Miloš Tanurdžić

4.9k total citations · 1 hit paper
39 papers, 2.9k citations indexed

About

Miloš Tanurdžić is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Miloš Tanurdžić has authored 39 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 25 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Miloš Tanurdžić's work include Plant Molecular Biology Research (23 papers), Plant nutrient uptake and metabolism (8 papers) and Genomics and Phylogenetic Studies (8 papers). Miloš Tanurdžić is often cited by papers focused on Plant Molecular Biology Research (23 papers), Plant nutrient uptake and metabolism (8 papers) and Genomics and Phylogenetic Studies (8 papers). Miloš Tanurdžić collaborates with scholars based in Australia, United States and France. Miloš Tanurdžić's co-authors include Robert A. Martienssen, Matthew Vaughn, R. Keith Slotkin, Filipe Borges, Jörg D. Becker, José A. Feijó, Gloria M. Coruzzi, Manpreet S. Katari, W. Richard McCombie and Federico Gaiti and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Miloš Tanurdžić

37 papers receiving 2.9k citations

Hit Papers

Epigenetic Reprogramming ... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miloš Tanurdžić Australia 24 2.4k 1.6k 266 223 96 39 2.9k
Corrinne E. Grover United States 31 2.0k 0.8× 1.3k 0.8× 423 1.6× 372 1.7× 23 0.2× 77 2.6k
Stefanie De Bodt Belgium 25 2.7k 1.1× 2.4k 1.5× 378 1.4× 160 0.7× 26 0.3× 28 3.5k
Richard Cooke France 34 3.0k 1.2× 2.3k 1.4× 449 1.7× 191 0.9× 68 0.7× 71 3.9k
Eshchar Mizrachi South Africa 20 1.5k 0.6× 1.5k 0.9× 399 1.5× 290 1.3× 37 0.4× 48 2.3k
Ortrun Mittelsten Scheid Austria 37 4.8k 2.0× 3.6k 2.2× 460 1.7× 247 1.1× 53 0.6× 71 5.5k
Yuannian Jiao China 23 2.5k 1.1× 2.0k 1.3× 612 2.3× 631 2.8× 30 0.3× 54 3.4k
Maike Stam Netherlands 25 2.5k 1.1× 2.3k 1.4× 383 1.4× 67 0.3× 49 0.5× 45 3.2k
Agnieszka A. Golicz Australia 24 1.9k 0.8× 1.2k 0.8× 740 2.8× 99 0.4× 71 0.7× 43 2.5k

Countries citing papers authored by Miloš Tanurdžić

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Tanurdžić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Tanurdžić

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

All Works

20 of 20 papers shown
1.
Kerr, Stephanie C., Lindsay M. Shaw, Miloš Tanurdžić, et al.. (2024). Advancing tree genomics to future proof next generation orchard production. Frontiers in Plant Science. 14. 1321555–1321555.
2.
Beveridge, Christine A., et al.. (2024). Strigolactone induces D14‐dependent large‐scale changes in gene expression requiring SWI/SNF chromatin remodellers. The Plant Journal. 119(3). 1526–1542. 6 indexed citations
4.
Kerr, Stephanie C., Peter J. Prentis, Miloš Tanurdžić, et al.. (2022). Horticultural innovation by viral-induced gene regulation of carotenogenesis. QUT ePrints (Queensland University of Technology). 6 indexed citations
5.
Borges, Filipe, Mark T.A. Donoghue, Chantal LeBlanc, et al.. (2020). Loss of Small-RNA-Directed DNA Methylation in the Plant Cell Cycle Promotes Germline Reprogramming and Somaclonal Variation. Current Biology. 31(3). 591–600.e4. 39 indexed citations
6.
Li, Ying, Matthew D. Brooks, Rachel M. McCoy, et al.. (2019). SDG8-Mediated Histone Methylation and RNA Processing Function in the Response to Nitrate Signaling. PLANT PHYSIOLOGY. 182(1). 215–227. 24 indexed citations
7.
Barbier, François, et al.. (2019). A phenol/chloroform-free method to extract nucleic acids from recalcitrant, woody tropical species for gene expression and sequencing. Plant Methods. 15(1). 62–62. 65 indexed citations
8.
9.
Arras, Samantha D. M., Kate L. Ormerod, Monica I. Espinosa, et al.. (2017). Convergent microevolution of Cryptococcus neoformans hypervirulence in the laboratory and the clinic. Scientific Reports. 7(1). 17918–17918. 32 indexed citations
10.
Arras, Samantha D. M., et al.. (2017). Sirtuins in the phylum Basidiomycota: A role in virulence in Cryptococcus neoformans. Scientific Reports. 7(1). 46567–46567. 19 indexed citations
11.
Gaiti, Federico, Andrew Calcino, Miloš Tanurdžić, & Bernard M. Degnan. (2016). Origin and evolution of the metazoan non-coding regulatory genome. Developmental Biology. 427(2). 193–202. 37 indexed citations
12.
Li, Ying, Indrani Mukherjee, Karen E. Thum, et al.. (2015). The histone methyltransferase SDG8 mediates the epigenetic modification of light and carbon responsive genes in plants. Genome Biology. 16(1). 79–79. 96 indexed citations
13.
Vidal, Elena A., Tomás C. Moyano, Gabriel Krouk, et al.. (2013). Integrated RNA-seq and sRNA-seq analysis identifies novel nitrate-responsive genes in Arabidopsis thaliana roots. BMC Genomics. 14(1). 701–701. 76 indexed citations
14.
Thiebaut, Flávia, Clícia Grativol, Cristian Antonio Rojas, et al.. (2012). Computational identification and analysis of novel sugarcane microRNAs. BMC Genomics. 13(1). 290–290. 55 indexed citations
15.
Gutiérrez, Rodrigo A., Trevor Stokes, Karen E. Thum, et al.. (2008). Systems approach identifies an organic nitrogen-responsive gene network that is regulated by the master clock control gene CCA1. Proceedings of the National Academy of Sciences. 105(12). 4939–4944. 291 indexed citations
16.
Martienssen, Robert A., Anna Kloc, R. Keith Slotkin, & Miloš Tanurdžić. (2008). Epigenetic Inheritance and Reprogramming in Plants and Fission Yeast. Cold Spring Harbor Symposia on Quantitative Biology. 73(0). 265–271. 30 indexed citations
17.
Vaughn, Matthew, Miloš Tanurdžić, Zachary B. Lippman, et al.. (2007). Epigenetic Natural Variation in Arabidopsis thaliana. PLoS Biology. 5(7). e174–e174. 311 indexed citations
18.
Vaughn, Matthew, Miloš Tanurdžić, & Rob Martienssen. (2005). Replication, Repair, and Reactivation. Developmental Cell. 9(6). 724–725. 3 indexed citations
19.
Wang, Wenming, Miloš Tanurdžić, Meizhong Luo, et al.. (2005). Construction of a bacterial artificial chromosome library from the spikemoss Selaginella moellendorffii: a new resource for plant comparative genomics. BMC Plant Biology. 5(1). 10–10. 51 indexed citations
20.
Weng, Jing‐Ke, Miloš Tanurdžić, & Clint Chapple. (2005). Functional analysis and comparative genomics of expressed sequence tags from the lycophyte Selaginella moellendorffii. BMC Genomics. 6(1). 85–85. 39 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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