Janet Taylor

727 total citations
10 papers, 505 citations indexed

About

Janet Taylor is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Janet Taylor has authored 10 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Janet Taylor's work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Janet Taylor is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Janet Taylor collaborates with scholars based in United Kingdom, Netherlands and Germany. Janet Taylor's co-authors include Catharine West, Joely J. Irlam, Peter Hoskin, Crispin Miller, Helen Denley, Amanda Eustace, Adrian L. Harris, Francesca M. Buffa, John Hall and Ana M. Rojas and has published in prestigious journals such as Blood, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Janet Taylor

10 papers receiving 500 citations

Peers

Janet Taylor

CR

MB

PRM

ONCOL

SURGE

Daniel E. Soto United States

Shengming Jin China

E Sivridis Greece

Go Oshima United States

Walter M. Sahijdak United States

Mina Waraya Japan

Kilian Mellon United Kingdom

Priyamal Silva United Kingdom

C. Stucchi Italy

Gang Cai China

Daniel E. Soto United States

Janet Taylor

136 ×0.4

CR

193 ×0.7

MB

203 ×1.6

PRM

169 ×1.7

ONCOL

147 ×1.7

SURGE

Citations per year, relative to Janet Taylor Janet Taylor (= 1×) peers Daniel E. Soto

Countries citing papers authored by Janet Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Janet Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Taylor

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

All Works

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10 of 10 papers shown

1.

Linton, Kim, Nicholas Counsell, Janet Taylor, et al.. (2020). Enhanced Outcome Prediction in Early Stage Classical Hodgkin Lymphoma Using Pre-Treatment Biomarkers and Interim PET (BioPET); A Sub-Analysis of the UK NCRI RAPID Trial. Blood. 136(Supplement 1). 18–19. 2 indexed citations

2.

Yang, Lingjian, Janet Taylor, Amanda Eustace, et al.. (2017). A Gene Signature for Selecting Benefit from Hypoxia Modification of Radiotherapy for High-Risk Bladder Cancer Patients. Clinical Cancer Research. 23(16). 4761–4768. 89 indexed citations

3.

Gozdecka, Malgorzata, Saki Kondo, Janet Taylor, et al.. (2014). JNK Suppresses Tumor Formation via a Gene-Expression Program Mediated by ATF2. Cell Reports. 9(4). 1361–1374. 32 indexed citations

4.

Hall, John, Joana M. Senra, Janet Taylor, et al.. (2014). Investigation of Radiosensitivity Gene Signatures in Cancer Cell Lines. PLoS ONE. 9(1). e86329–e86329. 45 indexed citations

5.

Eustace, Amanda, Navin Mani, Paul N. Span, et al.. (2013). A 26-Gene Hypoxia Signature Predicts Benefit from Hypoxia-Modifying Therapy in Laryngeal Cancer but Not Bladder Cancer. Clinical Cancer Research. 19(17). 4879–4888. 167 indexed citations

6.

Hall, John, Lucile Armenoult, Janet Taylor, et al.. (2013). Poor Prognosis Associated With Human Papillomavirus α7 Genotypes in Cervical Carcinoma Cannot Be Explained by Intrinsic Radiosensitivity. International Journal of Radiation Oncology*Biology*Physics. 85(5). e223–e229. 8 indexed citations

7.

Eustace, Amanda, Joely J. Irlam, Janet Taylor, et al.. (2013). Necrosis predicts benefit from hypoxia-modifying therapy in patients with high risk bladder cancer enrolled in a phase III randomised trial. Radiotherapy and Oncology. 108(1). 40–47. 44 indexed citations

8.

Hall, John, Janet Taylor, Helen Valentine, et al.. (2012). Enhanced stability of microRNA expression facilitates classification of FFPE tumour samples exhibiting near total mRNA degradation. British Journal of Cancer. 107(4). 684–694. 111 indexed citations

9.

Holt, Robert J., Timothy S. Davison, Claire Wilson, et al.. (2012). Implications for Powering Biomarker Discovery Studies. Journal of Molecular Diagnostics. 14(2). 130–139. 6 indexed citations

10.

Carnell, Dawn, et al.. (2003). Evaluation of hypoxia within human prostate carcinoma using quantified bold MRI and pimonidazole immunohistochemical mapping. UCL Discovery (University College London). 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.

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