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.
Why Don't Physicians Follow Clinical Practice Guidelines?
19995.1k citationsMichael D. Cabana, Neil R. Powe et al.profile →
Comprehensive discharge planning with postdischarge support for older patients with congestive heart failure: a meta-analysis.
2004676 citationsChristopher O. Phillips, David E. Kern et al.PubMedprofile →
Eliminating catheter-related bloodstream infections in the intensive care unit*
2004666 citationsSean M. Berenholtz, Peter J. Pronovost et al.Critical Care Medicineprofile →
A Health Status Questionnaire Using 30 Items From The Medical Outcomes Study
1991509 citationsAlbert W. Wu, Haya R. Rubin et al.Medical Careprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Haya R. Rubin'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 Haya R. Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haya R. Rubin more than expected).
This network shows the impact of papers produced by Haya R. Rubin. 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 Haya R. Rubin. The network helps show where Haya R. Rubin may publish in the future.
Co-authorship network of co-authors of Haya R. Rubin
This figure shows the co-authorship network connecting the top 25 collaborators of Haya R. Rubin.
A scholar is included among the top collaborators of Haya R. Rubin 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 Haya R. Rubin. Haya R. Rubin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berenholtz, Sean M., Peter J. Pronovost, Pamela A. Lipsett, et al.. (2004). Eliminating catheter-related bloodstream infections in the intensive care unit*. Critical Care Medicine. 32(10). 2014–2020.666 indexed citations breakdown →
Kern, David E., et al.. (2003). Improving hospital discharge for elderly patients with CHF.. Journal of General Internal Medicine. 18. 154–154.1 indexed citations
7.
Dy, Sydney M., Pushkal Garg, Dorothy Nyberg, et al.. (2003). . Medical Care. 41(5). 637–648.4 indexed citations
Lechtzin, Noah, Haya R. Rubin, Peter White, Mollie W. Jenckes, & Gregory B. Diette. (2002). Patient Satisfaction with Bronchoscopy. American Journal of Respiratory and Critical Care Medicine. 166(10). 1326–1331.73 indexed citations
Rubin, Haya R., et al.. (1993). Watching the Doctor-Watchers. Survey of Anesthesiology. 37(2). 112–112.4 indexed citations
17.
Wu, Albert W., Haya R. Rubin, William C. Mathews, et al.. (1991). A Health Status Questionnaire Using 30 Items From The Medical Outcomes Study. Medical Care. 29(8). 786–798.509 indexed citations breakdown →
18.
Wu, Albert W. & Haya R. Rubin. (1990). A pathologist's view of Mohs' micrographic surgery.. PubMed. 152(6). 722–722.
Ware, John E., et al.. (1987). The suitability of consumers' assessments of physician and hospital performance as indicators of the quality of care. University of North Texas Digital Library (University of North Texas).1 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.