Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Characterization of Two Specific Drug Binding Sites on Human Serum Albumin
19751.5k citationsGillian Sudlow, D. J. Birkett et al.Molecular Pharmacologyprofile →
Further Characterization of Specific Drug Binding Sites on Human Serum Albumin
19761.3k citationsGillian Sudlow, D. J. Birkett et al.Molecular Pharmacologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of D. J. Birkett'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. J. Birkett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Birkett more than expected).
This network shows the impact of papers produced by D. J. Birkett. 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. J. Birkett. The network helps show where D. J. Birkett may publish in the future.
Co-authorship network of co-authors of D. J. Birkett
This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Birkett.
A scholar is included among the top collaborators of D. J. Birkett 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 D. J. Birkett. D. J. Birkett is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McManus, Michael E., Pauline de la Μ. Hall, Ieva Stupans, et al.. (1987). Immunohistochemical localization and quantitation of NADPH-cytochrome P-450 reductase in human liver.. PubMed. 32(1). 189–94.17 indexed citations
10.
Coulthard, Kingsley, et al.. (1986). Comparison of diurnal variation of three sustained release theophylline preparations in asthmatic children. 3. 125–128.1 indexed citations
11.
Brooks, Peter, John O. Miners, Katie Smith, et al.. (1984). Dose, plasma concentration and response relationships of D-penicillamine in patients with rheumatoid arthritis.. PubMed. 11(6). 772–5.15 indexed citations
Miners, John O., J Attwood, & D. J. Birkett. (1982). Theobromine metabolism in man.. Drug Metabolism and Disposition. 10(6). 672–675.22 indexed citations
14.
Miners, John O., John J. Grygiel, Roger Drew, & D. J. Birkett. (1981). Interaction between cimetidine and theophylline in smokers and non-smokers. Clinical and Experimental Pharmacology and Physiology. 8(6).7 indexed citations
15.
Wing, Lindon, P J Meffin, John J. Grygiel, Kenneth J. Smith, & D. J. Birkett. (1980). The effect of metoclopramide and atropine on the absorption of orally administered mexiletine.. PubMed. 9(5). 505–9.23 indexed citations
16.
Birkett, D. J. & A. H. Conney. (1979). Patterns of drug metabolism in man. Clinical and Experimental Pharmacology and Physiology. 6(2). 171–172.1 indexed citations
Sudlow, Gillian, D. J. Birkett, & D. N. Wade. (1975). The Characterization of Two Specific Drug Binding Sites on Human Serum Albumin. Molecular Pharmacology. 11(6). 824–832.1533 indexed citations breakdown →
19.
Birkett, D. J. & William Silen. (1973). Effect of severe anoxia and sodium taurocholate on H-+ loss from luminal surface of in vitro gastric mucosa.. PubMed. 24. 421–4.1 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.