Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation.
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In The Last Decade
doi.org/w35256606 →Countries where authors are citing Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation.
This map shows the geographic impact of Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation.. 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 Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation. more than expected).
Fields of papers citing Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation.
This network shows the impact of Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation..
About Charlson Comorbidity Index: ICD-9 Update and ICD-10 Translation.
This paper, published in 2019, received 373 indexed citations . Written by William P. Glasheen, Tristan Cordier, GIL HAUGH, Jared Davis and Andrew Renda covering the research area of Epidemiology, Health Information Management and Endocrinology, Diabetes and Metabolism. It is primarily cited by scholars working on Surgery (81 citations), Epidemiology (78 citations) and Cardiology and Cardiovascular Medicine (51 citations). Published in PubMed.
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.
This paper is also available at doi.org/w35256606.