Countries citing papers authored by Sarah DeWeerdt
Since Specialization
Citations
This map shows the geographic impact of Sarah DeWeerdt'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 Sarah DeWeerdt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah DeWeerdt more than expected).
This network shows the impact of papers produced by Sarah DeWeerdt. 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 Sarah DeWeerdt. The network helps show where Sarah DeWeerdt may publish in the future.
Co-authorship network of co-authors of Sarah DeWeerdt
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah DeWeerdt.
A scholar is included among the top collaborators of Sarah DeWeerdt based on the total number of citations
received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah DeWeerdt. Sarah DeWeerdt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sarah DeWeerdt is a scholar working on Aging, Ecological Modeling and Sensory Systems, having authored 62 papers that have together received 589 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Cancer Genomics and Diagnostics (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (31 citations), Aging (7 citations) and Public Health, Environmental and Occupational Health (85 citations). Sarah DeWeerdt has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include P. Dee Boersma. Their work appears in journals such as Nature, BioScience and Scientific American.
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.