Timothy J. Dahlem

1.1k total citations
12 papers, 890 citations indexed

About

Timothy J. Dahlem is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Timothy J. Dahlem has authored 12 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Timothy J. Dahlem's work include CRISPR and Genetic Engineering (7 papers), RNA Research and Splicing (3 papers) and Molecular Biology Techniques and Applications (2 papers). Timothy J. Dahlem is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), RNA Research and Splicing (3 papers) and Molecular Biology Techniques and Applications (2 papers). Timothy J. Dahlem collaborates with scholars based in United States and Japan. Timothy J. Dahlem's co-authors include David J. Grunwald, Kazuyuki Hoshijima, Daniel F. Voytas, Colby G. Starker, Michael J. Jurynec, Allison M. Weis, Yu Hisano, Yasushi Okada, Michiko Muraki and Satoshi Ota and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and European Journal of Immunology.

In The Last Decade

Timothy J. Dahlem

12 papers receiving 883 citations

Peers

Timothy J. Dahlem
Dayalan G. Srinivasan United States
Juan Pablo Fernández United States
Emily K. Mis United States
Corina Schütt Switzerland
Jose-Maria Urbano United Kingdom
Dayalan G. Srinivasan United States
Timothy J. Dahlem
Citations per year, relative to Timothy J. Dahlem Timothy J. Dahlem (= 1×) peers Dayalan G. Srinivasan

Countries citing papers authored by Timothy J. Dahlem

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Dahlem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Dahlem. 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 Timothy J. Dahlem. The network helps show where Timothy J. Dahlem may publish in the future.

Co-authorship network of co-authors of Timothy J. Dahlem

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

All Works

12 of 12 papers shown
1.
Shankaran, Sunita S., Timothy J. Dahlem, Brent W. Bisgrove, H. Joseph Yost, & Martin Tristani‐Firouzi. (2017). CRISPR/Cas9‐Directed Gene Editing for the Generation of Loss‐of‐Function Mutants in High‐Throughput Zebrafish F0 Screens. Current Protocols in Molecular Biology. 119(1). 31.9.1–31.9.22. 20 indexed citations
2.
Wallace, Jared, Ruozhen Hu, Timothy L. Mosbruger, et al.. (2016). Genome-Wide CRISPR-Cas9 Screen Identifies MicroRNAs That Regulate Myeloid Leukemia Cell Growth. PLoS ONE. 11(4). e0153689–e0153689. 44 indexed citations
3.
Basu, S, Azadeh Aryan, Glady Hazitha Samuel, et al.. (2015). Silencing of end-joining repair for efficient site-specific gene insertion after TALEN/CRISPR mutagenesis inAedes aegypti. Proceedings of the National Academy of Sciences. 112(13). 4038–4043. 116 indexed citations
4.
Xing, Lingyan, et al.. (2014). Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis. Journal of Visualized Experiments. e51138–e51138. 22 indexed citations
5.
Xing, Lingyan, et al.. (2014). Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis. Journal of Visualized Experiments. 10 indexed citations
6.
Pioli, Peter D., et al.. (2013). Deletion of Snai2 and Snai3 Results in Impaired Physical Development Compounded by Lymphocyte Deficiency. PLoS ONE. 8(7). e69216–e69216. 20 indexed citations
7.
Hu, Ruozhen, Jared Wallace, Timothy J. Dahlem, David J. Grunwald, & Ryan M. O’Connell. (2013). Targeting Human MicroRNA Genes Using Engineered Tal-Effector Nucleases (TALENs). PLoS ONE. 8(5). e63074–e63074. 30 indexed citations
8.
Beumer, Kelly J., Jonathan K. Trautman, Michelle Christian, et al.. (2013). Comparing Zinc Finger Nucleases and Transcription Activator-Like Effector Nucleases for Gene Targeting in Drosophila. G3 Genes Genomes Genetics. 3(10). 1717–1725. 56 indexed citations
9.
Ota, Satoshi, Yu Hisano, Michiko Muraki, et al.. (2013). Efficient identification of TALEN‐mediated genome modifications using heteroduplex mobility assays. Genes to Cells. 18(6). 450–458. 181 indexed citations
10.
Dahlem, Timothy J., et al.. (2012). Overexpression of Snai3 suppresses lymphoid‐ and enhances myeloid‐cell differentiation. European Journal of Immunology. 42(4). 1038–1043. 11 indexed citations
11.
Dahlem, Timothy J., Kazuyuki Hoshijima, Michael J. Jurynec, et al.. (2012). Simple Methods for Generating and Detecting Locus-Specific Mutations Induced with TALENs in the Zebrafish Genome. PLoS Genetics. 8(8). e1002861–e1002861. 374 indexed citations
12.
Hale, J. Scott, et al.. (2006). Transcriptional control of Pactolus: evidence of a negative control region and comparison with its evolutionary paralogue, CD18 (β2 integrin). Journal of Leukocyte Biology. 80(2). 383–398. 6 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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