Jesse B. Owens

461 total citations
13 papers, 324 citations indexed

About

Jesse B. Owens is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jesse B. Owens has authored 13 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Jesse B. Owens's work include CRISPR and Genetic Engineering (9 papers), RNA Interference and Gene Delivery (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jesse B. Owens is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), RNA Interference and Gene Delivery (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jesse B. Owens collaborates with scholars based in United States, Japan and Switzerland. Jesse B. Owens's co-authors include Ilko Stoytchev, Stefan Moisyadi, Johann Urschitz, Joel Marh, David J. Segal, Zoia Stoytcheva, Hideaki Yamashiro, Paweł Pelczar, Ryuzo Yanagimachi and Craig J. Coates and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and American Journal Of Pathology.

In The Last Decade

Jesse B. Owens

13 papers receiving 320 citations

Peers

Jesse B. Owens
Jesse B. Owens
Citations per year, relative to Jesse B. Owens Jesse B. Owens (= 1×) peers Igor Fijałkowski

Countries citing papers authored by Jesse B. Owens

Since Specialization
Citations

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

Fields of papers citing papers by Jesse B. Owens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse B. Owens. 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 Jesse B. Owens. The network helps show where Jesse B. Owens may publish in the future.

Co-authorship network of co-authors of Jesse B. Owens

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

All Works

13 of 13 papers shown
1.
Stoytchev, Ilko, et al.. (2024). Directed evolution of hyperactive integrases for site specific insertion of transgenes. Nucleic Acids Research. 52(14). e64–e64. 11 indexed citations
2.
Donlon, Timothy A., Brian J. Morris, Kamal Masaki, et al.. (2022). FOXO3, a Resilience Gene: Impact on Lifespan, Healthspan, and Deathspan. The Journals of Gerontology Series A. 77(8). 1479–1484. 3 indexed citations
3.
Stoytchev, Ilko, et al.. (2019). RNA-guided piggyBac transposition in human cells. PubMed. 4(1). ysz018–ysz018. 30 indexed citations
4.
Pomozi, Viola, Christopher Brampton, Koen van de Wetering, et al.. (2017). Pyrophosphate Supplementation Prevents Chronic and Acute Calcification in ABCC6-Deficient Mice. American Journal Of Pathology. 187(6). 1258–1272. 62 indexed citations
5.
Johnson, Eric T., Jesse B. Owens, & Stefan Moisyadi. (2016). Vast potential for using the piggyBac transposon to engineer transgenic plants at specific genomic locations. Bioengineered. 7(1). 3–6. 1 indexed citations
6.
Davy, Philip, Kevin D. Lye, Juanita Mathews, et al.. (2015). Human adipose stem cell and ASC-derived cardiac progenitor cellular therapy improves outcomes in a murine model of myocardial infarction. PubMed. 8. 135–135. 9 indexed citations
7.
Garrels, Wiebke, Ana C. Liaudat, Romina J. Bevacqua, et al.. (2015). Establishment of cell-based transposon-mediated transgenesis in cattle. Theriogenology. 85(7). 1297–1311.e2. 11 indexed citations
8.
Owens, Jesse B., et al.. (2013). Effective Targeted Gene Knockdown in Mammalian Cells Using the piggyBac Transposase-based Delivery System. Molecular Therapy — Nucleic Acids. 2. e137–e137. 4 indexed citations
9.
Urschitz, Johann, et al.. (2013). Ultrasound Directs a Transposase System for Durable Hepatic Gene Delivery in Mice. Ultrasound in Medicine & Biology. 39(12). 2351–2361. 11 indexed citations
10.
Owens, Jesse B., Ilko Stoytchev, Mital S. Bhakta, et al.. (2013). Transcription activator like effector (TALE)-directed piggyBac transposition in human cells. Nucleic Acids Research. 41(19). 9197–9207. 47 indexed citations
11.
Owens, Jesse B., Johann Urschitz, Ilko Stoytchev, et al.. (2012). Chimeric piggyBac transposases for genomic targeting in human cells. Nucleic Acids Research. 40(14). 6978–6991. 44 indexed citations
12.
Marh, Joel, Zoia Stoytcheva, Johann Urschitz, et al.. (2012). Hyperactive self-inactivating piggyBac for transposase-enhanced pronuclear microinjection transgenesis. Proceedings of the National Academy of Sciences. 109(47). 19184–19189. 44 indexed citations
13.
Urschitz, Johann, Miyuri Kawasumi, Jesse B. Owens, et al.. (2010). Helper-independent piggyBac plasmids for gene delivery approaches: Strategies for avoiding potential genotoxic effects. Proceedings of the National Academy of Sciences. 107(18). 8117–8122. 47 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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