Suzanne Parry

3.0k citations
46 papers · 1.7k · h-index 23

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer and Skin Lesions

Papers in

    • HER2/EGFR in Cancer Research 7
    • Cancer Cells and Metastasis 4
    • Wnt/β-catenin signaling in development and cancer 3

Suzanne Parry

39 papers receiving 1.6k citations

Peers

Suzanne Parry
Comparison fields: 5 of 92
  • Cancer Research 544
  • Dermatology 253
  • Pathology and Forensic Medicine 471
  • Oncology 646
  • Molecular Biology 586
Replace Felipe C. Geyer with:
Felipe C. Geyer United Kingdom
J. S. Reis-Filho United Kingdom
Sadako Akashi‐Tanaka Japan
Laura Fulford United Kingdom
Hannah Y. Wen United States
Muzaffar Akram United States
L Andrac France
B A Gusterson United Kingdom
Arthur K.C. Lee United States
F P O’Malley Canada
Suzanne Parry relative to Felipe C. Geyer United Kingdom Felipe C. Geyer's profile →
Citations per field
00.5×1.5×
Felipe C. Geyer · 1×
Citations per year

Countries citing papers authored by Suzanne Parry

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Parry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suzanne Parry, 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 Suzanne Parry Line = papers co-authored together Suzanne Parry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005219
2 2004207
3 2009139
4 2008132
5 200293
6 201285
7 200781
8 200767
9 200964
10 200462
11 200857
12 200856
13 201046
14 201845
15 200738
16 200635
17 200934
18 201331
19 201628
20 200727

About Suzanne Parry

Suzanne Parry is a scholar working on Oncology, Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), HER2/EGFR in Cancer Research (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Breast Lesions and Carcinomas (5 papers), Cancer Cells and Metastasis (4 papers), Cancer and Skin Lesions (4 papers), Cancer Genomics and Diagnostics (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cancer Research (544 citations), Dermatology (253 citations), Pathology and Forensic Medicine (471 citations), Oncology (646 citations) and Molecular Biology (586 citations). Suzanne Parry has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jorge S. Reis‐Filho, Sunil R. Lakhani, Kay Savage, Peter T. Simpson, Chris Jones, Caterina Marchiò, Sarah E. Pinder, Alan Mackay, Betania Mahler‐Araujo and Alan Ashworth. Their work appears in journals such as The Journal of Pathology, Journal of Clinical Pathology, The Journal of Pathology Clinical Research, The American Journal of Surgical Pathology and Cancer Research.

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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