CP Day

404 total citations
11 papers, 241 citations indexed

About

CP Day is a scholar working on Pathology and Forensic Medicine, Epidemiology and Surgery. According to data from OpenAlex, CP Day has authored 11 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 3 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in CP Day's work include Liver Disease Diagnosis and Treatment (3 papers), Alcohol Consumption and Health Effects (3 papers) and Pharmacological Effects and Toxicity Studies (1 paper). CP Day is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Alcohol Consumption and Health Effects (3 papers) and Pharmacological Effects and Toxicity Studies (1 paper). CP Day collaborates with scholars based in United Kingdom, Finland and United States. CP Day's co-authors include Herbert K. Hagler, Rainer N. Zahlten, Jinko Graham, Ann K. Daly, Melania Manco, Julian Leathart, Matilde Marcellini, Ahmad Al‐Serri, Larysa Fedchuk and David Canty and has published in prestigious journals such as Gastroenterology, Journal of Hepatology and The American Journal of Gastroenterology.

In The Last Decade

CP Day

11 papers receiving 231 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
CP Day United Kingdom 4 171 66 66 51 43 11 241
Francesco Gorreta United States 6 225 1.3× 89 1.3× 60 0.9× 107 2.1× 31 0.7× 6 304
Franziska Wandrer Germany 9 147 0.9× 31 0.5× 70 1.1× 119 2.3× 59 1.4× 15 327
Norihiro Chatani Japan 9 184 1.1× 49 0.7× 123 1.9× 134 2.6× 72 1.7× 10 355
Christina‐Maria Flessa Greece 7 202 1.2× 72 1.1× 50 0.8× 84 1.6× 36 0.8× 11 319
Lampros Chrysavgis Greece 10 258 1.5× 115 1.7× 88 1.3× 96 1.9× 53 1.2× 18 396
Cameron Gofton Australia 5 238 1.4× 122 1.8× 77 1.2× 51 1.0× 26 0.6× 9 303
Shunkui Luo China 9 144 0.8× 72 1.1× 30 0.5× 129 2.5× 36 0.8× 15 325
Lee C. Claridge United Kingdom 5 166 1.0× 68 1.0× 99 1.5× 81 1.6× 39 0.9× 8 279
Yusuke Tsuchimoto Japan 10 153 0.9× 45 0.7× 87 1.3× 99 1.9× 53 1.2× 32 350
Hisao Ezaki Japan 10 267 1.6× 77 1.2× 140 2.1× 132 2.6× 110 2.6× 12 439

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).

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.

Co-authorship network of co-authors of CP Day

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

All Works

11 of 11 papers shown
1.
Cassidy, Steve, et al.. (2015). Nick Hales Young Investigator Award. Diabetic Medicine. 32(S1). 12–14. 1 indexed citations
2.
Ratziu, Vlad, Giulio Marchesini, Manuel Romero‐Gómez, et al.. (2013). 1364 THE HOMA INDEX IS A USEFUL TOOL FOR RISK STRATIFICATION OF ADVANCED FIBROTIC DISEASE IN A LARGE COHORT OF EUROPEAN NAFLD PATIENTS. Journal of Hepatology. 58. S548–S549. 2 indexed citations
3.
Tanwar, Sudeep, Douglas Thorburn, Julie Parkes, et al.. (2012). An algorithm combining direct and indirect liver fibrosis tests enhances diagnostic performance for the detection of advanced fibrosis (F3-4) in NAFLD minimising the need for liver biopsy. UCL Discovery (University College London). 1 indexed citations
4.
McPherson, Stuart, Laura Griffiths, T.L. Hardy, et al.. (2012). 1308 THE FIB-4 SCORE RELIABLY EXCLUDES ADVANCED FIBROSIS IN A DIABETIC COHORT WITH NAFLD. Journal of Hepatology. 56. S515–S516. 1 indexed citations
5.
Leavitt, Matthew L., Wei Hu, David Canty, et al.. (2011). Recombinant lysosomal acid lipase normalizes liver weight, transaminases and histopathological abnormalities in an in vivo model of cholesteryl ester storage disease. 1 indexed citations
6.
Day, CP, Rita Horváth, PB Watkins, et al.. (2009). Common POLG Genetic Variants Increase the Risk of Sodium Valproate Induced Liver Injury and Failure. 2 indexed citations
7.
Daly, Ann K., Ahmad Al‐Serri, Matilde Marcellini, et al.. (2007). The mitochondrial superoxide dismutase 2 (SOD2) targeting sequence polymorphism is associated with fibrotic NAFLD: Consistent evidence from case-control and intra-familial allelic association studies. 6 indexed citations
8.
Day, CP, et al.. (2006). The genetic basis of hepatocellular cancer. 4 indexed citations
9.
Day, CP, et al.. (2002). Non‐alcoholic steatohepatitis: Definitions and pathogenesis. Journal of Gastroenterology and Hepatology. 17(s3). S377–84. 159 indexed citations
10.
Day, CP. (2002). Nash-related liver failure: one hit too many?. The American Journal of Gastroenterology. 97(8). 1872–1874. 3 indexed citations
11.
Zahlten, Rainer N., et al.. (1978). Morphological Characterization of Kupffer and Endothelial Cells of Rat Liver Isolated By Counterflow Elutriation. Gastroenterology. 75(1). 80–87. 61 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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