Frank Bennett

3.5k citations
75 papers · 2.0k · h-index 23

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways

Papers in

Frank Bennett

69 papers receiving 1.9k citations

Peers

Frank Bennett
Comparison fields: 5 of 98
  • Genetics 302
  • Molecular Biology 1.1k
  • Organic Chemistry 397
  • Hepatology 90
  • Hematology 121
Replace Sabina Cosulich with:
Sabina Cosulich United Kingdom
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Yahui Ding China
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Frank Bennett relative to Sabina Cosulich United Kingdom Sabina Cosulich's profile →
Citations per field
00.5×2.6×
Sabina Cosulich · 1×
Citations per year

Countries citing papers authored by Frank Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Frank Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Bennett. 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 Frank Bennett. The network helps show where Frank Bennett may publish in the future.

Co-authors

The 25 scholars most cited alongside Frank Bennett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Bennett Line = papers co-authored together Frank Bennett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005264
2 2002200
3 2000169
4 2002152
5 2004106
6 202182
7 200169
8 200967
9 201064
10
Toxicological and pharmacokinetic properties of chemically modified antisense oligonucleotide inhibitors of PKC-alpha and C-raf kinase.
199742
11 199938
12 201236
13 200133
14 195731
15 201030
16 197629
17 200928
18 199128
19 199126
20 201024

About Frank Bennett

Frank Bennett is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Hepatology and Genetics, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), HIV/AIDS drug development and treatment (12 papers), Genetic Neurodegenerative Diseases (10 papers), Neurogenetic and Muscular Disorders Research (8 papers), Microbial Natural Products and Biosynthesis (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Asymmetric Synthesis and Catalysis (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Genetics (302 citations), Molecular Biology (1.1k citations), Organic Chemistry (397 citations), Hepatology (90 citations) and Hematology (121 citations). Frank Bennett has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David W. Knight, John C. Reed, Garry Fenton, Shinichi Kitada, Irene M. Pedersen, Thomas J. Kipps, Juan M. Zapata, Jeffrey M. Trent, Pamela M. Pollock and Lawrence Stennett. Their work appears in journals such as Neurology, Tetrahedron Letters, Journal of the Chemical Society Perkin Transactions 1, Bioorganic & Medicinal Chemistry Letters and Journal of Medicinal Chemistry.

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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