Morag Taylor

1.0k total citations · 1 hit paper
15 papers, 772 citations indexed

About

Morag Taylor is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Morag Taylor has authored 15 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Morag Taylor's work include Gut microbiota and health (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Genomics and Diagnostics (3 papers). Morag Taylor is often cited by papers focused on Gut microbiota and health (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Genomics and Diagnostics (3 papers). Morag Taylor collaborates with scholars based in United Kingdom, Italy and Canada. Morag Taylor's co-authors include Philip Quirke, Henry M. Wood, Suparna Mitra, Paul M. Loadman, Giles J. Toogood, Louise Dye, Fiona Croden, Mark A. Hull, Henry Watson and Sarah Perry and has published in prestigious journals such as Gut, Science Advances and British Journal of Cancer.

In The Last Decade

Morag Taylor

15 papers receiving 762 citations

Hit Papers

A randomised trial of the effect of omega-3 polyunsaturat... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morag Taylor United Kingdom 9 323 250 189 123 118 15 772
Maria Kulecka Poland 18 464 1.4× 83 0.3× 174 0.9× 101 0.8× 146 1.2× 67 871
Umaima Al‐Alem United States 14 300 0.9× 93 0.4× 160 0.8× 154 1.3× 74 0.6× 21 895
Paramee Thongsuksai Thailand 15 277 0.9× 186 0.7× 132 0.7× 135 1.1× 156 1.3× 59 856
Carole Brosseau France 16 256 0.8× 92 0.4× 86 0.5× 39 0.3× 37 0.3× 28 723
Heping Zhao China 12 404 1.3× 121 0.5× 74 0.4× 122 1.0× 154 1.3× 33 748
Yu Na Kang South Korea 21 287 0.9× 159 0.6× 68 0.4× 209 1.7× 133 1.1× 63 1.0k
Martin Joyce‐Brady United States 19 511 1.6× 143 0.6× 88 0.5× 338 2.7× 82 0.7× 31 1.0k
Sicong Ma China 18 301 0.9× 97 0.4× 88 0.5× 31 0.3× 84 0.7× 27 646
Krystyna Gałązka Poland 16 112 0.3× 119 0.5× 61 0.3× 42 0.3× 33 0.3× 68 776

Countries citing papers authored by Morag Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Morag Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morag Taylor

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

All Works

15 of 15 papers shown
1.
Chau, Chalmers, Georgette Tanner, Morag Taylor, et al.. (2024). Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells. Science Advances. 10(10). eadl0515–eadl0515. 17 indexed citations
2.
Robinson, Kevin P., Maria Beger, Ian Carr, et al.. (2024). Environmental DNA reveals fine‐scale spatial and temporal variation of marine mammals and their prey species in a Scottish marine protected area. Environmental DNA. 6(4). 8 indexed citations
3.
Watson, Christopher M., Ian Carr, Martin McKibbin, et al.. (2023). Long-Read Nanopore Sequencing of RPGR ORF15 is Enhanced Following DNase I Treatment of MinION Flow Cells. Molecular Diagnosis & Therapy. 27(4). 525–535. 4 indexed citations
4.
Kanatas, Anastasios, Preetha Chengot, T.K. Ong, et al.. (2018). Genomic analysis to assess disease progression and recurrence in patients with oral squamous cell carcinoma: – a preliminary study. British Journal of Oral and Maxillofacial Surgery. 56(3). 198–205. 2 indexed citations
5.
Gracie, David J., Caroline Young, Henry M. Wood, et al.. (2018). No Significant Association Between the Fecal Microbiome and the Presence of Irritable Bowel Syndrome-type Symptoms in Patients with Quiescent Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 24(7). 1597–1605. 21 indexed citations
6.
Watson, Henry, Suparna Mitra, Fiona Croden, et al.. (2017). A randomised trial of the effect of omega-3 polyunsaturated fatty acid supplements on the human intestinal microbiota. Gut. 67(11). 1974–1983. 379 indexed citations breakdown →
7.
Seligmann, Jenny F., Henry M. Wood, Susan D. Richman, et al.. (2017). Epidermal growth factor receptor (EGFR) copy number (CN) as a biomarker of prognosis and panitumumab (Pan) benefit in RAS-wt advanced colorectal cancer (aCRC). Annals of Oncology. 28. v185–v185. 2 indexed citations
8.
Sharkey, Annabel, Luke Martinson, John Le Quesne, et al.. (2017). P3.03-005 Inhibition of PRMT5 is Synthetic Lethal in Mesotheliomas Harboring MTAP Loss. Journal of Thoracic Oncology. 12(1). S1346–S1346. 1 indexed citations
9.
Gollins, Simon, Nicholas P. West, David Sebag‐Montefiore, et al.. (2017). Preoperative chemoradiation with capecitabine, irinotecan and cetuximab in rectal cancer: significance of pre-treatment and post-resection RAS mutations. British Journal of Cancer. 117(9). 1286–1294. 18 indexed citations
10.
Wood, Henry M., Joseph Foster, Morag Taylor, et al.. (2017). Comparing mutation calls in fixed tumour samples between the affymetrix OncoScan® array and PCR based next-generation sequencing. BMC Medical Genomics. 10(1). 17–17. 6 indexed citations
11.
Mitra, Suparna, C. H. Chilton, Jane Freeman, et al.. (2017). Preservation of Gut Microbiome Following Ridinilazole vs. Fidaxomicin Treatment of Clostridium difficile Infection. Open Forum Infectious Diseases. 4(suppl_1). S526–S527. 4 indexed citations
12.
Taylor, Morag, Henry M. Wood, Stephen P Halloran, & Philip Quirke. (2016). Examining the potential use and long-term stability of guaiac faecal occult blood test cards for microbial DNA 16S rRNA sequencing. Journal of Clinical Pathology. 70(7). 600–606. 12 indexed citations
13.
Foster, Joseph, Assa Oumie, Fiona S. Togneri, et al.. (2015). Cross-laboratory validation of the OncoScan® FFPE Assay, a multiplex tool for whole genome tumour profiling. BMC Medical Genomics. 8(1). 5–5. 71 indexed citations
14.
Richman, Susan D., Katie Southward, Philip Chambers, et al.. (2015). HER2 overexpression and amplification as a potential therapeutic target in colorectal cancer: analysis of 3256 patients enrolled in the QUASAR, FOCUS and PICCOLO colorectal cancer trials. The Journal of Pathology. 238(4). 562–570. 183 indexed citations
15.
Ellard, Susan, Caroline Lohrisch, Karen A. Gelmon, et al.. (2013). A prospective clinical utility and pharmacoeconomic study of the impact of the 21-gene Recurrence Score® assay in oestrogen receptor positive node negative breast cancer. European Journal of Cancer. 49(11). 2469–2475. 44 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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