Wayne P. Campbell

501 citations
24 papers · 425 · h-index 13

Impact in

Papers in

Wayne P. Campbell

24 papers receiving 389 citations

Peers

Wayne P. Campbell
Comparison fields: 5 of 55
  • Infectious Diseases 209
  • Ecology, Evolution, Behavior and Systematics 125
  • Public Health, Environmental and Occupational Health 160
  • Parasitology 18
  • Molecular Biology 155
Replace Sophia M. Reeder with:
Sophia M. Reeder United States
Sylviane Bassot France
Qilin Xin China
R. Meirom Israel
Tiffany M. Lucas United States
João Costa Portugal
K Wolff United States
Yun‐Jia Ning China
Kaycie C. Hopkins United States
Liyan Sui China
Wayne P. Campbell relative to Sophia M. Reeder United States Sophia M. Reeder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wayne P. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Wayne P. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne P. Campbell. 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 Wayne P. Campbell. The network helps show where Wayne P. Campbell may publish in the future.

Co-authors

The 15 scholars most cited alongside Wayne P. Campbell, 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 Wayne P. Campbell Line = papers co-authored together Wayne P. Campbell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200145
2 198742
3 197842
4 197337
5 197127
6 199926
7 199626
8 199921
9 199720
10 197519
11 197917
12 199516
13 198115
14 198312
15 199611
16 199510
17
Transcription of the repetitive DNA sequences in polyoma-transformed and nontransformed mouse cells in culture.
19759
18 19809
19 19966
20 19756

About Wayne P. Campbell

Wayne P. Campbell is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (8 papers), RNA Research and Splicing (5 papers), Molecular Biology Techniques and Applications (5 papers), Plant Virus Research Studies (4 papers), Vector-Borne Animal Diseases (3 papers), Liver physiology and pathology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Infectious Diseases (209 citations), Ecology, Evolution, Behavior and Systematics (125 citations), Public Health, Environmental and Occupational Health (160 citations), Parasitology (18 citations) and Molecular Biology (155 citations). Wayne P. Campbell has collaborated with scholars based in United States. Frequent co-authors include Leo J. Grady, Cinnia Huang, Dennis J. White, John J. Howard, Kent D. Miller, John W. Fenton, Benjamin H. Spargo, Robert E. Shope, Wayne H. Thompson and Nick Karabatsos. Their work appears in journals such as Virus Research, Journal of General Virology, Nucleic Acids Research, Clinical Infectious Diseases and European Journal of Biochemistry.

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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