CP Day

6 papers and 219 indexed citations i.

About

CP Day is a scholar working on Pathology and Forensic Medicine, Epidemiology and Surgery. According to data from OpenAlex, CP Day has authored 6 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in CP Day’s work include Alcohol Consumption and Health Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pancreatitis Pathology and Treatment (1 paper). CP Day is often cited by papers focused on Alcohol Consumption and Health Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pancreatitis Pathology and Treatment (1 paper). CP Day collaborates with scholars based in United States. CP Day's co-authors include Rainer N. Zahlten, Herbert K. Hagler, Laura Griffiths, Vlad Ratziu, Alastair D. Burt, Quentin M. Anstee, Manuel Romero‐Gómez, Michael Trauner, Jean‐François Dufour and Elisabetta Bugianesi and has published in prestigious journals such as Gastroenterology, Journal of Hepatology and The American Journal of Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of CP Day i

Fields of papers citing papers by CP Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by CP Day. 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 CP Day. The network helps show where CP Day may publish in the future.

Countries citing papers authored by CP Day

Since Specialization
Citations

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

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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2025