J. K. Whitehead

1.1k total citations
21 papers, 392 citations indexed

About

J. K. Whitehead is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology. According to data from OpenAlex, J. K. Whitehead has authored 21 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in J. K. Whitehead's work include Carcinogens and Genotoxicity Assessment (3 papers), Metabolism and Genetic Disorders (2 papers) and Diet, Metabolism, and Disease (2 papers). J. K. Whitehead is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), Metabolism and Genetic Disorders (2 papers) and Diet, Metabolism, and Disease (2 papers). J. K. Whitehead collaborates with scholars based in United States, United Kingdom and Japan. J. K. Whitehead's co-authors include Gertrude E. Glock, Patricia McLean, H. R. Bentley, D. Beale, Peter Lee, E. E. McDermott, Katherine A. Rothwell, Ben Davis, F. J. C. Roe and P McLean and has published in prestigious journals such as Nature, Journal of Hepatology and British Journal of Cancer.

In The Last Decade

J. K. Whitehead

21 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. K. Whitehead United States 12 122 66 64 61 56 21 392
Thomas R. Blohm United States 12 235 1.9× 140 2.1× 24 0.4× 48 0.8× 24 0.4× 28 484
Howard H. Mason Canada 6 169 1.4× 21 0.3× 35 0.5× 39 0.6× 36 0.6× 8 416
Irma W. Duncan United States 10 227 1.9× 47 0.7× 77 1.2× 17 0.3× 18 0.3× 12 522
Jean Scholler United States 13 197 1.6× 16 0.2× 37 0.6× 46 0.8× 32 0.6× 43 423
Manford D. Morris United States 10 179 1.5× 173 2.6× 52 0.8× 15 0.2× 96 1.7× 19 541
Suzanne Salmon France 10 73 0.6× 113 1.7× 32 0.5× 76 1.2× 19 0.3× 12 416
L. C. Eze United Kingdom 9 123 1.0× 28 0.4× 39 0.6× 15 0.2× 47 0.8× 18 340
Erdoğan Ertürk United States 12 165 1.4× 16 0.2× 29 0.5× 31 0.5× 77 1.4× 17 467
C.R. Ball United Kingdom 9 189 1.5× 14 0.2× 24 0.4× 36 0.6× 64 1.1× 23 395
Henry M. Laboda United States 7 206 1.7× 62 0.9× 39 0.6× 28 0.5× 13 0.2× 7 395

Countries citing papers authored by J. K. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by J. K. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. K. Whitehead. 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 J. K. Whitehead. The network helps show where J. K. Whitehead may publish in the future.

Co-authorship network of co-authors of J. K. Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Whitehead. A scholar is included among the top collaborators of J. K. Whitehead 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 J. K. Whitehead. J. K. Whitehead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Harrison, S.A., H. Wilman, Matt Kelly, et al.. (2018). Prevalence and stratification of NAFLD/NASH in a UK and US cohort using non-invasive multiparametric MRI. Journal of Hepatology. 68. S550–S550. 1 indexed citations
2.
Lee, Peter, Katherine A. Rothwell, & J. K. Whitehead. (1977). Fractionation of mouse skin carcinogens in cigarette smoke condensate. British Journal of Cancer. 35(6). 730–742. 9 indexed citations
3.
Davis, Ben, et al.. (1975). Response of rat lung to inhaled tobacco smoke with or without prior exposure to 3,4-benzpyrene (BP) given by intratracheal instillation. British Journal of Cancer. 31(4). 469–484. 36 indexed citations
4.
Davis, Ben, et al.. (1975). Response of rat lung to 3,4-benzpyrene administered by intratracheal instillation in infusine with or without carbon black. British Journal of Cancer. 31(4). 443–452. 11 indexed citations
6.
Davis, Ben, et al.. (1975). Response of rat lung to tobacco smoke condensate or fractions derived from it administered repeatedly by intratracheal instillation. British Journal of Cancer. 31(4). 453–461. 9 indexed citations
7.
Whitehead, J. K., et al.. (1970). A Study of the Effects of Altering the Tar/Nicotine Ratio in Experimental Tobacco Carcinogenesis. British Journal of Cancer. 24(1). 191–194. 4 indexed citations
8.
Whitehead, J. K. & Katherine A. Rothwell. (1969). The mouse skin carcinogenicity of cigarette smoke condensate: fractionated by solvent partition methods.. British Journal of Cancer. 23(4). 840–857. 17 indexed citations
9.
Whitehead, J. K., et al.. (1968). The Isotope Derivative Method in Biochemical Analysis. Methods of biochemical analysis. 16. 1–98. 8 indexed citations
10.
Rothwell, Katherine A. & J. K. Whitehead. (1967). Complex Formation, Isolation and Carcinogenicity of Polycyclic Aromatic Hydrocarbons. Nature. 213(5078). 797–797. 2 indexed citations
11.
Beale, D. & J. K. Whitehead. (1960). A preliminary investigation of the levels of 3-monoiodotyrosine and 3,5-diiodotyrosine in human blood plasma using double isotope dilution technique. Clinica Chimica Acta. 5(1). 150–152. 23 indexed citations
12.
Whitehead, J. K. & D. Beale. (1959). The determination of thyroxine levels in human plasma by double isotope-dilution technique. Clinica Chimica Acta. 4(5). 710–720. 13 indexed citations
13.
Whitehead, J. K.. (1958). The separation of amino acids and their N-acetyl derivatives by paper chromatography and paper ionophoresis. Biochemical Journal. 68(4). 653–662. 16 indexed citations
14.
Whitehead, J. K.. (1958). Determination of amino acids by double isotope-dilution technique. Biochemical Journal. 68(4). 662–668. 10 indexed citations
15.
Glock, Gertrude E., P McLean, & J. K. Whitehead. (1956). Pathways of glucose utilization in the mammary gland of the rat. Biochimica et Biophysica Acta. 19(3). 546–547. 22 indexed citations
16.
Glock, Gertrude E., Patricia McLean, & J. K. Whitehead. (1956). Pathways of glucose catabolism in rat liver in alloxan diabetes and hyperthyroidism. Biochemical Journal. 63(3). 520–524. 93 indexed citations
17.
Cosgrove, Daniel J., David Daniels, J. K. Whitehead, & J. D. S. Goulden. (1952). 940. Fermentation products of wheat germ. (a) Identification of methoxy- and 2 : 6-dimethoxy-p-benzoquinone. (b) Infra-red absorption of some quinones and 1 : 2-dicarbonyl compounds. Journal of the Chemical Society (Resumed). 4821–4821. 11 indexed citations
18.
Cosgrove, Daniel J., et al.. (1952). Isolation of Methoxy- and 2 : 6-Dimethoxy-p-benzoquinone from Fermented Wheat Germ. Nature. 169(4310). 966–967. 18 indexed citations
19.
Whitehead, J. K. & H. R. Bentley. (1952). 287. Preparation and properties of some aliphatic sulphoximines. Journal of the Chemical Society (Resumed). 1572–1572. 32 indexed citations
20.
Bentley, H. R., E. E. McDermott, & J. K. Whitehead. (1951). Action of nitrogen trichloride on certain proteins II. Synthesis of methionine sulphoximine and other sulphoximines. Proceedings of the Royal Society of London. Series B, Biological sciences. 138(891). 265–272. 43 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.

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