Suzanne Dowson

1.2k citations
12 papers · 772 · h-index 10

Impact in

Papers in

Suzanne Dowson

11 papers receiving 767 citations

Peers

Suzanne Dowson
Comparison fields: 5 of 56
  • Reproductive Medicine 206
  • Cancer Research 219
  • Oncology 299
  • Immunology 127
  • Genetics 159
Replace Leanne Bowes with:
Leanne Bowes Australia
Suzanna L. Arcand Canada
Katarzyna Kluzek Poland
Ragwha Sharma Australia
Khyati A. Meghani United States
Constantia Pantelidou United States
Olivia L. Tan Australia
Theresa A. Colligon United States
Sara Gasparrini United States
Suzanne Dowson relative to Leanne Bowes Australia Leanne Bowes's profile →
Citations per field
00.5×1.5×2×2.4×
Leanne Bowes · 1×
Citations per year

Countries citing papers authored by Suzanne Dowson

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Dowson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018315
2 2016186
3 201781
4 202037
5 202135
6 201732
7 201430
8 202219
9 201718
10 201517
11
CRISPR/Cas9-derived models of ovarian high grade serous carcinoma targeting Brca1, Pten and Nf1, and correlation with platinum sensitivity
20172
12 20190

About Suzanne Dowson

Suzanne Dowson is a scholar working on Reproductive Medicine, Oncology, Cancer Research, Molecular Biology and Genetics, having authored 12 papers that have together received 772 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cancer-related molecular mechanisms research (2 papers), PARP inhibition in cancer therapy (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Reproductive Medicine (206 citations), Cancer Research (219 citations), Oncology (299 citations), Immunology (127 citations) and Genetics (159 citations). Suzanne Dowson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Iain A. McNeish, Malcolm Farquharson, Darren P. Ennis, Josephine B. Walton, Karen Blyth, Elaine Y L Leung, Susan M. Mason, David M. Stevenson, Michelle Lockley and Laura A. Tookman. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nature Genetics, Cell Death and Disease and Annals of 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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