Joan Murphy

22 papers receiving 899 citations

Peers

Joan Murphy
Comparison fields: 5 of 71
  • Reproductive Medicine 321
  • Obstetrics and Gynecology 237
  • Cancer Research 121
  • Genetics 135
  • Oncology 114
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F. Ueland United States
Jonathan G. Bijron United States
Lindsay Bergan United States
Sílvia Cabrera Spain
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Jan P. Baak Norway
Kyung Jin Eoh South Korea
Kirsten Jochumsen Denmark
Alicia Tone Canada
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Citations per year

Countries citing papers authored by Joan Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Joan Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007124
2 2008118
3
Parallel analysis of sporadic primary ovarian carcinomas by spectral karyotyping, comparative genomic hybridization, and expression microarrays.
200297
4 200576
5 201172
6 200158
7 200845
8 200844
9 200343
10 200239
11 201032
12 201030
13 200625
14 201024
15 199722
16 200918
17 199913
18 199413
19 20179
20 20188

About Joan Murphy

Joan Murphy is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology, Genetics and Genetics, having authored 22 papers that have together received 917 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Gene expression and cancer classification (2 papers), BRCA gene mutations in cancer (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Genomics and Rare Diseases (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Reproductive Medicine (321 citations), Obstetrics and Gynecology (237 citations), Cancer Research (121 citations), Genetics (135 citations) and Oncology (114 citations). Joan Murphy has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Barry P. Rosen, Theodore J. Brown, Patricia Shaw, Heather Begley, Jeremy A. Squire, Patricia A. Shaw, Marcus Q. Bernardini, Alicia Tone, Jane Bayani and Ben Beheshti. Their work appears in journals such as Gynecologic Oncology, International Journal of Radiation Oncology*Biology*Physics, International Journal of Gynecological Cancer, Cancer and Neoplasia.

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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