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.
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
2016531 citationsA. Ari Hakimi, Ed Reznik et al.Cancer Cellprofile →
Countries citing papers authored by Steve Stirdivant
Since
Specialization
Citations
This map shows the geographic impact of Steve Stirdivant'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 Steve Stirdivant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Stirdivant more than expected).
Fields of papers citing papers by Steve Stirdivant
This network shows the impact of papers produced by Steve Stirdivant. 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 Steve Stirdivant. The network helps show where Steve Stirdivant may publish in the future.
Co-authorship network of co-authors of Steve Stirdivant
This figure shows the co-authorship network connecting the top 25 collaborators of Steve Stirdivant.
A scholar is included among the top collaborators of Steve Stirdivant 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 Steve Stirdivant. Steve Stirdivant is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.