Michael E. Carney

6.1k citations
15 papers · 977 · h-index 13

Impact in

Papers in

    • Estrogen and related hormone effects 5
    • BRCA gene mutations in cancer 3
    • Ovarian cancer diagnosis and treatment 8
    • Endometriosis Research and Treatment 2

Michael E. Carney

15 papers receiving 957 citations

Peers

Michael E. Carney
Comparison fields: 5 of 74
  • Behavioral Neuroscience 165
  • Reproductive Medicine 285
  • Obstetrics and Gynecology 144
  • Biological Psychiatry 35
  • Pathology and Forensic Medicine 215
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Citations per field
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Citations per year

Countries citing papers authored by Michael E. Carney

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Carney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Carney. 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 Michael E. Carney. The network helps show where Michael E. Carney may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1989279
2
PTEN mutation in endometrial cancers is associated with favorable clinical and pathologic characteristics.
1998220
3
Frequency of germline and somatic BRCA1 mutations in ovarian cancer.
1998137
4 200780
5 201048
6 200838
7 201237
8 200732
9 200826
10 200821
11 201720
12 201019
13 199813
14
A polymorphism in the GALNT2 gene and ovarian cancer risk in four population based case-control studies.
20105
15 19992

About Michael E. Carney

Michael E. Carney is a scholar working on Genetics, Reproductive Medicine, Molecular Biology, Pathology and Forensic Medicine and Pharmacology, having authored 15 papers that have together received 977 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (8 papers), Estrogen and related hormone effects (5 papers), BRCA gene mutations in cancer (3 papers), Inflammatory mediators and NSAID effects (2 papers), Endometriosis Research and Treatment (2 papers), Genetic factors in colorectal cancer (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (165 citations), Reproductive Medicine (285 citations), Obstetrics and Gynecology (144 citations), Biological Psychiatry (35 citations) and Pathology and Forensic Medicine (215 citations). Michael E. Carney has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Thackery S. Gray, Debra J. Magnuson, Andrew Berchuck, Galina Lurie, Marc T. Goodman, Pamela J. Thompson, Katharine McDuffie, R K Dodge, Kelly S. Hayes and G. Larry Maxwell. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Cancer Causes & Control, Obstetrics and Gynecology, International Journal of Radiation Oncology*Biology*Physics 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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