Patrick Arbuthnot

5.4k citations
128 papers · 3.7k indexed · 1 hit paper · h-index 34

Patrick Arbuthnot

125 papers receiving 3.6k citations

Hit Papers

Self-amplifying RNA vaccines for infectious diseases3162020202620222024100200300

Peers

Patrick Arbuthnot
Comparison fields: 5 of 106
  • Hepatology 753
  • Epidemiology 1.6k
  • Virology 177
  • Molecular Biology 2.5k
  • Cancer Research 512
Replace Stacy M. Horner with:
Stacy M. Horner United States
Patricia L. Marion United States
Zhongtian Qi China
John McLauchlan United Kingdom
Stephen R. Yant United States
Patrick R. Romano United States
Seng-Lai Tan United States
Reiko Hirai Japan
Antonella Vitiello United States
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Arbuthnot

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Arbuthnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Patrick Arbuthnot, 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 Patrick Arbuthnot Line = papers co-authored together Patrick Arbuthnot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20227
3 20218
4 20207
5 201936
6 20177
7 20165
8
Differing prospects for the future of using gene therapy to treat infections with hepatitis B virus and hepatitis C virus.
20158
9
The Synthesis of Substituted Piperazine-cholesterol Conjugates for use as Components of Nucleic Acid Transfection Lipoplexes †
20100
10 201015
11 20107
12 20108
13 200913
14 200948
15 200769
16 20069
17 200586
18 20034
19 200144
20 200036

About Patrick Arbuthnot

Patrick Arbuthnot is a scholar working on Virology, Epidemiology and Infectious Diseases, having authored 128 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (70 papers), Hepatitis B Virus Studies (57 papers), Virus-based gene therapy research (32 papers), Viral gastroenteritis research and epidemiology (25 papers), CRISPR and Genetic Engineering (17 papers), Immunotherapy and Immune Responses (13 papers), Advanced biosensing and bioanalysis techniques (12 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Hepatology (753 citations), Epidemiology (1.6k citations) and Virology (177 citations). Patrick Arbuthnot has collaborated with scholars based in South Africa, United States and Germany. Frequent co-authors include Abdullah Ely, Kristie Bloom, Michael C. Kew, Fiona T. van den Berg, Marc S. Weinberg, Carol Crowther, Alexio Capovilla, Naazneen Moolla, Mohube Betty Maepa and Sergio Carmona. Their work appears in journals such as Molecular Therapy, Biochemical and Biophysical Research Communications, Gene Therapy, Viruses and Hepatology.

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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