John Kane

1.3k total citations
34 papers, 982 citations indexed

About

John Kane is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, John Kane has authored 34 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 7 papers in Reproductive Medicine. Recurrent topics in John Kane's work include Ovarian function and disorders (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Hormonal and reproductive studies (5 papers). John Kane is often cited by papers focused on Ovarian function and disorders (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Hormonal and reproductive studies (5 papers). John Kane collaborates with scholars based in United Kingdom, United States and France. John Kane's co-authors include Norman L. Jones, D. G. Robertson, Jonathan Middle, D. C. Anderson, H. Mamtora, Jason Higginson, J. B. O'Driscoll, Pankaj Vadgama, E Gowland and Eli H. Botvinick and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Journal of Materials Chemistry.

In The Last Decade

John Kane

34 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Kane United Kingdom 18 226 202 189 153 144 34 982
Jennifer L. Dorosz United States 11 559 2.5× 316 1.6× 58 0.3× 49 0.3× 201 1.4× 18 1.1k
Rebecca V. Vince United Kingdom 20 152 0.7× 100 0.5× 109 0.6× 130 0.8× 92 0.6× 52 1.1k
Joseph Marino United States 18 115 0.5× 151 0.7× 59 0.3× 107 0.7× 278 1.9× 50 1.3k
Rex B. Shafer United States 22 143 0.6× 267 1.3× 177 0.9× 53 0.3× 342 2.4× 89 1.3k
G Cathelineau France 16 120 0.5× 469 2.3× 22 0.1× 95 0.6× 235 1.6× 52 1.4k
Sean Cunningham Ireland 15 192 0.8× 329 1.6× 110 0.6× 138 0.9× 272 1.9× 30 885
Lars Thorbjørn Jensen Denmark 20 127 0.6× 161 0.8× 99 0.5× 19 0.1× 163 1.1× 60 962
R. Gasser Austria 18 455 2.0× 160 0.8× 129 0.7× 8 0.1× 143 1.0× 88 1.2k
Risto Erkkola Finland 17 132 0.6× 365 1.8× 96 0.5× 176 1.2× 241 1.7× 41 1.1k
Jan Brundin Sweden 19 111 0.5× 125 0.6× 53 0.3× 161 1.1× 108 0.8× 53 1.2k

Countries citing papers authored by John Kane

Since Specialization
Citations

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

Fields of papers citing papers by John Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Kane

This figure shows the co-authorship network connecting the top 25 collaborators of John Kane. A scholar is included among the top collaborators of John Kane 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 John Kane. John Kane 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.
Kane, John, et al.. (2022). Activity budgets of black and gold howler monkeys living in urban and natural habitats in southwest Paraguay. Neotropical Primates. 28(1-2). 53–61. 2 indexed citations
2.
Livingston, Mark, et al.. (2016). Macroprolactin: the Role of Serial Measurement Throughout Pregnancy. 2(3). e17–e20. 1 indexed citations
3.
Livingston, Mark, et al.. (2015). Should Free Thyroxine Go Back into the Routine Thyroid Profile?. Experimental and Clinical Endocrinology & Diabetes. 123(10). 594–597. 7 indexed citations
4.
Reed, P, et al.. (2013). Consideration of the degree of increase in urine metadrenalines provides superior specificity in the diagnosis of phaeochromocytoma than additional urine catecholamine measurement. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 50(1). 73–75. 1 indexed citations
5.
Heald, AH, et al.. (2012). Quantitative Adjustment for Macroprolactin is an Integral Part of Laboratory Assessment of Hyperprolactinaemia. Experimental and Clinical Endocrinology & Diabetes. 120(6). 376–380. 5 indexed citations
6.
Middle, Jonathan & John Kane. (2009). Oestradiol assays: fitness for purpose?. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 46(6). 441–456. 27 indexed citations
7.
Kane, John, Jonathan Middle, & MARION L. CAWOOD. (2007). Measurement of serum testosterone in women; what should we do?. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 44(1). 5–15. 31 indexed citations
8.
9.
Ivison, Fiona, John Kane, Jacqueline E. Pearson, James W. Kenny, & Pankaj Vadgama. (2000). Development of a Redox Mediated Amperometric Detection System for Immunoassay. Application to Urinary Amphetamine Screening. Electroanalysis. 12(10). 778–785. 14 indexed citations
10.
Oliver, Robert L., et al.. (1999). Do immunoassays differentially detect different acidity glycoforms of FSH?. Clinical Endocrinology. 51(6). 681–686. 5 indexed citations
11.
Kane, John, et al.. (1999). Systemic Bioavailability and Potency of High-Dose Inhaled Corticosteroids. CHEST Journal. 115(5). 1278–1284. 35 indexed citations
12.
Wassell, Julie, Paul Reed, John Kane, & C Weinkove. (1999). Freedom from Drug Interference in New Immunoassays for Urinary Catecholamines and Metanephrines. Clinical Chemistry. 45(12). 2216–2223. 25 indexed citations
13.
Pearson, Jacqueline E., et al.. (1998). Surface plasmon resonance: a study of the effect of biotinylation on the selection of antibodies for use in immunoassays. Journal of Immunological Methods. 221(1-2). 87–94. 21 indexed citations
14.
15.
BU'LOCK, D. E., et al.. (1991). Use of the Difference Plot in Determining Bias in Luteinizing Hormone Immunoassay. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 28(5). 517–518. 1 indexed citations
16.
Littley, M D, et al.. (1990). Basal Serum Dehydroepiandrosterone Sulphate Concentration Does Not Predict the Cortisol Response to Provocative Testing. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 27(6). 557–561. 6 indexed citations
17.
Kane, John. (1979). Use of Sodium Salicylate as a Blocking Agent for Cortisol-Binding-Globulin in a Radioimmunoassay for Cortisol on Unextracted Plasma. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 16(1-6). 209–212. 22 indexed citations
18.
Kane, John, et al.. (1975). Determination of hemoglobin-oxygen affinity on micro samples.. PubMed. 85(2). 329–36. 2 indexed citations
19.
Jones, Norman L., et al.. (1972). Effect of hypoxia on free fatty acid metabolism during exercise.. Journal of Applied Physiology. 33(6). 733–738. 32 indexed citations
20.
Jones, Norman L., D. G. Robertson, John Kane, & E. J. M. Campbell. (1972). Effect of P CO2 level on alveolar-arterial P CO2 difference during rebreathing.. Journal of Applied Physiology. 32(6). 782–787. 25 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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