L.A. Kay

418 citations
16 papers · 244 indexed · h-index 10

Impact in

  • Biochemistry top 10%
    • Blood transfusion and management
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Blood groups and transfusion 6
    • Iron Metabolism and Disorders 2
    • Hemoglobinopathies and Related Disorders 4
    • Blood disorders and treatments 2
    • Chronic Lymphocytic Leukemia Research 2

L.A. Kay

16 papers receiving 219 citations

Peers

L.A. Kay
Comparison fields: 5 of 55
  • Biochemistry 63
  • Genetics 86
  • Hematology 82
  • Critical Care and Intensive Care Medicine 33
  • Management of Technology and Innovation 27
Replace Melanie Tokessy with:
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Citations per field
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Citations per year

Countries citing papers authored by L.A. Kay

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Kay. 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 L.A. Kay. The network helps show where L.A. Kay may publish in the future.

Co-authors

The 25 scholars most cited alongside L.A. Kay, 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 L.A. Kay Line = papers co-authored together L.A. Kay links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 198848
2 198739
3 199336
4 198729
5 198521
6 198617
7 198411
8 19879
9 19909
10
A selective radioenzymatic assay for the determination of octopamine and phenylethanolamine in plasma and cerebrospinal fluid. Preliminary results in human and experimental hepatic encephalopathy.
19799
11 20187
12
Clinical Blood Transfusion
19863
13 19882
14 19942
15 19831
16
Essentials of Haemostasis and Thrombosis
19881

About L.A. Kay

L.A. Kay is a scholar working on Hematology, Genetics, Genetics, Physiology and Biochemistry, having authored 16 papers that have together received 244 indexed citations. Recurring topics across this work include Blood groups and transfusion (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Blood transfusion and management (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Blood disorders and treatments (2 papers), Iron Metabolism and Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biochemistry (63 citations), Genetics (86 citations), Hematology (82 citations), Critical Care and Intensive Care Medicine (33 citations) and Management of Technology and Innovation (27 citations). L.A. Kay has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include E. R. Huehns, Swee Lay Thein, J. S. Wainscoat, Andreas E. Kulozik, J. K. Wood, Rosemary E. Gale, J. A. F. Napier, M. Contreras, A. H. Waters and Martin J. Pippard. Their work appears in journals such as British Journal of Haematology, The Lancet, Journal of Clinical Pathology, Acta Haematologica and Transfusion Medicine.

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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