Katherine Fairhurst

801 citations
18 papers · 187 · h-index 9

Impact in

Papers in

    • Breast Implant and Reconstruction 4
    • Surgical Simulation and Training 3
    • Breast Cancer Treatment Studies 6

Katherine Fairhurst

14 papers receiving 184 citations

Peers

Katherine Fairhurst
Comparison fields: 5 of 49
  • Surgery 105
  • Health Informatics 3
  • Statistics, Probability and Uncertainty 15
  • Cancer Research 29
  • Hepatology 12
Replace Tsz Ngai Mok with:
Tsz Ngai Mok China
Michael Wucherer Germany
Jordi Navinés Spain
Rowland W. Pettit United States
Stephanie Novak United States
Domenech Asbun United States
Jacob C. Hodges United States
Lyn Edmonds United Kingdom
Gabriel S. Makar United States
María Dolores Albaladejo-Otón Spain
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Citations per field
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Tsz Ngai Mok · 1×
Citations per year

Countries citing papers authored by Katherine Fairhurst

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Fairhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201043
2 201024
3 201821
4 201920
5 202417
6 201117
7 201616
8 20229
9 20129
10 20244
11 20214
12 20231
13 20231
14 20091
15 20250
16 20250
17 20240
18 20150

About Katherine Fairhurst

Katherine Fairhurst is a scholar working on Surgery, Cancer Research, Oncology, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 187 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Breast Implant and Reconstruction (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Global Cancer Incidence and Screening (4 papers), Anatomy and Medical Technology (3 papers), Surgical Simulation and Training (3 papers), Health and Medical Research Impacts (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Surgery (105 citations), Health Informatics (3 citations), Statistics, Probability and Uncertainty (15 citations), Cancer Research (29 citations) and Hepatology (12 citations). Katherine Fairhurst has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include Guy J. Maddern, Andrew Strickland, Carrol Gamble, Ceri Rowlands, Shelley Potter, Jane Blazeby, Peter J. Hewett, Thomas Satyadas, Jonathan Rees and Leila Rooshenas. Their work appears in journals such as BMJ Open, Surgical Endoscopy, Annals of Surgical Oncology, BJS Open and Journal of surgical education.

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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