Ryan Cawood

1.0k citations
23 papers · 484 · h-index 13

Impact in

Papers in

    • Virus-based gene therapy research 15
    • RNA Interference and Gene Delivery 7
    • Viral Infectious Diseases and Gene Expression in Insects 6

Ryan Cawood

22 papers receiving 468 citations

Peers

Ryan Cawood
Comparison fields: 5 of 68
  • Genetics 240
  • Biotechnology 46
  • Animal Science and Zoology 44
  • Infectious Diseases 80
  • Molecular Biology 270
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M.M. van der Eb Netherlands
Christopher Y. Chen United States
Oliwia Andries Belgium
Meijun Zheng China
Viraj Mane United States
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Citations per field
00.5×10×12.5×
M.M. van der Eb · 1×
Citations per year

Countries citing papers authored by Ryan Cawood

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Cawood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 201145
3 200743
4 201133
5 201230
6 199129
7 202226
8 201523
9 201223
10 202019
11 198217
12 201017
13 201613
14 201110
15 201910
16 20149
17
Blood compatibility of enveloped viruses.
20109
18 20238
19 20083
20 19663

About Ryan Cawood

Ryan Cawood is a scholar working on Genetics, Molecular Biology, Oncology, Infectious Diseases and Animal Science and Zoology, having authored 23 papers that have together received 484 indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (7 papers), CAR-T cell therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Immunotherapy and Immune Responses (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Genetics (240 citations), Biotechnology (46 citations), Animal Science and Zoology (44 citations), Infectious Diseases (80 citations) and Molecular Biology (270 citations). Ryan Cawood has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include Leonard W. Seymour, Hannah H. Chen, Miriam Bazán‐Peregrino, Nico van Rooijen, Wendy Bruins, Kerry D. Fisher, Mark L. Reed, Julian A. Hiscox, Brian K. Dove and Sally M. Harrison. Their work appears in journals such as Human Gene Therapy, Journal of Controlled Release, PLoS ONE, Molecular Therapy — Oncolytics and Scientific Reports.

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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