Joy Osborne

1.2k total citations
9 papers, 853 citations indexed

About

Joy Osborne is a scholar working on Oncology, Dermatology and Cell Biology. According to data from OpenAlex, Joy Osborne has authored 9 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Dermatology and 3 papers in Cell Biology. Recurrent topics in Joy Osborne's work include Skin Protection and Aging (3 papers), Cutaneous Melanoma Detection and Management (3 papers) and Estrogen and related hormone effects (2 papers). Joy Osborne is often cited by papers focused on Skin Protection and Aging (3 papers), Cutaneous Melanoma Detection and Management (3 papers) and Estrogen and related hormone effects (2 papers). Joy Osborne collaborates with scholars based in United Kingdom, France and United States. Joy Osborne's co-authors include P.E. Hutchinson, James H. Pringle, Andrew G. Smith, Gerald Saldanha, John T. Lear, Richard C. Strange, Anthony A. Fryer, Stéphane Ansieau, Peter J. Hutchinson and Anne Wierinckx and has published in prestigious journals such as The Lancet, Cancer Cell and Free Radical Biology and Medicine.

In The Last Decade

Joy Osborne

9 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy Osborne United Kingdom 9 448 423 173 154 134 9 853
Loay Kassem Egypt 17 282 0.6× 298 0.7× 180 1.0× 116 0.8× 108 0.8× 51 802
Damien Giacchero France 11 258 0.6× 338 0.8× 90 0.5× 145 0.9× 141 1.1× 18 708
Mark Harland United Kingdom 23 840 1.9× 672 1.6× 224 1.3× 251 1.6× 161 1.2× 43 1.3k
Qingqing Ding United States 10 350 0.8× 406 1.0× 61 0.4× 108 0.7× 50 0.4× 34 732
Brinda Alagesan United States 5 189 0.4× 354 0.8× 90 0.5× 97 0.6× 96 0.7× 6 702
Derek L. Dai Canada 14 292 0.7× 629 1.5× 147 0.8× 179 1.2× 23 0.2× 18 1.0k
Desi Pan China 14 248 0.6× 614 1.5× 73 0.4× 82 0.5× 27 0.2× 23 882
Suha Deen United Kingdom 19 307 0.7× 349 0.8× 70 0.4× 244 1.6× 25 0.2× 40 960
Alexander Schütz Germany 16 496 1.1× 505 1.2× 43 0.2× 208 1.4× 30 0.2× 25 1.1k
Siddhartha Deb Australia 20 435 1.0× 660 1.6× 51 0.3× 189 1.2× 87 0.6× 48 1.3k

Countries citing papers authored by Joy Osborne

Since Specialization
Citations

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

Fields of papers citing papers by Joy Osborne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Osborne

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

All Works

9 of 9 papers shown
1.
Hutchinson, P.E., John A. Halsall, Joy Osborne, et al.. (2018). Compromised vitamin D receptor signalling in malignant melanoma is associated with tumour progression and mitogen-activated protein kinase activity. Melanoma Research. 28(5). 410–422. 8 indexed citations
2.
Caramel, Julie, Louise Hill, Gareth J. Browne, et al.. (2013). A Switch in the Expression of Embryonic EMT-Inducers Drives the Development of Malignant Melanoma. Cancer Cell. 24(4). 466–480. 378 indexed citations
3.
Halsall, John A., Joy Osborne, Michael P. Epstein, James H. Pringle, & P.E. Hutchinson. (2009). The unfavorable effect of the A allele of the vitamin D receptor promoter polymorphism A-1012G has different mechanisms related to susceptibility and outcome of malignant melanoma. Dermato-Endocrinology. 1(1). 54–57. 23 indexed citations
4.
Cooke, Marcus S., Joy Osborne, Rajinder Singh, et al.. (2007). Evidence that oxidative stress is a risk factor for the development of squamous cell carcinoma in renal transplant patients. Free Radical Biology and Medicine. 43(9). 1328–1334. 15 indexed citations
5.
McHale, Mark, et al.. (2004). The Development and Characterization of an In Vitro Model of Psoriasis. Journal of Investigative Dermatology. 123(5). 892–901. 78 indexed citations
6.
Shahbazi, Majid, Vera Pravica, Hana Fakhoury, et al.. (2002). Association between functional polymorphism in EGF gene and malignant melanoma. The Lancet. 359(9304). 397–401. 215 indexed citations
7.
Strange, Richard C., Paul R. Hoban, John T. Lear, et al.. (1999). Cytochrome P450 CYP2D6 genotypes. Pharmacogenetics. 9(3). 269–276. 36 indexed citations
8.
Fryer, Anthony A., Richard C. Strange, John T. Lear, et al.. (1998). Susceptibility to Melanoma: Influence of Skin Type and Polymorphism in the Melanocyte Stimulating Hormone Receptor Gene. Journal of Investigative Dermatology. 111(2). 218–221. 54 indexed citations
9.
GRAHAM-BROWN, R.A.C., et al.. (1990). The initial effects on workload and outcome of a public education campaign on early diagnosis and treatment of malignant melanoma in Leicestershire. British Journal of Dermatology. 122(1). 53–59. 46 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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