Fiona Knox

1.8k citations
26 papers · 1.2k · h-index 14

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • HER2/EGFR in Cancer Research

Papers in

Fiona Knox

26 papers receiving 1.2k citations

Peers

Fiona Knox
Comparison fields: 5 of 86
  • Cancer Research 554
  • Oncology 588
  • Pathology and Forensic Medicine 336
  • Dermatology 157
  • Genetics 415
Replace Peter C. Willsher with:
Peter C. Willsher United Kingdom
A. Michael Bilous Australia
Janez Žgajnar Slovenia
Artemio Payá Spain
Pandora Ashley United States
Furio Maggiorotto Italy
Stuart McIntosh United Kingdom
Guido M.J.M. Roemen Netherlands
Fentiman Is United Kingdom
Umberto Veronesi Italy
Fiona Knox relative to Peter C. Willsher United Kingdom Peter C. Willsher's profile →
Citations per field
00.5×1.5×2.5×
Peter C. Willsher · 1×
Citations per year

Countries citing papers authored by Fiona Knox

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Knox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008335
2 2008259
3 2007207
4 200967
5 200658
6 199843
7 201042
8 201332
9 199730
10 200625
11 200621
12 199619
13 200516
14 198214
15
Can preoperative factors predict for residual malignancy after breast biopsy for invasive cancer?
199513
16 200912
17 19947
18 20207
19 20065
20 20234

About Fiona Knox

Fiona Knox is a scholar working on Oncology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Estrogen and related hormone effects (6 papers), HER2/EGFR in Cancer Research (5 papers), Breast Lesions and Carcinomas (4 papers), Advanced Breast Cancer Therapies (3 papers), Complementary and Alternative Medicine Studies (3 papers), Anesthesia and Pain Management (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Cancer Research (554 citations), Oncology (588 citations), Pathology and Forensic Medicine (336 citations), Dermatology (157 citations) and Genetics (415 citations). Fiona Knox has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include Nigel Bundred, Bilal Alkhaffaf, Denis Larsimont, P J Carder, Valerie Speirs, John Forbes, Janine Salter, Craig Allred, Antonio Llombart‐Cussac and Hugh Bishop. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, The Breast, Cochrane Database of Systematic Reviews 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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