev, Angel, Christian Schröter, & Aneta Koseska. (2021). Robustness and timing of cellular differentiation through population-based symmetry breaking. Development. 148(3). 20 indexed citations
5.
Brüggemann, Yannick, et al.. (2021). Growth factor–dependent ErbB vesicular dynamics couple receptor signaling to spatially and functionally distinct Erk pools. Science Signaling. 14(683). 16 indexed citations
6.
Stanoev, Angel, et al.. (2020). Organization at criticality enables processing of time‐varying signals by receptor networks. Molecular Systems Biology. 16(2). e8870–e8870. 17 indexed citations
7.
Stanoev, Angel, Klaus C. Schuermann, Hernán E. Grecco, et al.. (2018). Interdependence between EGFR and Phosphatases Spatially Established by Vesicular Dynamics Generates a Growth Factor Sensing and Responding Network. Cell Systems. 7(3). 295–309.e11. 36 indexed citations
8.
Konitsiotis, Antonios D., Lisaweta Roßmannek, Angel Stanoev, Malte Schmick, & Philippe I. H. Bastiaens. (2017). Spatial cycles mediated by UNC119 solubilisation maintain Src family kinases plasma membrane localisation. Nature Communications. 8(1). 114–114. 25 indexed citations
9.
Stanoev, Angel, Sonja Filiposka, Visarath In, & Ljupčo Kocarev. (2016). Cooperative method for wireless sensor network localization. Ad Hoc Networks. 40. 61–72. 40 indexed citations
10.
Sabet, Ola, et al.. (2015). Ubiquitination switches EphA2 vesicular traffic from a continuous safeguard to a finite signalling mode. Nature Communications. 6(1). 8047–8047. 49 indexed citations
11.
Stanoev, Angel, et al.. (2014). Modeling the Spread of Multiple Concurrent Contagions on Networks. PLoS ONE. 9(6). e95669–e95669. 18 indexed citations
12.
Stanoev, Angel, et al.. (2014). Discrete-time distributed consensus on multiplex networks. New Journal of Physics. 16(11). 113063–113063. 5 indexed citations
13.
Stanoev, Angel, Daniel Smilkov, & Ljupčo Kocarev. (2011). Identifying communities by influence dynamics in social networks. Physical Review E. 84(4). 46102–46102. 26 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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