Penelope Moyle

1.2k total citations
28 papers, 762 citations indexed

About

Penelope Moyle is a scholar working on Reproductive Medicine, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Penelope Moyle has authored 28 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Reproductive Medicine, 8 papers in Pathology and Forensic Medicine and 7 papers in Surgery. Recurrent topics in Penelope Moyle's work include Breast Lesions and Carcinomas (8 papers), Ovarian cancer diagnosis and treatment (7 papers) and MRI in cancer diagnosis (5 papers). Penelope Moyle is often cited by papers focused on Breast Lesions and Carcinomas (8 papers), Ovarian cancer diagnosis and treatment (7 papers) and MRI in cancer diagnosis (5 papers). Penelope Moyle collaborates with scholars based in United Kingdom, Australia and South Sudan. Penelope Moyle's co-authors include Evis Sala, Helen Addley, Masako Kataoka, Robin Crawford, Peter Beddy, R. Sinnatamby, Adam Kenji Yamamoto, David J. Lomas, Ilse Joubert and Luke Sonoda and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Penelope Moyle

25 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penelope Moyle United Kingdom 13 265 259 240 240 155 28 762
J. Chopier France 15 343 1.3× 179 0.7× 316 1.3× 262 1.1× 69 0.4× 54 886
Helen Addley United Kingdom 18 611 2.3× 208 0.8× 628 2.6× 393 1.6× 170 1.1× 35 1.2k
Sait Okkan Türkiye 15 124 0.5× 152 0.6× 212 0.9× 96 0.4× 173 1.1× 39 654
Shinichi Togami Japan 15 188 0.7× 66 0.3× 330 1.4× 72 0.3× 85 0.5× 80 597
Sabine Malur Germany 9 429 1.6× 134 0.5× 666 2.8× 65 0.3× 75 0.5× 15 899
Izumi Koike Japan 16 61 0.2× 111 0.4× 132 0.6× 129 0.5× 198 1.3× 50 729
J Buchmann Germany 11 106 0.4× 176 0.7× 135 0.6× 252 1.1× 37 0.2× 29 636
Nikolaus de Gregorio Germany 16 212 0.8× 113 0.4× 295 1.2× 35 0.1× 77 0.5× 73 702
Robbert J.H.A. Tersteeg Netherlands 12 107 0.4× 171 0.7× 479 2.0× 300 1.3× 110 0.7× 13 862
C.J.M. Hoekstra Netherlands 12 58 0.2× 124 0.5× 99 0.4× 88 0.4× 200 1.3× 27 508

Countries citing papers authored by Penelope Moyle

Since Specialization
Citations

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

Fields of papers citing papers by Penelope Moyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penelope Moyle

This figure shows the co-authorship network connecting the top 25 collaborators of Penelope Moyle. A scholar is included among the top collaborators of Penelope Moyle 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 Penelope Moyle. Penelope Moyle 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.
Morris, Kirsten, Nicholas Roy Payne, Penelope Moyle, et al.. (2024). Introduction of automated breast ultrasound as an additional screening tool for dense breasts in the UK: a practical approach from the BRAID trial. Clinical Radiology. 79(5). e641–e650. 2 indexed citations
2.
Abeyakoon, Oshaani, Ramona Woitek, Matthew Wallis, et al.. (2022). An optoacoustic imaging feature set to characterise blood vessels surrounding benign and malignant breast lesions. Photoacoustics. 27. 100383–100383. 13 indexed citations
3.
Moyle, Penelope, et al.. (2021). Sebaceous carcinoma of the chest wall: A case report. SHILAP Revista de lepidopterología. 16(7). 1870–1873. 1 indexed citations
5.
Vinnicombe, Sarah, H. Benjamin Harvey, Nuala Healy, et al.. (2021). Introduction of an abbreviated breast MRI service in the UK as part of the BRAID trial: practicalities, challenges, and future directions. Clinical Radiology. 76(6). 427–433. 12 indexed citations
6.
Moyle, Penelope, et al.. (2020). Recurrent myoid hamartoma of the breast mimicking malignancy. SHILAP Revista de lepidopterología. 16(2). 295–299. 1 indexed citations
7.
Kankam, Hadyn, Adam Duckworth, Penelope Moyle, et al.. (2020). Achieving margin clearance following oncoplastic breast surgery in comparison with simple wide local excision: a three‐dimensional specimen assessment. ANZ Journal of Surgery. 90(11). 2346–2352. 6 indexed citations
8.
Yang, Jennie H. M., Danijela Tatović, Mohammad Alhadj Ali, et al.. (2019). Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry. Frontiers in Immunology. 10. 12 indexed citations
9.
Addley, Helen, Penelope Moyle, & Susan Freeman. (2017). Diffusion-weighted imaging in gynaecological malignancy. Clinical Radiology. 72(11). 981–990. 22 indexed citations
10.
Parkinson, Christine, Davina Gale, Anna Piskorz, et al.. (2016). Exploratory Analysis of TP53 Mutations in Circulating Tumour DNA as Biomarkers of Treatment Response for Patients with Relapsed High-Grade Serous Ovarian Carcinoma: A Retrospective Study. PLoS Medicine. 13(12). e1002198–e1002198. 204 indexed citations
11.
Makris, Angela, et al.. (2012). Parasitic fibroid and pseudo–Meigs’ syndrome: Co-existence of two rare entities. Journal of Obstetrics and Gynaecology. 32(4). 408–409. 5 indexed citations
12.
Beddy, Peter, Penelope Moyle, Masako Kataoka, et al.. (2011). Evaluation of Depth of Myometrial Invasion and Overall Staging in Endometrial Cancer: Comparison of Diffusion-weighted and Dynamic Contrast-enhanced MR Imaging. Radiology. 262(2). 530–537. 142 indexed citations
13.
Moyle, Penelope, Helen Addley, & Evis Sala. (2010). Radiological Staging of Ovarian Carcinoma. Seminars in Ultrasound CT and MRI. 31(5). 388–398. 17 indexed citations
14.
Britton, P.D., Penelope Moyle, John R. Benson, et al.. (2010). Ultrasound of the axilla: where to look for the sentinel lymph node. Clinical Radiology. 65(5). 373–376. 20 indexed citations
15.
Moyle, Penelope, et al.. (2010). Nonovarian Cystic Lesions of the Pelvis. Radiographics. 30(4). 921–938. 67 indexed citations
16.
Moyle, Penelope, et al.. (2010). Incidental breast lesions detected on CT: what is their significance?. British Journal of Radiology. 83(987). 233–240. 51 indexed citations
17.
Addley, Helen, Hebert Alberto Vargas, Penelope Moyle, Robin Crawford, & Evis Sala. (2010). Pelvic Imaging Following Chemotherapy and Radiation Therapy for Gynecologic Malignancies. Radiographics. 30(7). 1843–1856. 58 indexed citations
18.
Beddy, Peter, et al.. (2010). T1-weighted Fat-suppressed Imaging of the Pelvis with a Dual-Echo Dixon Technique: Initial Clinical Experience. Radiology. 258(2). 583–589. 22 indexed citations
19.
Britton, P.D., S. Barter, M. Gaskarth, et al.. (2008). Ultrasound guided percutaneous axillary lymph node core biopsy: How often is the sentinel lymph node being biopsied?. The Breast. 18(1). 13–16. 39 indexed citations
20.
Groves, Ashley M., Gordon Wishart, Manu Shastry, et al.. (2008). Metabolic–flow relationships in primary breast cancer: feasibility of combined PET/dynamic contrast-enhanced CT. European Journal of Nuclear Medicine and Molecular Imaging. 36(3). 416–421. 35 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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