CA Graham

572 citations
6 papers · 90 · h-index 4

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 2
    • Metabolomics and Mass Spectrometry Studies 1
    • Biochemical and Molecular Research 1

CA Graham

6 papers receiving 88 citations

Peers

CA Graham
Comparison fields: 5 of 35
  • Clinical Biochemistry 53
  • Rheumatology 26
  • Biochemistry 11
  • Cancer Research 9
  • Molecular Biology 40
Replace Mick Henderson with:
Mick Henderson United Kingdom
Mohandas Nair India
Tomoko Tsuruoka Japan
Patrícia Janeiro Portugal
Ayako Matsunaga Japan
Keiko Ichimoto Japan
Cynthia LeMons United States
Daffodil M. Canson Philippines
Jozef Hertecant United Arab Emirates
Marietta Truger Germany
CA Graham relative to Mick Henderson United Kingdom Mick Henderson's profile →
Citations per field
00.5×1.5×
Mick Henderson · 1×
Citations per year

Countries citing papers authored by CA Graham

Since Specialization
Citations

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

Fields of papers citing papers by CA Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside CA Graham, 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 CA Graham Line = papers co-authored together CA Graham links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Phenylketonuria mutation analysis in Northern Ireland: a rapid stepwise approach.
199548
2 200826
3 199411
4 20093
5
Who reports masturbation? British national probability data on prevalence and associated factors.
20071
6 20131

About CA Graham

CA Graham is a scholar working on Surgery, Molecular Biology, Clinical Biochemistry, Pathology and Forensic Medicine and Health, having authored 6 papers that have together received 90 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Adolescent Sexual and Reproductive Health (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Biochemical and Molecular Research (1 paper), Multiple Sclerosis Research Studies (1 paper) and Systemic Sclerosis and Related Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (53 citations), Rheumatology (26 citations), Biochemistry (11 citations), Cancer Research (9 citations) and Molecular Biology (40 citations). CA Graham has collaborated with scholars based in United Kingdom, Netherlands and Ireland. Frequent co-authors include Johannes Zschocke, N. C. Nevin, Steve E. Humphries, Ian Young, DP Nicholls, Ros Whittall, SA Hawkins, G V McDonnell, CC Patterson and Margaret Johnson. Their work appears in journals such as Atherosclerosis, Acta Paediatrica, Clinical Genetics, Multiple Sclerosis Journal and Europe PMC (PubMed Central).

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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