Darren H. Wakefield

1.3k citations
10 papers · 997 indexed · 1 hit paper · h-index 9
Topics
RNA Interference and Gene Delivery (7 papers)Advanced biosensing and bioanalysis techniques (4 papers)Virus-based gene therapy research (2 papers)

In The Last Decade

Darren H. Wakefield

10 papers receiving 949 citations

Hit Papers

Dynamic PolyConjugates for targeted in vivo delivery of s...20072026201320192007100200300400500

Peers

Darren H. Wakefield
Comparison fields: 5 of 64
  • Molecular Biology 842
  • Cancer Research 218
  • Epidemiology 149
  • Genetics 145
  • Biomaterials 88
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Jason J. Klein United States
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Liu Liang Qin China
Ellen Ambegia Canada
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Darren H. Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by Darren H. Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren H. Wakefield. 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 Darren H. Wakefield. The network helps show where Darren H. Wakefield may publish in the future.

Co-authorship network of co-authors of Darren H. Wakefield

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 27
2
Abstract 17167: Targeting Apolipoprotein(a) With a Novel RNAi Delivery Platform as a Prophylactic Treatment to Reduce Risk of Cardiovascular Events in Individuals With Elevated Lipoprotein (a)
7
3 15
4 31
5 241
6 86
7
Dynamic PolyConjugates for targeted in vivo delivery of siRNA to hepatocytesbreakdown →
523
8 16
9 38
10 13

About Darren H. Wakefield

Darren H. Wakefield is a scholar working on Cancer Research, Microbiology and Molecular Biology, having authored 10 papers that have together received 997 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (842 citations) and Hepatology (87 citations). Darren H. Wakefield has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David B. Rozema, Jason J. Klein, David L. Lewis, Qili Chu, So C. Wong, Jon A. Wolff, Andrei V. Blokhin, Stephanie Bertin, P. Roesch and James E. Hagstrom. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

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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