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.
Strength of Recommendation Taxonomy (SORT): A Patient-Centered Approach to Grading Evidence in the Medical Literature
2004897 citationsMark H. Ebell, Jay Siwek et al.The Journal of the American Board of Family Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Jay Siwek'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 Jay Siwek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Siwek more than expected).
This network shows the impact of papers produced by Jay Siwek. 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 Jay Siwek. The network helps show where Jay Siwek may publish in the future.
Co-authorship network of co-authors of Jay Siwek
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Siwek.
A scholar is included among the top collaborators of Jay Siwek 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 Jay Siwek. Jay Siwek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
8 of 8 papers shown
1.
Siwek, Jay. (2016). Screening for Ovarian Cancer-More Hype Than Hope?. PubMed. 93(11). 906–906.
Ebell, Mark H., Jay Siwek, Barry D. Weiss, et al.. (2004). Strength of Recommendation Taxonomy (SORT): A Patient-Centered Approach to Grading Evidence in the Medical Literature. The Journal of the American Board of Family Medicine. 17(1). 59–67.897 indexed citations breakdown →
4.
Ebell, Mark H., Jay Siwek, Barry D. Weiss, et al.. (2004). Simplifying the language of evidence to improve patient care: Strength of recommendation taxonomy (SORT): a patient-centered approach to grading evidence in medical literature.. PubMed. 53(2). 111–20.59 indexed citations
5.
Ebell, Mark H., Jay Siwek, Barry D. Weiss, et al.. (2004). Strength of recommendation taxonomy (SORT): a patient-centered approach to grading evidence in the medical literature.. PubMed. 69(3). 548–56.358 indexed citations
6.
Siwek, Jay, Margaret L. Gourlay, David C. Slawson, & Allen F. Shaughnessy. (2002). How to write an evidence-based clinical review article.. PubMed. 65(2). 251–8.99 indexed citations
Siwek, Jay. (1985). House calls: current status and rationale.. PubMed. 31(4). 169–74.17 indexed citations
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.