Burcu Bestas

676 total citations
11 papers, 170 citations indexed

About

Burcu Bestas is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Burcu Bestas has authored 11 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Genetics. Recurrent topics in Burcu Bestas's work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). Burcu Bestas is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). Burcu Bestas collaborates with scholars based in Sweden, United Kingdom and Egypt. Burcu Bestas's co-authors include Smith Rjh, Samir EL Andaloussi, Eman M. Zaghloul, Janne J. Turunen, Pedro M. D. Moreno, Anna Berglöf, K. Emelie M. Blomberg, Iulian I. Oprea, Karin E. Lundin and Jesper Wengel and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecules.

In The Last Decade

Burcu Bestas

11 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Burcu Bestas Sweden 9 141 22 22 20 17 11 170
Siddharth Shukla United States 7 416 3.0× 21 1.0× 15 0.7× 29 1.4× 9 0.5× 10 449
Ivon Harliwong Australia 3 92 0.7× 17 0.8× 8 0.4× 12 0.6× 4 0.2× 4 129
Garry P. Scarlett United Kingdom 8 136 1.0× 17 0.8× 10 0.5× 23 1.1× 3 0.2× 15 186
Fumito Wada Japan 12 293 2.1× 16 0.7× 8 0.4× 4 0.2× 15 0.9× 21 323
Ariane Watson Ireland 6 218 1.5× 29 1.3× 12 0.5× 6 0.3× 3 0.2× 7 244
Sarah Gharbi United Kingdom 6 207 1.5× 29 1.3× 22 1.0× 6 0.3× 3 0.2× 8 242
Alison D. Tang United States 4 255 1.8× 11 0.5× 14 0.6× 14 0.7× 2 0.1× 5 299
Wai-In Chan United Kingdom 5 81 0.6× 11 0.5× 23 1.0× 9 0.5× 4 0.2× 6 135
Haiyong Zhao China 8 280 2.0× 26 1.2× 20 0.9× 9 0.5× 3 0.2× 9 317
Kyle Ford United States 6 110 0.8× 12 0.5× 17 0.8× 5 0.3× 2 0.1× 12 158

Countries citing papers authored by Burcu Bestas

Since Specialization
Citations

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

Fields of papers citing papers by Burcu Bestas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burcu Bestas

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

All Works

11 of 11 papers shown
1.
Peterka, Martin, Nina Akrap, Songyuan Li, et al.. (2022). Harnessing DSB repair to promote efficient homology-dependent and -independent prime editing. Nature Communications. 13(1). 1240–1240. 33 indexed citations
2.
3.
Bestas, Burcu, Błażej A. Wojtczak, Pedro M. D. Moreno, et al.. (2016). Synthetic m3G-CAP attachment necessitates a minimum trinucleotide constituent to be recognised as a nuclear import signal. RSC Advances. 6(56). 51367–51373. 8 indexed citations
4.
Sork, Helena, Joel Z. Nordin, Janne J. Turunen, et al.. (2016). Lipid-based Transfection Reagents Exhibit Cryo-induced Increase in Transfection Efficiency. Molecular Therapy — Nucleic Acids. 5. e290–e290. 16 indexed citations
5.
Bestas, Burcu, Janne J. Turunen, K. Emelie M. Blomberg, et al.. (2015). Splice-Correction Strategies for Treatment of X-Linked Agammaglobulinemia. Current Allergy and Asthma Reports. 15(3). 510–510. 12 indexed citations
6.
Bestas, Burcu, Graham McClorey, Ulf Tedebark, et al.. (2014). Design and Application of Bispecific Splice-Switching Oligonucleotides. Nucleic Acid Therapeutics. 24(1). 13–24. 4 indexed citations
7.
Bestas, Burcu, Pedro M. D. Moreno, Jacek Jemielity, et al.. (2013). Synthesis and evaluation of stability of m3G-CAP analogues in serum-supplemented medium and cytosolic extract. Bioorganic & Medicinal Chemistry. 21(24). 7921–7928. 8 indexed citations
8.
Moreno, Pedro M. D., Eman M. Zaghloul, Iulian I. Oprea, et al.. (2013). Development of bis-locked nucleic acid (bisLNA) oligonucleotides for efficient invasion of supercoiled duplex DNA. Nucleic Acids Research. 41(5). 3257–3273. 24 indexed citations
9.
Berglöf, Anna, Janne J. Turunen, Olof Gissberg, et al.. (2013). Agammaglobulinemia: causative mutations and their implications for novel therapies. Expert Review of Clinical Immunology. 9(12). 1205–1221. 19 indexed citations
11.
Zaghloul, Eman M., Andreas S. Madsen, Pedro M. D. Moreno, et al.. (2010). Optimizing anti-gene oligonucleotide ‘Zorro-LNA’ for improved strand invasion into duplex DNA. Nucleic Acids Research. 39(3). 1142–1154. 27 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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