Boris Troyanovsky

780 total citations
9 papers, 616 citations indexed

About

Boris Troyanovsky is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Boris Troyanovsky has authored 9 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Boris Troyanovsky's work include Hippo pathway signaling and YAP/TAZ (3 papers), Virus-based gene therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). Boris Troyanovsky is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), Virus-based gene therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). Boris Troyanovsky collaborates with scholars based in United States, Sweden and Ukraine. Boris Troyanovsky's co-authors include Lars Holmgren, Anders Bratt, Karin Aase, Erwin G. Van Meir, W.J. Wilson, Diego F. Alvarez, Silas J. Leavesley, Thomas C. Rich, Kane L. Schaphorst and Judy King and has published in prestigious journals such as The Journal of Cell Biology, Journal of Cell Science and Gene.

In The Last Decade

Boris Troyanovsky

9 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Troyanovsky United States 8 367 191 120 85 64 9 616
Hidenori Nonaka Japan 13 467 1.3× 348 1.8× 62 0.5× 151 1.8× 42 0.7× 21 1.0k
Faraz K. Mardakheh United Kingdom 17 687 1.9× 200 1.0× 172 1.4× 184 2.2× 28 0.4× 28 944
Youngdong Yoo United States 10 512 1.4× 297 1.6× 76 0.6× 90 1.1× 134 2.1× 10 719
Hoi-Ying Elsie Yu United States 10 221 0.6× 167 0.9× 114 0.9× 80 0.9× 39 0.6× 13 471
Laura Damiano Italy 6 303 0.8× 217 1.1× 156 1.3× 158 1.9× 105 1.6× 8 573
Lidija Pestic‐Dragovich United States 7 375 1.0× 143 0.7× 39 0.3× 90 1.1× 20 0.3× 8 558
Gisela Haemmerli Switzerland 14 198 0.5× 172 0.9× 88 0.7× 125 1.5× 71 1.1× 57 565
Elena Cavallaro Italy 9 559 1.5× 301 1.6× 50 0.4× 161 1.9× 61 1.0× 20 864
Cristèle Gilbert France 13 415 1.1× 167 0.9× 90 0.8× 86 1.0× 17 0.3× 23 676
Shauna Hegarty Ireland 11 324 0.9× 75 0.4× 238 2.0× 171 2.0× 48 0.8× 12 656

Countries citing papers authored by Boris Troyanovsky

Since Specialization
Citations

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

Fields of papers citing papers by Boris Troyanovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Troyanovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Troyanovsky. A scholar is included among the top collaborators of Boris Troyanovsky 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 Boris Troyanovsky. Boris Troyanovsky 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.
Troyanovsky, Boris, et al.. (2016). The Functionality of Minimal PiggyBac Transposons in Mammalian Cells. Molecular Therapy — Nucleic Acids. 5(10). e369–e369. 18 indexed citations
2.
Troyanovsky, Boris, et al.. (2015). Simple viral/minimal piggyBac hybrid vectors for stable production of self-inactivating gamma-retroviruses. BMC Research Notes. 8(1). 379–379. 3 indexed citations
3.
Leavesley, Silas J., et al.. (2011). Hyperspectral imaging microscopy for identification and quantitative analysis of fluorescently‐labeled cells in highly autofluorescent tissue. Journal of Biophotonics. 5(1). 67–84. 78 indexed citations
4.
Troyanovsky, Boris, Diego F. Alvarez, Judy King, & Kane L. Schaphorst. (2007). Thrombin enhances the barrier function of rat microvascular endothelium in a PAR-1-dependent manner. American Journal of Physiology-Lung Cellular and Molecular Physiology. 294(2). L266–L275. 26 indexed citations
5.
Aase, Karin, et al.. (2003). Loss of responsiveness to chemotactic factors by deletion of the C-terminal protein interaction site of angiomotin. Journal of Cell Science. 116(18). 3803–3810. 36 indexed citations
6.
Bratt, Anders, W.J. Wilson, Boris Troyanovsky, et al.. (2002). Angiomotin belongs to a novel protein family with conserved coiled-coil and PDZ binding domains. Gene. 298(1). 69–77. 116 indexed citations
7.
Troyanovsky, Boris, et al.. (2001). Angiomotin. The Journal of Cell Biology. 152(6). 1247–1254. 299 indexed citations
8.
Hu, Li, Boris Troyanovsky, Xin Zhang, et al.. (2000). Differences in the immunogenicity of latent membrane protein 1 (LMP1) encoded by Epstein-Barr virus genomes derived from LMP1-positive and -negative nasopharyngeal carcinoma.. PubMed. 60(19). 5589–93. 33 indexed citations
9.
Лукаш, Л. Л., et al.. (1989). Studies in possibility of expression of exogenic human insulin gene in cultured mammalian fibroblasts. Biopolymers and Cell. 5(2). 58–61. 7 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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