Iveta Petrova

549 total citations
9 papers, 168 citations indexed

About

Iveta Petrova is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Iveta Petrova has authored 9 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Iveta Petrova's work include Wnt/β-catenin signaling in development and cancer (5 papers), Developmental Biology and Gene Regulation (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). Iveta Petrova is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), Developmental Biology and Gene Regulation (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). Iveta Petrova collaborates with scholars based in Netherlands, United States and Germany. Iveta Petrova's co-authors include Lee G. Fradkin, Jasprina N. Noordermeer, Eka Lepsveridze, Mu Sun, Ivayla Apostolova, Alexander G. Nikonenko, Alexander Dityatev, Melitta Schachner, Andrey Irintchev and Joost Verhaagen and has published in prestigious journals such as Journal of Neuroscience, Molecular and Cellular Biology and The Plant Journal.

In The Last Decade

Iveta Petrova

8 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iveta Petrova Netherlands 7 89 82 25 23 22 9 168
Marcela Câmara Machado‐Costa Brazil 5 153 1.7× 40 0.5× 16 0.6× 34 1.5× 27 1.2× 8 210
Beatriz Freitas Brazil 6 99 1.1× 67 0.8× 27 1.1× 15 0.7× 10 0.5× 7 187
Qiubo Jiang Canada 5 95 1.1× 105 1.3× 31 1.2× 32 1.4× 40 1.8× 8 248
Maria D. Purice United States 4 109 1.2× 74 0.9× 13 0.5× 21 0.9× 16 0.7× 7 224
Afia Sultana United States 9 124 1.4× 69 0.8× 14 0.6× 24 1.0× 18 0.8× 13 300
Emilia Servián‐Morilla Spain 8 101 1.1× 61 0.7× 6 0.2× 22 1.0× 40 1.8× 14 143
Michiel R. Fokkens Netherlands 9 206 2.3× 176 2.1× 29 1.2× 17 0.7× 23 1.0× 11 312
Christel Wagner France 8 138 1.6× 27 0.3× 7 0.3× 18 0.8× 26 1.2× 13 205
Kathryn A. Elsegood United Kingdom 6 71 0.8× 43 0.5× 11 0.4× 11 0.5× 18 0.8× 8 164
Seung Woo Jung United States 5 257 2.9× 99 1.2× 68 2.7× 10 0.4× 9 0.4× 6 324

Countries citing papers authored by Iveta Petrova

Since Specialization
Citations

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

Fields of papers citing papers by Iveta Petrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iveta Petrova

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

All Works

9 of 9 papers shown
1.
Petrova, Iveta, Jan Skalák, Jan Hejátko, et al.. (2025). TRB proteins in moss reveal their evolutionarily conserved roles in plant development and telomere maintenance. The Plant Journal. 124(3). e70574–e70574.
2.
Liu, Tengyuan, Tingting Zhang, Heather C. Rice, et al.. (2021). The amyloid precursor protein is a conserved Wnt receptor. eLife. 10. 24 indexed citations
3.
Petrova, Iveta, et al.. (2018). DrosophilaRor is a nervous system-specific coreceptor for Wnt ligands. Biology Open. 7(11). 6 indexed citations
4.
Boulanger, Ana, et al.. (2015). Guidance of Drosophila Mushroom Body Axons Depends upon DRL-Wnt Receptor Cleavage in the Brain Dorsomedial Lineage Precursors. Cell Reports. 11(8). 1293–1304. 18 indexed citations
5.
Wu, Yuping, et al.. (2014). Wnt5 and Drl/Ryk Gradients Pattern theDrosophilaOlfactory Dendritic Map. Journal of Neuroscience. 34(45). 14961–14972. 10 indexed citations
6.
Petrova, Iveta, Martijn J. A. Malessy, Joost Verhaagen, Lee G. Fradkin, & Jasprina N. Noordermeer. (2013). Wnt Signaling through the Ror Receptor in the Nervous System. Molecular Neurobiology. 49(1). 303–315. 20 indexed citations
7.
Faletra, Francesco F., Giovanni Pedrazzini, Elena Pasotti, et al.. (2013). Role of real-time three dimensional transoesophageal echocardiography as guidance imaging modality during catheter based edge-to-edge mitral valve repair. Heart. 99(16). 1204–1215. 22 indexed citations
8.
Petrova, Iveta, Anja W. M. de Jong, Martijn J. A. Malessy, et al.. (2013). Homodimerization of the Wnt Receptor DERAILED Recruits the Src Family Kinase SRC64B. Molecular and Cellular Biology. 33(20). 4116–4127. 11 indexed citations
9.
Nikonenko, Alexander G., Mu Sun, Eka Lepsveridze, et al.. (2006). Enhanced perisomatic inhibition and impaired long‐term potentiation in the CA1 region of juvenile CHL1‐deficient mice. European Journal of Neuroscience. 23(7). 1839–1852. 57 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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