Tanja Durbic

695 total citations
10 papers, 432 citations indexed

About

Tanja Durbic is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Tanja Durbic has authored 10 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Tanja Durbic's work include Fungal and yeast genetics research (5 papers), Genomics and Phylogenetic Studies (4 papers) and Genomics and Chromatin Dynamics (4 papers). Tanja Durbic is often cited by papers focused on Fungal and yeast genetics research (5 papers), Genomics and Phylogenetic Studies (4 papers) and Genomics and Chromatin Dynamics (4 papers). Tanja Durbic collaborates with scholars based in Canada, United States and Australia. Tanja Durbic's co-authors include Corey Nislow, Guri Giaever, Ulrich Braunschweig, Benjamin J. Blencowe, Brenda Andrews, Marinella Gebbia, Kyle Tsui, Lawrence E. Heisler, Christoph F. Kurat and Jeffrey Fillingham and has published in prestigious journals such as Nature Biotechnology, Molecular Cell and Journal of Bacteriology.

In The Last Decade

Tanja Durbic

10 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Durbic Canada 9 378 72 51 27 27 10 432
WenLian Xu United States 13 333 0.9× 76 1.1× 73 1.4× 16 0.6× 18 0.7× 17 424
Dorota Matelska Poland 14 345 0.9× 90 1.3× 40 0.8× 36 1.3× 19 0.7× 20 441
Dmitry Baitin Russia 12 303 0.8× 105 1.5× 15 0.3× 20 0.7× 15 0.6× 29 372
Stefanie H. Chen United States 9 491 1.3× 134 1.9× 30 0.6× 12 0.4× 14 0.5× 19 555
Paloma Juárez Spain 8 332 0.9× 62 0.9× 75 1.5× 29 1.1× 20 0.7× 12 437
Terry Brown United Kingdom 10 269 0.7× 51 0.7× 62 1.2× 31 1.1× 10 0.4× 14 361
Aviram Rasouly Israel 11 334 0.9× 166 2.3× 72 1.4× 21 0.8× 23 0.9× 17 436
Joel Brockman United States 5 372 1.0× 179 2.5× 40 0.8× 18 0.7× 21 0.8× 5 464
Diana Ideses Israel 10 275 0.7× 70 1.0× 42 0.8× 15 0.6× 77 2.9× 15 371
Devon R. Byrd United States 7 273 0.7× 155 2.2× 46 0.9× 18 0.7× 28 1.0× 7 360

Countries citing papers authored by Tanja Durbic

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Durbic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Durbic

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Durbic. A scholar is included among the top collaborators of Tanja Durbic 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 Tanja Durbic. Tanja Durbic 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.
Barutcu, A. Rasim, Mingkun Wu, Ulrich Braunschweig, et al.. (2022). Systematic mapping of nuclear domain-associated transcripts reveals speckles and lamina as hubs of functionally distinct retained introns. Molecular Cell. 82(5). 1035–1052.e9. 56 indexed citations
2.
Gonatopoulos-Pournatzis, Thomas, Michael Aregger, Kevin R. Brown, et al.. (2020). Genetic interaction mapping and exon-resolution functional genomics with a hybrid Cas9–Cas12a platform. Nature Biotechnology. 38(5). 638–648. 102 indexed citations
3.
Kurat, Christoph F., Judith Recht, Ernest Radovani, et al.. (2013). Regulation of histone gene transcription in yeast. Cellular and Molecular Life Sciences. 71(4). 599–613. 55 indexed citations
4.
Smith, Andrew, Tanja Durbic, Saranya Kittanakom, Guri Giaever, & Corey Nislow. (2012). Barcode Sequencing for Understanding Drug–Gene Interactions. Methods in molecular biology. 910. 55–69. 12 indexed citations
5.
Ammar, Ron, Dax Torti, Kyle Tsui, et al.. (2012). Chromatin is an ancient innovation conserved between Archaea and Eukarya. eLife. 1. e00078–e00078. 71 indexed citations
6.
Onodera, Naoko T., Julie Ryu, Tanja Durbic, et al.. (2012). Genome Sequence of Shigella flexneri Serotype 5a Strain M90T Sm. Journal of Bacteriology. 194(11). 3022–3022. 31 indexed citations
7.
Smith, Andrew, Sara Sharifpoor, Tanja Durbic, et al.. (2012). Functional Analysis With a Barcoder Yeast Gene Overexpression System. G3 Genes Genomes Genetics. 2(10). 1279–1289. 60 indexed citations
8.
Tsui, Kyle, Tanja Durbic, Marinella Gebbia, & Corey Nislow. (2011). Genomic Approaches for Determining Nucleosome Occupancy in Yeast. Methods in molecular biology. 833. 389–411. 6 indexed citations
9.
Smith, Andrew M., Tanja Durbic, Julia Oh, et al.. (2011). Competitive Genomic Screens of Barcoded Yeast Libraries. Journal of Visualized Experiments. 30 indexed citations
10.
Smith, Andrew, Tanja Durbic, Julia Oh, et al.. (2011). Competitive Genomic Screens of Barcoded Yeast Libraries. Journal of Visualized Experiments. 9 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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