Lucy Gately

485 citations
32 papers · 305 · h-index 10

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Lucy Gately

28 papers receiving 299 citations

Peers

Lucy Gately
Comparison fields: 5 of 46
  • Genetics 109
  • Cancer Research 52
  • Oncology 66
  • Pulmonary and Respiratory Medicine 49
  • Radiology, Nuclear Medicine and Imaging 20
Replace Deepak Bhamidipati with:
Deepak Bhamidipati United States
María Ángeles Vaz Salgado Spain
Angelo Dipasquale Italy
Cosette D. Champion United States
Anna Skakodub United States
D. Hentati Tunisia
Petr Burkoň Czechia
Marina Kastelan Australia
Minh Thi Tieu Australia
Nirmal Vivek Raut India
Lucy Gately relative to Deepak Bhamidipati United States Deepak Bhamidipati's profile →
Citations per field
00.5×2.8×
Deepak Bhamidipati · 1×
Citations per year

Countries citing papers authored by Lucy Gately

Since Specialization
Citations

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

Fields of papers citing papers by Lucy Gately

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 201643
3 201737
4 201830
5 202223
6 201814
7 201913
8 202011
9 20239
10 20219
11 20218
12 20196
13 20224
14 20224
15 20244
16 20174
17 20234
18 20213
19 20242
20 20202

About Lucy Gately

Lucy Gately is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Epidemiology, having authored 32 papers that have together received 305 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Genetic factors in colorectal cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Breast Cancer Therapies (3 papers), Colorectal Cancer Screening and Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Genetics (109 citations), Cancer Research (52 citations), Oncology (66 citations), Pulmonary and Respiratory Medicine (49 citations) and Radiology, Nuclear Medicine and Imaging (20 citations). Lucy Gately has collaborated with scholars based in Australia and United States. Frequent co-authors include Anthony Dowling, Jennifer Philip, Peter Gibbs, Sue‐Anne McLachlan, Michael Murphy, Anna Collins, Hui‐Li Wong, Jeremy Ruben, Jeanne Tie and Margaret Lee. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuro-Oncology, Cancers, JAMA Oncology and Future Oncology.

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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