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.
Annual Report to the Nation on the Status of Cancer, 1975–2002, Featuring Population-Based Trends in Cancer Treatment
2005774 citationsPatricia M. Jamison, Carol Friedman et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Carol Friedman
Since
Specialization
Citations
This map shows the geographic impact of Carol Friedman'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 Carol Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Friedman more than expected).
This network shows the impact of papers produced by Carol Friedman. 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 Carol Friedman. The network helps show where Carol Friedman may publish in the future.
Co-authorship network of co-authors of Carol Friedman
This figure shows the co-authorship network connecting the top 25 collaborators of Carol Friedman.
A scholar is included among the top collaborators of Carol Friedman 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 Carol Friedman. Carol Friedman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Overby, Casey Lynnette, Chunhua Weng, Krystl Haerian, et al.. (2013). Evaluation considerations for EHR-based phenotyping algorithms: A case study for drug-induced liver injury.. PubMed Central.7 indexed citations
4.
Eugenio, Barbara Di, Camillo Lugaresi, Gail M. Keenan, et al.. (2013). HospSum: Integrating physician discharge notes with coded nursing care data to generate patient-centric summaries. AMIA.2 indexed citations
5.
Xu, Hua, Melinda C. Aldrich, Qingxia Chen, et al.. (2012). Electronic health record data suggests metformin improves cancer survival: A new model for drug repurposing studies.. AMIA.1 indexed citations
Chen, Hsinchun, Sherrilynne S. Fuller, Carol Friedman, & William Hersh. (2010). Medical Informatics: Knowledge Management and Data Mining in Biomedicine. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).68 indexed citations
8.
Ahmed, Faruque, Joseph F. Perz, Patricia M. Jamison, et al.. (2008). Peer Reviewed: National Trends and Disparities in the Incidence of Hepatocellular Carcinoma, 1998–2003. Preventing Chronic Disease. 5(3).3 indexed citations
Armour, Brian S., Carol Friedman, M. Melinda Pitts, et al.. (2004). The influence of year-end bonuses on colorectal cancer screening.. PubMed. 10(9). 617–24.23 indexed citations
Liu, Hongfang, Yves A. Lussier, & Carol Friedman. (2001). Disambiguating ambiguous biomedical terms in biomedical narrative text: an unsupervised method. Computers and Biomedical Research. 34(4). 249–261.5 indexed citations
14.
Krauthammer, Michael, Andrey Rzhetsky, Pavel Morozov, & Carol Friedman. (2000). Using BLAST, A DNA and Protein Sequence Comparison Tool, for Finding Gene and Protein Names in Journal Articles. Europe PMC (PubMed Central).
15.
Lussier, Yves A., Lyudmila Shagina, & Carol Friedman. (2000). Automating ICD-9-CM Encoding Using Medical Language Processing: A Feasibility Study. PubMed Central. 1072–1072.18 indexed citations
16.
Wilcox, Adam, Carol Friedman, & George Hripcsak. (1998). Natural Language as a Tool in the Development of a Controlled Vocabulary.. PubMed Central. 1098–1098.2 indexed citations
17.
Friedman, Carol, et al.. (1996). A WEB-Based Version of MedLEE: A Medical Language Extraction and Encoding System. Europe PMC (PubMed Central). 938–938.8 indexed citations
18.
Friedman, Carol, Ross C. Brownson, Dan Peterson, & J C Wilkerson. (1994). Physician advice to reduce chronic disease risk factors.. PubMed. 10(6). 367–71.64 indexed citations
19.
Friedman, Carol, George Hripcsak, Stephen B. Johnson, James J. Cimino, & Paul D. Clayton. (1990). A Generalized Relational Schema for an Integrated Clinical Patient Database. PubMed Central. 335–339.52 indexed citations
20.
Johnson, Stephen B., James J. Cimino, Carol Friedman, George Hripcsak, & Paul D. Clayton. (1990). Using Metadata to Integrate Medical Knowledge in a Clinical Information System. PubMed Central. 340–344.23 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.