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.
Variations in the care of HIV-infected adults in the United States: results from the HIV Cost and Services Utilization Study.
1999635 citationsMartin F. Shapiro, Sally C. Morton et al.PubMedprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Judith Perlman
Since
Specialization
Citations
This map shows the geographic impact of Judith Perlman'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 Judith Perlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Perlman more than expected).
This network shows the impact of papers produced by Judith Perlman. 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 Judith Perlman. The network helps show where Judith Perlman may publish in the future.
Co-authorship network of co-authors of Judith Perlman
This figure shows the co-authorship network connecting the top 25 collaborators of Judith Perlman.
A scholar is included among the top collaborators of Judith Perlman 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 Judith Perlman. Judith Perlman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wenzel, Suzanne L., Joan S. Tucker, Marc N. Elliott, et al.. (2004). Prevalence and Co-Occurrence of Violence, Substance Use and Disorder, and HIV Risk Behavior.1 indexed citations
Shapiro, Martin F., Sally C. Morton, Daniel F. McCaffrey, et al.. (1999). Variations in the care of HIV-infected adults in the United States: results from the HIV Cost and Services Utilization Study.. PubMed. 281(24). 2305–15.635 indexed citations breakdown →
Shapiro, Martin F., Marc L. Berk, Sandra H. Berry, et al.. (1999). National probability samples in studies of low-prevalence diseases. Part I: Perspectives and lessons from the HIV cost and services utilization study.. PubMed. 34(5 Pt 1). 951–68.109 indexed citations
11.
Shapiro, Martin F., Marc L. Berk, Sandra H. Berry, et al.. (1999). National Probability Samples in Studies of Low-Prevalence Diseases.51 indexed citations
12.
Kleinman, Lawrence C., H P Freeman, Judith Perlman, & Lillian Gelberg. (1996). Homing in on the homeless: assessing the physical health of homeless adults in Los Angeles County using an original method to obtain physical examination data in a survey.. PubMed. 31(5). 533–49.20 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.