Fiona MacNeill

2.2k citations
65 papers · 1.3k · h-index 19

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Lymphatic System and Diseases
    • HER2/EGFR in Cancer Research

Papers in

Fiona MacNeill

62 papers receiving 1.3k citations

Peers

Fiona MacNeill
Comparison fields: 5 of 75
  • Cancer Research 556
  • Oncology 344
  • Pathology and Forensic Medicine 170
  • Surgery 409
  • Microbiology 5
Replace Shelley Hwang with:
Shelley Hwang United States
Jai Min Ryu South Korea
Jane Pettinga United States
Elizabeth Salisbury Australia
Stephanie M. Wong Canada
Jay R. Harris United States
Umut Özbek United States
Rozany Mucha Düfloth Brazil
Dalliah M. Black United States
Sven‐Börje Ewers Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Fiona MacNeill

Since Specialization
Citations

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

Fields of papers citing papers by Fiona MacNeill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016129
2 2012117
3 2010104
4 2017100
5 201686
6 201778
7 201357
8 202055
9 200254
10 201749
11 202040
12 201128
13 201327
14 201825
15 201625
16 201122
17 201620
18 201119
19 202018
20 202117

About Fiona MacNeill

Fiona MacNeill is a scholar working on Cancer Research, Surgery, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (34 papers), Breast Implant and Reconstruction (24 papers), Breast Lesions and Carcinomas (14 papers), Cancer Diagnosis and Treatment (5 papers), Global Cancer Incidence and Screening (4 papers), Advances in Oncology and Radiotherapy (3 papers), COVID-19 and healthcare impacts (3 papers) and Digital Imaging in Medicine (3 papers). The work is most often cited by research in Cancer Research (556 citations), Oncology (344 citations), Pathology and Forensic Medicine (170 citations), Surgery (409 citations) and Microbiology (5 citations). Fiona MacNeill has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Marios Konstantinos Tasoulis, Alicia C. Staley, Sheldon Feldman, Jennifer Rusby, G. Querci della Rovere, Peter Osin, Andreas Karakatsanis, Mitch Dowsett, Roger A’Hern and Janine Salter. Their work appears in journals such as European Journal of Surgical Oncology, Cancer Research, Annals of Surgical Oncology, Journal of Clinical Oncology and Annals of The Royal College of Surgeons of England.

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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