Jason J. Klein

1.2k total citations · 1 hit paper
8 papers, 939 citations indexed

About

Jason J. Klein is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Jason J. Klein has authored 8 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Jason J. Klein's work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Virus-based gene therapy research (2 papers). Jason J. Klein is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Virus-based gene therapy research (2 papers). Jason J. Klein collaborates with scholars based in United States, Switzerland and Germany. Jason J. Klein's co-authors include Darren H. Wakefield, David B. Rozema, David L. Lewis, Qili Chu, Jon A. Wolff, So C. Wong, Andrei V. Blokhin, P. Roesch, Stephanie Bertin and James E. Hagstrom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Controlled Release and Molecular Therapy.

In The Last Decade

Jason J. Klein

8 papers receiving 891 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamic PolyConjugates for targeted in vivo delivery of siRNA to hepatocytes

2007 523 citations David B. Rozema, David L. Lewis et al. Proceedings of the National Academy of Sciences profile →

Peers

Jason J. Klein

MB

CR

EPIDE

GENET

BIOMA

Darren H. Wakefield United States

Keith Bowman United States

Liu Liang Qin China

Nicholas M. Snead United States

Heini Ilves United States

Ellen Ambegia Canada

Duckhyang Shin South Korea

T. Akaike Japan

Shinichiro Nakagawa Japan

Yukikazu Natori Japan

Darren H. Wakefield United States

Jason J. Klein

842 ×1.0

MB

218 ×1.1

CR

149 ×1.0

EPIDE

145 ×1.0

GENET

88 ×1.0

BIOMA

Citations per year, relative to Jason J. Klein Jason J. Klein (= 1×) peers Darren H. Wakefield

Countries citing papers authored by Jason J. Klein

Since Specialization

Citations

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

Fields of papers citing papers by Jason J. Klein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason J. Klein

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

All Works

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8 of 8 papers shown

1.

Rozema, David B., Andrei V. Blokhin, Darren H. Wakefield, et al.. (2015). Protease-triggered siRNA delivery vehicles. Journal of Controlled Release. 209. 57–66. 31 indexed citations

2.

Wooddell, Christine I., David B. Rozema, Markus Hoßbach, et al.. (2013). Hepatocyte-targeted RNAi Therapeutics for the Treatment of Chronic Hepatitis B Virus Infection. Molecular Therapy. 21(5). 973–985. 241 indexed citations

3.

Wong, So C., Jason J. Klein, Holly Hamilton, et al.. (2012). Co-Injection of a Targeted, Reversibly Masked Endosomolytic Polymer Dramatically Improves the Efficacy of Cholesterol-Conjugated Small Interfering RNAs In Vivo. Nucleic Acid Therapeutics. 22(6). 380–390. 86 indexed citations

4.

Rozema, David B., David L. Lewis, Darren H. Wakefield, et al.. (2007). Dynamic PolyConjugates for targeted in vivo delivery of siRNA to hepatocytes. Proceedings of the National Academy of Sciences. 104(32). 12982–12987. 523 indexed citations breakdown →

5.

Wong, So C., Darren H. Wakefield, Jason J. Klein, et al.. (2006). Hepatocyte Targeting of Nucleic Acid Complexes and Liposomes by a T7 Phage p17 Peptide. Molecular Pharmaceutics. 3(4). 386–397. 16 indexed citations

6.

Wakefield, Darren H., Jason J. Klein, Jon A. Wolff, & David B. Rozema. (2005). Membrane Activity and Transfection Ability of Amphipathic Polycations as a Function of Alkyl Group Size. Bioconjugate Chemistry. 16(5). 1204–1208. 38 indexed citations

7.

Klein, Jason J., et al.. (2000). Unique solvent properties of straight-chain carboxylic acids for electron-transfer photoreactions. Journal of Photochemistry and Photobiology A Chemistry. 131(1-3). 27–31. 2 indexed citations

8.

Bentur, Yedidia, et al.. (1989). Pharmacokinetics of deferoxamine with and without iron load.. PubMed. 31(2). 156–7. 2 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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