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.
This map shows the geographic impact of WEJ'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 WEJ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WEJ more than expected).
This network shows the impact of papers produced by WEJ. 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 WEJ. The network helps show where WEJ may publish in the future.
WEJ is a scholar working on Equine, Speech and Hearing and Microbiology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (6 papers), Veterinary Practice and Education Studies (3 papers), Reproductive Physiology in Livestock (1 paper), Animal Nutrition and Physiology (1 paper), Sports injuries and prevention (1 paper), Muscle metabolism and nutrition (1 paper), Colorectal Cancer Surgical Treatments (1 paper) and Livestock and Poultry Management (1 paper). The work is most often cited by research in Equine (558 citations), Small Animals (310 citations) and Rehabilitation (103 citations). Their work appears in journals such as Journal of Equine Veterinary Science.
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.