Grace Shaw

963 citations
12 papers · 383 · h-index 5

Impact in

Papers in

    • Prostate Cancer Treatment and Research 10
    • Prostate Cancer Diagnosis and Treatment 1
    • Bone health and treatments 2
    • Inflammatory Biomarkers in Disease Prognosis 1
    • Cancer Immunotherapy and Biomarkers 1

Grace Shaw

11 papers receiving 382 citations

Peers

Grace Shaw
Comparison fields: 5 of 33
  • Pulmonary and Respiratory Medicine 299
  • Cancer Research 92
  • Radiology, Nuclear Medicine and Imaging 54
  • Oncology 59
  • Endocrinology, Diabetes and Metabolism 15
Replace N. Agarwal with:
N. Agarwal United States
Mai N. Van Netherlands
Carolyn Evan United States
George Daniel Rădăvoi Romania
Oliver Sartor United States
Teresa Parli United States
Ruth Riisnaes United Kingdom
Ayse Ӧzatılgan France
Bettina Noerby United States
Takayuki Sumiyoshi Japan
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Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by Grace Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Grace Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Grace Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Grace Shaw Line = papers co-authored together Grace Shaw links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018181
2 2018121
3 201949
4 201716
5 20205
6 20203
7 20173
8
Histological Validation of in-vivo VERDICT MRI for Prostate using 3D Personalised Moulds
20182
9 20201
10 20181
11 20181
12 20200

About Grace Shaw

Grace Shaw is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Genetics, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Bone health and treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (299 citations), Cancer Research (92 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Oncology (59 citations) and Endocrinology, Diabetes and Metabolism (15 citations). Grace Shaw has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Kathryn P. Gray, Brandon Bernard, Christopher J. Sweeney, Carolyn Evan, Anis Hamid, Edoardo Francini, Philip W. Kantoff, Mary‐Ellen Taplin, Niall M. Corcoran and Massimo Loda. Their work appears in journals such as Journal of Clinical Oncology, Prostate Cancer and Prostatic Diseases, Annals of Oncology, The Prostate and Clinical Genitourinary Cancer.

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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