John Codrington

785 citations
20 papers · 194 · h-index 8

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

John Codrington

19 papers receiving 189 citations

Peers

John Codrington
Comparison fields: 5 of 50
  • Genetics 115
  • Hematology 83
  • Pediatrics, Perinatology and Child Health 25
  • Public Health, Environmental and Occupational Health 36
  • Infectious Diseases 22
Replace Mehmet Akif Çürük with:
Mehmet Akif Çürük Türkiye
Layla N. Al-Jader United Kingdom
Shannon Kelly United States
Janet Kwiatkowski United States
Arielle G. Hernandez United States
A. Sciotto Italy
J. H. Ebbs United Kingdom
Jules Alao France
Karen L. Copeland United States
Tomasz Roszkowski Poland
John Codrington relative to Mehmet Akif Çürük Türkiye Mehmet Akif Çürük's profile →
Citations per field
00.5×5.3×
Mehmet Akif Çürük · 1×
Citations per year

Countries citing papers authored by John Codrington

Since Specialization
Citations

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

Fields of papers citing papers by John Codrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Codrington, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Codrington Line = papers co-authored together John Codrington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199244
2 199029
3 199021
4 198918
5 201616
6 201613
7 19918
8 19878
9 19897
10 20166
11 20166
12 20186
13 20224
14 20172
15 20212
16 20241
17 20091
18 20151
19 20171
20 20240

About John Codrington

John Codrington is a scholar working on Genetics, Infectious Diseases, Public Health, Environmental and Occupational Health, Physiology and Molecular Biology, having authored 20 papers that have together received 194 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (3 papers), Erythrocyte Function and Pathophysiology (3 papers), COVID-19 epidemiological studies (2 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Genetics (115 citations), Hematology (83 citations), Pediatrics, Perinatology and Child Health (25 citations), Public Health, Environmental and Occupational Health (36 citations) and Infectious Diseases (22 citations). John Codrington has collaborated with scholars based in United States, Netherlands and Suriname. Frequent co-authors include T. H. J. Huisman, F. Kutlar, Stephen Vreden, B. B. Webber, J. B. Wilson, D.R. Harkness, T. H. J. Huisman, Abdullah Kutlar, Rens Zonneveld and John Nechtman. Their work appears in journals such as Virology, Toxics, British Journal of Haematology, International Journal of Neonatal Screening and Acta Haematologica.

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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