Anja van Brabant Smith

990 total citations
17 papers, 768 citations indexed

About

Anja van Brabant Smith is a scholar working on Molecular Biology, Genetics and Business and International Management. According to data from OpenAlex, Anja van Brabant Smith has authored 17 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Business and International Management. Recurrent topics in Anja van Brabant Smith's work include RNA Interference and Gene Delivery (11 papers), CRISPR and Genetic Engineering (10 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Anja van Brabant Smith is often cited by papers focused on RNA Interference and Gene Delivery (11 papers), CRISPR and Genetic Engineering (10 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Anja van Brabant Smith collaborates with scholars based in United States, Spain and Netherlands. Anja van Brabant Smith's co-authors include Melissa L. Kelley, Žaklina Strezoska, Annaleen Vermeulen, Amanda Birmingham, Stefan Wiemann, Veit Hornung, Emily M. Anderson, Rodolphe Barrangou, Roderick L. Beijersbergen and Kaizhang He and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Cellular Physiology.

In The Last Decade

Anja van Brabant Smith

17 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja van Brabant Smith United States 13 695 109 68 53 52 17 768
Matthew J. Schellenberg United States 19 1.2k 1.7× 85 0.8× 68 1.0× 31 0.6× 212 4.1× 34 1.2k
Yong-Sam Kim South Korea 17 988 1.4× 89 0.8× 65 1.0× 167 3.2× 73 1.4× 43 1.1k
Tony P. Huang United States 11 1.2k 1.7× 342 3.1× 20 0.3× 95 1.8× 59 1.1× 11 1.3k
Beverly Mok United States 5 1.0k 1.5× 211 1.9× 34 0.5× 95 1.8× 15 0.3× 6 1.1k
Douglas J. Dellinger United States 9 1.2k 1.7× 243 2.2× 27 0.4× 37 0.7× 130 2.5× 16 1.2k
Sabrina Shore United States 7 505 0.7× 72 0.7× 55 0.8× 18 0.3× 36 0.7× 8 620
Benjamin P. Roscoe United States 9 477 0.7× 178 1.6× 17 0.3× 23 0.4× 49 0.9× 9 541
Rachel J. Lew United States 9 273 0.4× 25 0.2× 26 0.4× 11 0.2× 33 0.6× 9 337
R. Anand United States 13 771 1.1× 108 1.0× 62 0.9× 143 2.7× 51 1.0× 16 826
Martin Pačesa Switzerland 11 383 0.6× 93 0.9× 15 0.2× 17 0.3× 54 1.0× 13 468

Countries citing papers authored by Anja van Brabant Smith

Since Specialization
Citations

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

Fields of papers citing papers by Anja van Brabant Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anja van Brabant Smith. 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 Anja van Brabant Smith. The network helps show where Anja van Brabant Smith may publish in the future.

Co-authorship network of co-authors of Anja van Brabant Smith

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

All Works

17 of 17 papers shown
1.
Riching, Andrew S., et al.. (2024). A Facile, Transfection‐Free Approach to siRNA Delivery in In Vitro 3D Spheroid Models. Current Protocols. 4(9). e1121–e1121. 1 indexed citations
2.
Riching, Andrew S., Jesse Stombaugh, Amanda Haupt, et al.. (2022). A Novel CRISPR Interference Effector Enabling Functional Gene Characterization with Synthetic Guide RNAs. The CRISPR Journal. 5(6). 769–786. 9 indexed citations
3.
Liu, Zhenyi, Elena Maksimova, Žaklina Strezoska, et al.. (2020). ErCas12a CRISPR-MAD7 for Model Generation in Human Cells, Mice, and Rats. The CRISPR Journal. 3(2). 97–108. 33 indexed citations
4.
Strezoska, Žaklina, Sarah M. Dickerson, Elena Maksimova, et al.. (2020). CRISPR-mediated transcriptional activation with synthetic guide RNA. Journal of Biotechnology. 319. 25–35. 14 indexed citations
5.
Novosjolova, Irina, Scott D. Kennedy, Martin Egli, et al.. (2018). A Single Amide Linkage in the Passenger Strand Suppresses Its Activity and Enhances Guide Strand Targeting of siRNAs. ACS Chemical Biology. 13(3). 533–536. 21 indexed citations
6.
Anderson, Emily M., Shawn McClelland, Elena Maksimova, et al.. (2018). Lactobacillus gasseri CRISPR-Cas9 characterization In Vitro reveals a flexible mode of protospacer-adjacent motif recognition. PLoS ONE. 13(2). e0192181–e0192181. 2 indexed citations
7.
Pallan, Pradeep S., Scott D. Kennedy, Martin Egli, et al.. (2017). Amide linkages mimic phosphates in RNA interactions with proteins and are well tolerated in the guide strand of short interfering RNAs. Nucleic Acids Research. 45(14). 8142–8155. 35 indexed citations
8.
9.
Strezoska, Žaklina, Elena Maksimova, Emily M. Anderson, et al.. (2017). High-content analysis screening for cell cycle regulators using arrayed synthetic crRNA libraries. Journal of Biotechnology. 251. 189–200. 19 indexed citations
10.
Kelley, Melissa L., Žaklina Strezoska, Kaizhang He, Annaleen Vermeulen, & Anja van Brabant Smith. (2016). Versatility of chemically synthesized guide RNAs for CRISPR-Cas9 genome editing. Journal of Biotechnology. 233. 74–83. 75 indexed citations
11.
He, Kaizhang, et al.. (2016). Conjugation and Evaluation of Triazole‐Linked Single Guide RNA for CRISPR‐Cas9 Gene Editing. ChemBioChem. 17(19). 1809–1812. 21 indexed citations
12.
Barrangou, Rodolphe, Amanda Birmingham, Stefan Wiemann, et al.. (2015). Advances in CRISPR-Cas9 genome engineering: lessons learned from RNA interference. Nucleic Acids Research. 43(7). 3407–3419. 125 indexed citations
13.
Stombaugh, Jesse, Abel Licon, Žaklina Strezoska, et al.. (2015). The Power Decoder Simulator for the Evaluation of Pooled shRNA Screen Performance. SLAS DISCOVERY. 20(8). 965–975. 2 indexed citations
14.
Anderson, Emily M., Amanda Haupt, Hidevaldo B. Machado, et al.. (2015). Systematic analysis of CRISPR–Cas9 mismatch tolerance reveals low levels of off-target activity. Journal of Biotechnology. 211. 56–65. 110 indexed citations
15.
Cuellar, Trinna, Dwight Barnes, Christopher A. Nelson, et al.. (2014). Systematic evaluation of antibody-mediated siRNA delivery using an industrial platform of THIOMAB–siRNA conjugates. Nucleic Acids Research. 43(2). 1189–1203. 167 indexed citations
16.
Strezoska, Žaklina, Abel Licon, Kruti M. Patel, et al.. (2012). Optimized PCR Conditions and Increased shRNA Fold Representation Improve Reproducibility of Pooled shRNA Screens. PLoS ONE. 7(8). e42341–e42341. 24 indexed citations
17.
Moroney, John W., Anja van Brabant Smith, Licia Tomei, & Charles E. Wenner. (1978). Stimulation of 86Rb+ and 32Pi movements in 3T3 cells by prostaglandins and phorbol esters. Journal of Cellular Physiology. 95(3). 287–294. 55 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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