Sarah Avery

1.3k total citations · 1 hit paper
16 papers, 918 citations indexed

About

Sarah Avery is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sarah Avery has authored 16 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pathology and Forensic Medicine and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sarah Avery's work include MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Imaging Techniques and Applications (6 papers). Sarah Avery is often cited by papers focused on MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Imaging Techniques and Applications (6 papers). Sarah Avery collaborates with scholars based in United States, United Kingdom and Australia. Sarah Avery's co-authors include Joy C. MacDermid, David M. Walton, Charlie H. Goldsmith, Mark K. Wax, Hassan H. Ramadan, Anna G. Sorace, John Virostko, Boone Goodgame, Debra A. Patt and Thomas E. Yankeelov and has published in prestigious journals such as Cancer Research, Nature Protocols and Magnetic Resonance in Medicine.

In The Last Decade

Sarah Avery

16 papers receiving 892 citations

Hit Papers

Measurement Properties of the Neck Disability Index: A Sy... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Avery United States 9 468 265 243 157 140 16 918
Arthur Ameis Canada 10 387 0.8× 188 0.7× 192 0.8× 89 0.6× 85 0.6× 14 661
Cathy Chapple New Zealand 19 337 0.7× 112 0.4× 435 1.8× 56 0.4× 68 0.5× 45 1.0k
Anne Julsrud Haugen Norway 20 391 0.8× 335 1.3× 289 1.2× 45 0.3× 53 0.4× 47 910
Filippo Maselli Italy 18 322 0.7× 148 0.6× 225 0.9× 88 0.6× 24 0.2× 82 744
Daniel M. Cushman United States 19 193 0.4× 283 1.1× 513 2.1× 57 0.4× 66 0.5× 116 1.2k
Lars Grøvle Norway 19 516 1.1× 477 1.8× 277 1.1× 53 0.3× 29 0.2× 45 1.0k
Ferhan Cantürk Türkiye 20 211 0.5× 90 0.3× 221 0.9× 73 0.5× 69 0.5× 46 1.1k
Fouad Fayad France 21 638 1.4× 327 1.2× 841 3.5× 56 0.4× 35 0.3× 56 1.4k
Berit Schiøttz‐Christensen Denmark 20 588 1.3× 432 1.6× 271 1.1× 116 0.7× 26 0.2× 99 1.5k
Alexandra Rören France 17 315 0.7× 179 0.7× 554 2.3× 59 0.4× 41 0.3× 58 928

Countries citing papers authored by Sarah Avery

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Avery

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

All Works

16 of 16 papers shown
1.
Koo, Yu Xuan, et al.. (2025). Quality of Decision-making at Oncology Multidisciplinary Team Meetings: A Structured Observational Study. Clinical Oncology. 47. 103942–103942. 1 indexed citations
2.
DiCarlo, Julie C., Angela M. Jarrett, John Virostko, et al.. (2022). Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast. Magnetic Resonance in Medicine. 89(3). 1134–1150. 2 indexed citations
3.
Jarrett, Angela M., Chengyue Wu, John Virostko, et al.. (2021). Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting. Nature Protocols. 16(11). 5309–5338. 26 indexed citations
4.
Virostko, John, Chengyue Wu, Anna G. Sorace, et al.. (2021). The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy. European Journal of Radiology. 136. 109534–109534. 2 indexed citations
5.
Virostko, John, Anna G. Sorace, Angela M. Jarrett, et al.. (2021). Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting. Breast Cancer Research. 23(1). 110–110. 10 indexed citations
6.
Jarrett, Angela M., David A. Hormuth, Chengyue Wu, et al.. (2020). Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data. Neoplasia. 22(12). 820–830. 38 indexed citations
7.
Jarrett, Angela M., David A. Hormuth, Chengyue Wu, et al.. (2020). Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results. Cancer Research. 80(4_Supplement). P2–16. 4 indexed citations
8.
Virostko, John, Anna G. Sorace, Chengyue Wu, et al.. (2019). Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy. Tomography. 5(1). 44–52. 6 indexed citations
9.
Virostko, John, et al.. (2019). Abstract P1-01-02: Quantitative breast MRI to predict response to neoadjuvant therapy in community imaging centers: Preliminary results. Cancer Research. 79(4_Supplement). P1–1. 1 indexed citations
10.
Virostko, John, et al.. (2018). Abstract P4-02-08: Repeatability and reproducibility of quantitative breast MRI in community imaging centers: Preliminary results. Cancer Research. 78(4_Supplement). P4–2. 2 indexed citations
11.
Sorace, Anna G., Chengyue Wu, Angela M. Jarrett, et al.. (2018). Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. Journal of Magnetic Resonance Imaging. 48(3). 695–707. 42 indexed citations
13.
Richards, Suzanne H, Rachel Winder, Clare Seamark, et al.. (2011). The experiences and needs of people seeking palliative health care out-of-hours: a qualitative study. Primary Health Care Research & Development. 12(2). 165–178. 25 indexed citations
14.
MacDermid, Joy C., et al.. (2009). Measurement Properties of the Neck Disability Index: A Systematic Review. Journal of Orthopaedic and Sports Physical Therapy. 39(5). 400–C12. 654 indexed citations breakdown →
15.
Richards, Suzanne H, Rachel Winder, David Seamark, et al.. (2008). Accessing out-of-hours care following implementation of the GMS contract: an observational study. British Journal of General Practice. 58(550). 331–338. 12 indexed citations
16.
Ramadan, Hassan H., Mark K. Wax, & Sarah Avery. (1998). Outcome and Changing Cause of Unilateral Vocal Cord Paralysis. Otolaryngology. 118(2). 199–202. 72 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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