Michael E. Carney

6.1k total citations
15 papers, 977 citations indexed

About

Michael E. Carney is a scholar working on Genetics, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Michael E. Carney has authored 15 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 9 papers in Reproductive Medicine and 4 papers in Molecular Biology. Recurrent topics in Michael E. Carney's work include Ovarian cancer diagnosis and treatment (8 papers), Estrogen and related hormone effects (5 papers) and BRCA gene mutations in cancer (3 papers). Michael E. Carney is often cited by papers focused on Ovarian cancer diagnosis and treatment (8 papers), Estrogen and related hormone effects (5 papers) and BRCA gene mutations in cancer (3 papers). Michael E. Carney collaborates with scholars based in United States, Brazil and Denmark. Michael E. Carney's co-authors include Thackery S. Gray, Debra J. Magnuson, Andrew Berchuck, Marc T. Goodman, Galina Lurie, Pamela J. Thompson, Katharine McDuffie, Kelly S. Hayes, John I. Risinger and G. Larry Maxwell and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, International Journal of Cancer and Obstetrics and Gynecology.

In The Last Decade

Michael E. Carney

15 papers receiving 957 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael E. Carney United States 13 285 281 247 215 165 15 977
Daniel Pisera Argentina 21 182 0.6× 329 1.2× 192 0.8× 23 0.1× 124 0.8× 59 1.2k
M. El‐Etr France 11 77 0.3× 218 0.8× 124 0.5× 141 0.7× 120 0.7× 13 801
Kirsten Prüfer United States 11 32 0.1× 247 0.9× 162 0.7× 548 2.5× 189 1.1× 21 889
Françoise Mounier France 18 77 0.3× 340 1.2× 79 0.3× 58 0.3× 82 0.5× 38 1.0k
Chang Su United States 17 38 0.1× 437 1.6× 181 0.7× 39 0.2× 107 0.6× 26 1.0k
Delphine Meffre France 16 55 0.2× 351 1.2× 199 0.8× 64 0.3× 118 0.7× 21 980
Heike Jung Germany 19 374 1.3× 352 1.3× 298 1.2× 13 0.1× 50 0.3× 57 1.1k
Victoria Scott New Zealand 18 98 0.3× 132 0.5× 67 0.3× 44 0.2× 58 0.4× 31 649
Abdel M. Ghoumari France 9 60 0.2× 199 0.7× 101 0.4× 165 0.8× 106 0.6× 13 803
Galyna Bondar United States 12 209 0.7× 285 1.0× 330 1.3× 73 0.3× 104 0.6× 22 905

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-authorship network of co-authors of Michael E. Carney

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Carney. A scholar is included among the top collaborators of Michael E. Carney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael E. Carney. Michael E. Carney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Randall, Marcus E., Virginia L. Filiaci, D. Scott McMeekin, et al.. (2017). A Phase 3 Trial of Pelvic Radiation Therapy Versus Vaginal Cuff Brachytherapy Followed by Paclitaxel/Carboplatin Chemotherapy in Patients with High-Risk, Early-Stage Endometrial Cancer: A Gynecology Oncology Group Study. International Journal of Radiation Oncology*Biology*Physics. 99(5). 1313–1313. 20 indexed citations
2.
Setiawan, Veronica Wendy, Rayna K. Matsuno, Galina Lurie, et al.. (2012). Use of Nonsteroidal Anti-inflammatory Drugs and Risk of Ovarian and Endometrial Cancer: The Multiethnic Cohort. Cancer Epidemiology Biomarkers & Prevention. 21(9). 1441–1449. 37 indexed citations
3.
Lurie, Galina, Lynne R. Wilkens, Pamela J. Thompson, et al.. (2010). Vitamin D receptor rs2228570 polymorphism and invasive ovarian carcinoma risk: Pooled analysis in five studies within the Ovarian Cancer Association Consortium. International Journal of Cancer. 128(4). 936–943. 48 indexed citations
4.
Lurie, Galina, Kathryn L. Terry, Lynne R. Wilkens, et al.. (2010). Pooled analysis of the association of PTGS2 rs5275 polymorphism and NSAID use with invasive ovarian carcinoma risk. Cancer Causes & Control. 21(10). 1731–1741. 19 indexed citations
5.
Terry, Kathryn L., Allison F. Vitonis, Dena Hernandez, et al.. (2010). A polymorphism in the GALNT2 gene and ovarian cancer risk in four population based case-control studies.. PubMed. 1(4). 272–7. 5 indexed citations
6.
Goodman, Marc T., Galina Lurie, Pamela J. Thompson, Katharine McDuffie, & Michael E. Carney. (2008). Association of two common single-nucleotide polymorphisms in the CYP19A1 locus and ovarian cancer risk. Endocrine Related Cancer. 15(4). 1055–1060. 21 indexed citations
7.
Lurie, Galina, Lynne R. Wilkens, Pamela J. Thompson, et al.. (2008). Genetic polymorphisms in the estrogen receptor beta (ESR2) gene and the risk of epithelial ovarian carcinoma. Cancer Causes & Control. 20(1). 47–55. 26 indexed citations
8.
Lurie, Galina, Lynne R. Wilkens, Pamela J. Thompson, et al.. (2008). Genetic Polymorphisms in the Paraoxonase 1 Gene and Risk of Ovarian Epithelial Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 17(8). 2070–2077. 38 indexed citations
9.
Lurie, Galina, Pamela J. Thompson, Katharine McDuffie, et al.. (2007). Association of Estrogen and Progestin Potency of Oral Contraceptives With Ovarian Carcinoma Risk. Obstetrics and Gynecology. 109(3). 597–607. 32 indexed citations
10.
Lurie, Galina, Lynne R. Wilkens, Pamela J. Thompson, et al.. (2007). Vitamin D ReceptorGene Polymorphisms and Epithelial Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 16(12). 2566–2571. 80 indexed citations
11.
Berchuck, Andrew, Michael E. Carney, & P. Andrew Futreal. (1999). Genetic susceptibility testing and prophylactic oophorectomy. European Journal of Obstetrics & Gynecology and Reproductive Biology. 82(2). 159–164. 2 indexed citations
12.
Berchuck, Andrew, Michael E. Carney, Jonathan Lancaster, Jeffrey R. Marks, & P. Andrew Futreal. (1998). Familial Breast-Ovarian Cancer Syndromes. Clinical Obstetrics & Gynecology. 41(1). 157–166. 13 indexed citations
13.
Berchuck, Andrew, Michael E. Carney, Jonathan Lancaster, et al.. (1998). Frequency of germline and somatic BRCA1 mutations in ovarian cancer.. PubMed. 4(10). 2433–7. 137 indexed citations
14.
Risinger, John I., Kelly S. Hayes, G. Larry Maxwell, et al.. (1998). PTEN mutation in endometrial cancers is associated with favorable clinical and pathologic characteristics.. PubMed. 4(12). 3005–10. 220 indexed citations
15.
Gray, Thackery S., Michael E. Carney, & Debra J. Magnuson. (1989). Direct Projections from the Central Amygdaloid Nucleus to the Hypothalamic Paraventricular Nucleus: Possible Role in Stress-Induced Adrenocorticotropin Release. Neuroendocrinology. 50(4). 433–446. 279 indexed citations

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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