Dorothea Tzvetkova‐Robev

676 total citations
7 papers, 508 citations indexed

About

Dorothea Tzvetkova‐Robev is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Dorothea Tzvetkova‐Robev has authored 7 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Computational Theory and Mathematics. Recurrent topics in Dorothea Tzvetkova‐Robev's work include Angiogenesis and VEGF in Cancer (4 papers), Axon Guidance and Neuronal Signaling (4 papers) and Glycosylation and Glycoproteins Research (1 paper). Dorothea Tzvetkova‐Robev is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Axon Guidance and Neuronal Signaling (4 papers) and Glycosylation and Glycoproteins Research (1 paper). Dorothea Tzvetkova‐Robev collaborates with scholars based in United States. Dorothea Tzvetkova‐Robev's co-authors include Dimitar B. Nikolov, William A. Barton, Juha P. Himanen, Momchil V. Kolev, Kanagalaghatta R. Rajashankar, T.C.M. Seegar, Kai Xu, Yan Xu, Scott C. Henderson and Marc Tessier‐Lavigne and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Dorothea Tzvetkova‐Robev

7 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorothea Tzvetkova‐Robev United States 7 355 176 86 78 58 7 508
Maria Zoudilova United States 7 442 1.2× 115 0.7× 41 0.5× 64 0.8× 53 0.9× 9 670
Hiroyuki Nambu Japan 18 700 2.0× 110 0.6× 70 0.8× 50 0.6× 80 1.4× 32 1.1k
Jiao‐Hui Wu United States 14 394 1.1× 116 0.7× 68 0.8× 44 0.6× 59 1.0× 18 504
Alicia Salcedo Spain 7 487 1.4× 169 1.0× 47 0.5× 48 0.6× 98 1.7× 8 604
Anna Lina Cavallo Italy 8 358 1.0× 54 0.3× 56 0.7× 26 0.3× 67 1.2× 9 507
Chie Naruse Japan 14 534 1.5× 135 0.8× 83 1.0× 20 0.3× 81 1.4× 23 710
Hirofumi Ishii Japan 5 220 0.6× 61 0.3× 54 0.6× 15 0.2× 38 0.7× 7 432
Hiromi Takanaga Japan 12 436 1.2× 75 0.4× 109 1.3× 29 0.4× 104 1.8× 16 619
Ute Laessing Germany 11 391 1.1× 173 1.0× 381 4.4× 172 2.2× 24 0.4× 15 735
Kazunori Yoshimura Japan 15 270 0.8× 64 0.4× 140 1.6× 31 0.4× 52 0.9× 41 621

Countries citing papers authored by Dorothea Tzvetkova‐Robev

Since Specialization
Citations

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

Fields of papers citing papers by Dorothea Tzvetkova‐Robev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dorothea Tzvetkova‐Robev. 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 Dorothea Tzvetkova‐Robev. The network helps show where Dorothea Tzvetkova‐Robev may publish in the future.

Co-authorship network of co-authors of Dorothea Tzvetkova‐Robev

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

All Works

7 of 7 papers shown
1.
Xu, Kai, Olav Olsen, Dorothea Tzvetkova‐Robev, Marc Tessier‐Lavigne, & Dimitar B. Nikolov. (2015). The crystal structure of DR6 in complex with the amyloid precursor protein provides insight into death receptor activation. Genes & Development. 29(8). 785–790. 20 indexed citations
2.
Xu, Kai, Zhuhao Wu, Nicolas Renier, et al.. (2014). Structures of netrin-1 bound to two receptors provide insight into its axon guidance mechanism. Science. 344(6189). 1275–1279. 129 indexed citations
3.
Xu, Kai, Dorothea Tzvetkova‐Robev, Yan Xu, et al.. (2013). Insights into Eph receptor tyrosine kinase activation from crystal structures of the EphA4 ectodomain and its complex with ephrin-A5. Proceedings of the National Academy of Sciences. 110(36). 14634–14639. 57 indexed citations
4.
Seegar, T.C.M., Annamarie C. Dalton, Dorothea Tzvetkova‐Robev, et al.. (2013). Structural basis for angiopoietin-1–mediated signaling initiation. Proceedings of the National Academy of Sciences. 110(18). 7205–7210. 47 indexed citations
5.
Seegar, T.C.M., Dorothea Tzvetkova‐Robev, Momchil V. Kolev, et al.. (2010). Tie1-Tie2 Interactions Mediate Functional Differences between Angiopoietin Ligands. Molecular Cell. 37(5). 643–655. 128 indexed citations
6.
Barton, William A., Dorothea Tzvetkova‐Robev, Hediye Erdjument‐Bromage, Paul Tempst, & Dimitar B. Nikolov. (2006). Highly efficient selenomethionine labeling of recombinant proteins produced in mammalian cells. Protein Science. 15(8). 2008–2013. 33 indexed citations
7.
Barton, William A., Dorothea Tzvetkova‐Robev, Momchil V. Kolev, et al.. (2006). Crystal structures of the Tie2 receptor ectodomain and the angiopoietin-2–Tie2 complex. Nature Structural & Molecular Biology. 13(6). 524–532. 94 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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