Julia Swallow

688 citations
19 papers · 492 · h-index 10

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics

Papers in

Julia Swallow

17 papers receiving 469 citations

Peers

Julia Swallow
Comparison fields: 5 of 78
  • Oncology 255
  • Cancer Research 86
  • Radiology, Nuclear Medicine and Imaging 105
  • Neuropsychology and Physiological Psychology 5
  • Genetics 81
Replace Heather Jenkins with:
Heather Jenkins Canada
Keith Miller United Kingdom
DG Altman United Kingdom
Catherine Parker United States
Pilin Wang China
Victoria H. Wu United States
María Torrente Spain
Iryna Kuchuk Canada
Jennifer Tseng United States
Jack Dalton United States
Julia Swallow relative to Heather Jenkins Canada Heather Jenkins's profile →
Citations per field
00.5×10×13×
Heather Jenkins · 1×
Citations per year

Countries citing papers authored by Julia Swallow

Since Specialization
Citations

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

Fields of papers citing papers by Julia Swallow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Julia Swallow, 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 Julia Swallow Line = papers co-authored together Julia Swallow links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Alterations to either c-erbB-2(neu) or c-myc proto-oncogenes in breast carcinomas correlate with poor short-term prognosis.
1987318
2 201934
3 201723
4 201819
5 201917
6 201812
7 202111
8 202011
9 202111
10 20239
11 20236
12 20235
13 20215
14 20194
15 20243
16 20252
17 20211
18 20231
19 20250

About Julia Swallow

Julia Swallow is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Physiology, General Health Professions and Sociology and Political Science, having authored 19 papers that have together received 492 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (5 papers), Biomedical Ethics and Regulation (5 papers), Ethics in Clinical Research (4 papers), Mental Health and Patient Involvement (3 papers), Participatory Visual Research Methods (3 papers), Race, Genetics, and Society (3 papers), Mental Health and Psychiatry (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (255 citations), Cancer Research (86 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Neuropsychology and Physiological Psychology (5 citations) and Genetics (81 citations). Julia Swallow has collaborated with scholars based in United Kingdom and Netherlands. Frequent co-authors include JM Varley, R. A. Walker, William J. Brammar, Anne Kerr, Sarah Cunningham‐Burley, Emily Ross, Alexandra Hillman, Sonja Erikainen, Steve Sturdy and Martyn Pickersgill. Their work appears in journals such as New Genetics and Society, Social Science & Medicine, Sociology of Health & Illness, Social Studies of Science and Medical Humanities.

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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