Gerald W. Both

60 papers receiving 2.1k citations

Peers

Gerald W. Both
Comparison fields: 5 of 74
  • Virology 245
  • Genetics 1.1k
  • Infectious Diseases 598
  • Biotechnology 149
  • Molecular Biology 1.2k
Replace Lennart Holterman with:
Lennart Holterman Netherlands
Drew L. Lichtenstein United States
Michael D. Lubeck United States
William L McClements United States
Gary W. Ketner United States
Saw See Hong France
Monika Lusky France
Nava Sarver United States
Jerry L. Blackwell United States
Eric A. Weaver United States
Gerald W. Both relative to Lennart Holterman Netherlands Lennart Holterman's profile →
Citations per field
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Lennart Holterman · 1×
Citations per year

Countries citing papers authored by Gerald W. Both

Since Specialization
Citations

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

Fields of papers citing papers by Gerald W. Both

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald W. Both. 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 Gerald W. Both. The network helps show where Gerald W. Both may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975217
2 1986137
3 1990123
4 1975106
5 199997
6 199882
7 198581
8 198780
9 198971
10 199365
11 199361
12 197660
13 199755
14 197953
15
Relative efficiency of tumor cell killing in vitro by two enzyme-prodrug systems delivered by identical adenovirus vectors.
199745
16 199541
17 199438
18 200237
19 200436
20 199733

About Gerald W. Both

Gerald W. Both is a scholar working on Genetics, Infectious Diseases, Animal Science and Zoology, Molecular Biology and Biotechnology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (47 papers), Viral Infectious Diseases and Gene Expression in Insects (19 papers), Viral gastroenteritis research and epidemiology (18 papers), Animal Virus Infections Studies (9 papers), Cancer Research and Treatments (7 papers), Viral Infections and Immunology Research (6 papers), Herpesvirus Infections and Treatments (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Virology (245 citations), Genetics (1.1k citations), Infectious Diseases (598 citations), Biotechnology (149 citations) and Molecular Biology (1.2k citations). Gerald W. Both has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Aaron J. Shatkin, David B. Boyle, Barbara E.H. Coupar, Yasuhiro Furuichi, Subbaratnam Muthukrishnan, Marion E. Andrew, Linda J. Lockett, Peter L. Molloy, Edward J. Steele and Peter Löser. Their work appears in journals such as Virology, Journal of Virology, Cell, Vaccine and European Journal of Immunology.

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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