This map shows the geographic impact of Toby Simon'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 Toby Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Simon more than expected).
This network shows the impact of papers produced by Toby Simon. 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 Toby Simon. The network helps show where Toby Simon may publish in the future.
Co-authorship network
The 2 scholars most cited alongside Toby Simon, 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 Toby SimonLine = papers co-authored togetherToby Simon links everyone, so they are left out of the graph.
Toby Simon is a scholar working on Genetics, Hematology, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 672 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Hematology (259 citations), Genetics (148 citations), Health Information Management (39 citations), Public Administration (17 citations) and Internal Medicine (18 citations). Toby Simon has collaborated with scholars based in United States. Frequent co-authors include Stephen Harrison and Christopher Pollitt. Their work appears in journals such as Physiotherapy and Transfusion.
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.