This map shows the geographic impact of Wade Roush'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 Wade Roush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wade Roush more than expected).
This network shows the impact of papers produced by Wade Roush. 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 Wade Roush. The network helps show where Wade Roush may publish in the future.
Co-authors
The 1 scholars most cited alongside Wade Roush, 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 Wade RoushLine = papers co-authored togetherWade Roush links everyone, so they are left out of the graph.
All Works
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Showing the 20 most-cited of 71 papers — load more,
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Wade Roush is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Physiology and Aging, having authored 71 papers that have together received 633 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Science, Research, and Medicine (3 papers), Biotechnology and Related Fields (3 papers), Health and Medical Research Impacts (2 papers), CRISPR and Genetic Engineering (2 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Aging (20 citations), Physiology (14 citations), Molecular Biology (205 citations), Genetics (76 citations) and Neuropsychology and Physiological Psychology (4 citations). Frequent co-authors include Elizabeth Pennisi. Their work appears in journals such as Science, Technology and Culture, PubMed and The MIT Press eBooks.
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.