C. Paul Morrey

1.1k total citations · 1 hit paper
13 papers, 775 citations indexed

About

C. Paul Morrey is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, C. Paul Morrey has authored 13 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Artificial Intelligence and 1 paper in Health Information Management. Recurrent topics in C. Paul Morrey's work include Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (10 papers) and Bioinformatics and Genomic Networks (3 papers). C. Paul Morrey is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (10 papers) and Bioinformatics and Genomic Networks (3 papers). C. Paul Morrey collaborates with scholars based in United States, Israel and Canada. C. Paul Morrey's co-authors include Marilyn Safran, Michal Twik, Noa Rappaport, Tsippi Iny Stein, Doron Lancet, Moran Gershoni, Ron Nudel, J. Levitt, Inbar Plaschkes and Yehoshua Perl and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

C. Paul Morrey

13 papers receiving 768 citations

Hit Papers

MalaCards: an amalgamated human disease compendium with d... 2016 2026 2019 2022 2016 100 200 300 400

Peers

C. Paul Morrey
Michael C. Rosenstein United States
Kelley Lennon-Hopkins United States
Xiaoyan A. Qu United States
Jean M. Lay United States
Michael C. Rosenstein United States
C. Paul Morrey
Citations per year, relative to C. Paul Morrey C. Paul Morrey (= 1×) peers Michael C. Rosenstein

Countries citing papers authored by C. Paul Morrey

Since Specialization
Citations

This map shows the geographic impact of C. Paul Morrey'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 C. Paul Morrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Paul Morrey more than expected).

Fields of papers citing papers by C. Paul Morrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Paul Morrey. 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 C. Paul Morrey. The network helps show where C. Paul Morrey may publish in the future.

Co-authorship network of co-authors of C. Paul Morrey

This figure shows the co-authorship network connecting the top 25 collaborators of C. Paul Morrey. A scholar is included among the top collaborators of C. Paul Morrey 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 C. Paul Morrey. C. Paul Morrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Morrey, C. Paul. (2018). Mapping of MalaCards Maladies to UMLS Concepts. 1998–2000. 1 indexed citations
2.
Rappaport, Noa, Michal Twik, Inbar Plaschkes, et al.. (2016). MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search. Nucleic Acids Research. 45(D1). D877–D887. 432 indexed citations breakdown →
3.
He, Zhe, C. Paul Morrey, Yehoshua Perl, et al.. (2014). Sculpting the UMLS Refined Semantic Network. Online Journal of Public Health Informatics. 6(2). e181–e181. 10 indexed citations
4.
Rappaport, Noa, Noam Nativ, Gil Stelzer, et al.. (2013). MalaCards: an integrated compendium for diseases and their annotation. Database. 2013. bat018–bat018. 214 indexed citations
5.
Geller, James, Zhe He, Yehoshua Perl, C. Paul Morrey, & Julia Xu. (2012). Rule-based support system for multiple UMLS semantic type assignments. Journal of Biomedical Informatics. 46(1). 97–110. 15 indexed citations
6.
Morrey, C. Paul, Yehoshua Perl, Michael Halper, Ling Chen, & Huanying Gu. (2012). A chemical specialty semantic network for the Unified Medical Language System. Journal of Cheminformatics. 4(1). 9–9. 9 indexed citations
7.
Gu, Huanying, Gai Elhanan, Yehoshua Perl, et al.. (2012). A study of terminology auditors’ performance for UMLS semantic type assignments. Journal of Biomedical Informatics. 45(6). 1042–1048. 13 indexed citations
8.
Morrey, C. Paul, Ling Chen, Michael Halper, & Yehoshua Perl. (2011). Resolution of redundant semantic type assignments for organic chemicals in the UMLS. Artificial Intelligence in Medicine. 52(3). 141–151. 4 indexed citations
9.
Li, Li, C. Paul Morrey, & David Baorto. (2011). Cross-mapping clinical notes between hospitals: an application of the LOINC Document Ontology.. PubMed. 2011. 777–83. 8 indexed citations
10.
Morrey, C. Paul, James Geller, Michael Halper, & Yehoshua Perl. (2009). The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLS. Journal of Biomedical Informatics. 42(3). 468–489. 30 indexed citations
11.
Geller, James, C. Paul Morrey, Michael Halper, et al.. (2009). Comparing inconsistent relationship configurations indicating UMLS errors.. PubMed. 2009. 193–7. 10 indexed citations
12.
Morrey, C. Paul, et al.. (2008). Modeling Multi-typed Structurally Viewed Chemicals with the UMLS Refined Semantic Network. Journal of the American Medical Informatics Association. 16(1). 116–131. 9 indexed citations
13.
Gu, Huanying, George Hripcsak, Yan Chen, et al.. (2007). Evaluation of a UMLS Auditing Process of Semantic Type Assignments.. PubMed. 294–8. 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.

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