Rok Sekirnik

1.2k total citations
27 papers, 792 citations indexed

About

Rok Sekirnik is a scholar working on Molecular Biology, Cancer Research and Inorganic Chemistry. According to data from OpenAlex, Rok Sekirnik has authored 27 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Inorganic Chemistry. Recurrent topics in Rok Sekirnik's work include RNA Interference and Gene Delivery (11 papers), Cancer, Hypoxia, and Metabolism (8 papers) and RNA and protein synthesis mechanisms (7 papers). Rok Sekirnik is often cited by papers focused on RNA Interference and Gene Delivery (11 papers), Cancer, Hypoxia, and Metabolism (8 papers) and RNA and protein synthesis mechanisms (7 papers). Rok Sekirnik collaborates with scholars based in United Kingdom, Slovenia and United States. Rok Sekirnik's co-authors include Christopher J. Schofield, Armin Thalhammer, Peter J. Ratcliffe, Benedikt M. Kessler, Wei Ge, Jasmin Mecinović, Nathan R. Rose, Aleš Štrancar, Christoph Loenarz and Matthew E. Cockman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Chemical Communications.

In The Last Decade

Rok Sekirnik

23 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rok Sekirnik United Kingdom 15 628 288 110 54 46 27 792
Sarah E. Wilkins United Kingdom 12 516 0.8× 352 1.2× 94 0.9× 54 1.0× 42 0.9× 14 767
Hanna Tarhonskaya United Kingdom 13 344 0.5× 245 0.9× 57 0.5× 54 1.0× 43 0.9× 19 573
Susan M. Medghalchi United States 13 1.0k 1.6× 473 1.6× 115 1.0× 8 0.1× 107 2.3× 17 1.3k
Candice Lamb United States 9 469 0.7× 220 0.8× 59 0.5× 12 0.2× 105 2.3× 12 782
Nikita D. Loik United Kingdom 10 320 0.5× 226 0.8× 61 0.6× 28 0.5× 50 1.1× 11 433
Johanna Paik United States 7 644 1.0× 69 0.2× 63 0.6× 15 0.3× 22 0.5× 8 715
Jens Köditz Germany 11 467 0.7× 315 1.1× 125 1.1× 8 0.1× 42 0.9× 21 681
Wenjing Shang China 14 556 0.9× 308 1.1× 17 0.2× 13 0.2× 13 0.3× 30 802
Ganka Bineva‐Todd United Kingdom 11 588 0.9× 42 0.1× 59 0.5× 14 0.3× 19 0.4× 15 805

Countries citing papers authored by Rok Sekirnik

Since Specialization
Citations

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

Fields of papers citing papers by Rok Sekirnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rok Sekirnik

This figure shows the co-authorship network connecting the top 25 collaborators of Rok Sekirnik. A scholar is included among the top collaborators of Rok Sekirnik 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 Rok Sekirnik. Rok Sekirnik 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.
Perković, Mario, et al.. (2025). Reverse-phase chromatography removes double-stranded RNA, fragments, and residual template to decrease immunogenicity and increase cell potency of mRNA and saRNA. Molecular Therapy — Nucleic Acids. 36(2). 102491–102491. 3 indexed citations
2.
Sekirnik, Rok, et al.. (2025). Optimization of <em>In vitro</em> Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring. Journal of Visualized Experiments. 1 indexed citations
3.
Černigoj, Urh, et al.. (2024). Selective hydrophobic interaction chromatography for high purity of supercoiled DNA plasmids. Biotechnology and Bioengineering. 121(5). 1739–1749. 4 indexed citations
4.
Pettersson, Fredrik, et al.. (2024). Quality by design approach to improve quality and decrease cost of in vitro transcription of mRNA using design of experiments. Biotechnology and Bioengineering. 121(11). 3415–3427. 9 indexed citations
5.
Calder, Ewen D. D., et al.. (2024). HPLC for at-line reaction monitoring and purification improves yield and purity of tRNA. Frontiers in Molecular Biosciences. 11. 1443917–1443917.
6.
Trontelj, Jurij, et al.. (2024). Determination of linearized pDNA template in mRNA production process using HPLC. Analytical and Bioanalytical Chemistry. 416(10). 2389–2398. 3 indexed citations
7.
Černigoj, Urh, et al.. (2023). Scalable multimodal weak anion exchange chromatographic purification for stable mRNA drug substance. Electrophoresis. 44(24). 1978–1988. 10 indexed citations
8.
Dolenc, Darko, et al.. (2023). High Recovery Chromatographic Purification of mRNA at Room Temperature and Neutral pH. International Journal of Molecular Sciences. 24(18). 14267–14267. 18 indexed citations
9.
Štrancar, Aleš, et al.. (2022). Increasing yield of in vitro transcription reaction with at‐line high pressure liquid chromatography monitoring. Biotechnology and Bioengineering. 120(3). 737–747. 34 indexed citations
11.
Mueller, Matthias, et al.. (2022). Gram‐Scale mRNA Production Using a 250‐mL Single‐Use Bioreactor. Chemie Ingenieur Technik. 94(12). 1928–1935. 27 indexed citations
12.
Gagnon, Pete, et al.. (2021). Chromatographic purification with CIMmultus™ Oligo dT increases mRNA stability. Cell and Gene Therapy Insights. 7(9). 1207–1216. 22 indexed citations
13.
Sekirnik, Rok, Sarah E. Wilkins, Jacob T. Bush, et al.. (2018). YcfDRM is a thermophilic oxygen-dependent ribosomal protein uL16 oxygenase. Extremophiles. 22(3). 553–562. 6 indexed citations
14.
Jabeen, Bushra, Rok Sekirnik, Naheed Riaz, et al.. (2015). The broad spectrum 2-oxoglutarate oxygenase inhibitor N-oxalylglycine is present in rhubarb and spinach leaves. Phytochemistry. 117. 456–461. 18 indexed citations
15.
Černigoj, Urh, et al.. (2015). Sample displacement chromatography of plasmid DNA isoforms. Journal of Chromatography A. 1414. 103–109. 11 indexed citations
16.
Thompson, Sam, Tawnya C. McKee, Mun Chiang Chan, et al.. (2014). Inhibition of the HIF1α-p300 interaction by quinone- and indandione-mediated ejection of structural Zn(II). European Journal of Medicinal Chemistry. 94. 509–516. 36 indexed citations
17.
Chowdhury, Rasheduzzaman, Rok Sekirnik, Nigel C. Brissett, et al.. (2014). Ribosomal oxygenases are structurally conserved from prokaryotes to humans. Nature. 510(7505). 422–426. 88 indexed citations
18.
Singleton, Rachelle S., Fabio Formenti, Wei Ge, et al.. (2014). OGFOD1 catalyzes prolyl hydroxylation of RPS23 and is involved in translation control and stress granule formation. Proceedings of the National Academy of Sciences. 111(11). 4031–4036. 98 indexed citations
19.
Sekirnik, Rok, Nathan R. Rose, Jasmin Mecinović, & Christopher J. Schofield. (2010). 2-Oxoglutarate oxygenases are inhibited by a range of transition metals. Metallomics. 2(6). 397–397. 28 indexed citations
20.
Sekirnik, Rok, Nathan R. Rose, Armin Thalhammer, et al.. (2009). Inhibition of the histone lysine demethylase JMJD2A by ejection of structural Zn(ii). Chemical Communications. 6376–6376. 72 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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