Graham Casey

266 papers receiving 18.0k citations

Graham Casey's Hit Papers

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction 2021 · 317 citations
3170+3+7Years since publication100200300400

Peers

Graham Casey
Comparison fields: 5 of 182
  • Pathology and Forensic Medicine 4.4k
  • Cancer Research 3.4k
  • Oncology 4.5k
  • Genetics 4.7k
  • Molecular Biology 6.6k
Replace Federico Canzian with:
Federico Canzian Germany
Stephen B. Gruber United States
Vesa V Kataja Finland
Riccardo Fodde Netherlands
Hidewaki Nakagawa Japan
Yoshio Miki Japan
Gabriel Capellá Spain
Yasuo Miyoshi Japan
Matthew David Ringel United States
Anne‐Marie Gerdes Denmark
Graham Casey relative to Federico Canzian Germany Federico Canzian's profile →
Citations per field
00.5×1.5×
Federico Canzian · 1×
Citations per year

Countries citing papers authored by Graham Casey

Since Specialization
Citations

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

Fields of papers citing papers by Graham Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer
Hit paper breakdown →
2015486
2 2016398
3
Discovery of common and rare genetic risk variants for colorectal cancer
Hit paper breakdown →
2018388
4 2014365
5 2011358
6
Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
Hit paper breakdown →
2021317
7 2006310
8 1990293
9
Characterization of an ovarian cancer activating factor in ascites from ovarian cancer patients.
1995290
10 2012278
11 2012264
12 2016263
13 2003259
14 1995258
15 2002246
16
Frequent p53 mutations in head and neck cancer.
1992240
17 2011233
18
Mutation analysis of BRCA1 and BRCA2 in a male breast cancer population.
1997224
19 2006221
20 2016221

About Graham Casey

Graham Casey is a scholar working on Pathology and Forensic Medicine, Genetics, Cancer Research, Oncology and Molecular Biology, having authored 274 papers that have together received 18.5k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (87 papers), Genetic Associations and Epidemiology (51 papers), Prostate Cancer Treatment and Research (26 papers), Colorectal Cancer Screening and Detection (25 papers), BRCA gene mutations in cancer (22 papers), Cancer Genomics and Diagnostics (20 papers), Prostate Cancer Diagnosis and Treatment (15 papers) and Colorectal Cancer Treatments and Studies (14 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.4k citations), Cancer Research (3.4k citations), Oncology (4.5k citations), Genetics (4.7k citations) and Molecular Biology (6.6k citations). Graham Casey has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John S. Witte, Sarah J. Plummer, Yan Xu, Iona Cheng, Muzaffer Cicek, Yan Juan Xu, Eric A. Klein, David V. Conti, Eric J. Stanbridge and Mine S. Cicek. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Human Molecular Genetics, Nature Genetics, Genes Chromosomes and Cancer and International Journal of Cancer.

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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