D. Kay

887 citations
31 papers · 708 · h-index 15

Impact in

  • Ecology top 5%
    • Bacteriophages and microbial interactions
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • Bacteriophages and microbial interactions 19
    • Microbial Community Ecology and Physiology 2
    • Protein purification and stability 4
    • Genomics and Phylogenetic Studies 3
    • Enzyme Catalysis and Immobilization 2
    • Gut microbiota and health 2

D. Kay

29 papers receiving 577 citations

Peers

D. Kay
Comparison fields: 5 of 83
  • Ecology 340
  • Genetics 259
  • Molecular Biology 378
  • Biotechnology 47
  • Endocrinology 27
Replace M L Parker with:
M L Parker United States
Elizabeth H. Szybalski United States
Robert A. Altenbern United States
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Citations per year

Countries citing papers authored by D. Kay

Since Specialization
Citations

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

Fields of papers citing papers by D. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside D. 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 D. Kay Line = papers co-authored together D. Kay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196089
2 197083
3 196866
4 196762
5 198044
6 197141
7 196939
8 197133
9 196530
10 196226
11 197623
12 196220
13 196219
14
The effect of divalent metals on the multiplication of coli bacteriophage T 5st.
195216
15 195915
16 196514
17 196212
18 196912
19 196311
20
Tryptophan as a bacteriophage adsorption factor.
195710

About D. Kay

D. Kay is a scholar working on Ecology, Molecular Biology, Genetics, Biotechnology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 708 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (19 papers), Bacterial Genetics and Biotechnology (5 papers), Protein purification and stability (4 papers), Genomics and Phylogenetic Studies (3 papers), Cancer Research and Treatments (2 papers), Enzyme Catalysis and Immobilization (2 papers), Microbial Community Ecology and Physiology (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Ecology (340 citations), Genetics (259 citations), Molecular Biology (378 citations), Biotechnology (47 citations) and Endocrinology (27 citations). D. Kay has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include J. Mandelstam, David Bradley, S. C. Warren, Ian W. Dawes, Paul Fildes, Howard F. Jenkinson, W.M. Waites, David A. Wood, R.G. Tucker and D. S. Robinson. Their work appears in journals such as British Journal of Haematology, Journal of General Virology, Nature, Journal of Bacteriology and Journal of Cell Science.

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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