Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
Countries citing papers authored by HighWire Press
Since Specialization
Citations
This map shows the geographic impact of HighWire Press'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 HighWire Press with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HighWire Press more than expected).
This network shows the impact of papers produced by HighWire Press. 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 HighWire Press. The network helps show where HighWire Press may publish in the future.
HighWire Press is a scholar working on Cultural Studies, Agronomy and Crop Science and History, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Click Chemistry and Applications (1 paper), Herpesvirus Infections and Treatments (1 paper) and Psychoanalysis and Social Critique (1 paper). The work is most often cited by research in Oncology (321 citations), Applied Psychology (58 citations) and Cancer Research (149 citations). Their work appears in journals such as Telos.
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.