This map shows the geographic impact of Dan Ferber'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 Dan Ferber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ferber more than expected).
This network shows the impact of papers produced by Dan Ferber. 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 Dan Ferber. The network helps show where Dan Ferber may publish in the future.
Co-authors
The 2 scholars most cited alongside Dan Ferber, 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 Dan FerberLine = papers co-authored togetherDan Ferber links everyone, so they are left out of the graph.
All Works
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Showing the 20 most-cited of 54 papers — load more,
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Dan Ferber is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Ecology, Physiology and Genetics, having authored 54 papers that have together received 884 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (3 papers), Science, Research, and Medicine (3 papers), Virus-based gene therapy research (3 papers), Insect Resistance and Genetics (2 papers), Transgenic Plants and Applications (2 papers), Animal Disease Management and Epidemiology (2 papers), Biomedical Ethics and Regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (13 citations), Molecular Medicine (35 citations), Biotechnology (62 citations), Genetics (159 citations) and Molecular Biology (379 citations). Dan Ferber has collaborated with scholars based in United States. Frequent co-authors include Martin Enserink and Paul R. Epstein. Their work appears in journals such as Science, Drug Discovery Today and PLoS Biology.
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.