Amy M. Breman

3.4k total citations
47 papers, 1.4k citations indexed

About

Amy M. Breman is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Amy M. Breman has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 20 papers in Pediatrics, Perinatology and Child Health and 17 papers in Molecular Biology. Recurrent topics in Amy M. Breman's work include Genomic variations and chromosomal abnormalities (28 papers), Prenatal Screening and Diagnostics (19 papers) and Genomics and Rare Diseases (10 papers). Amy M. Breman is often cited by papers focused on Genomic variations and chromosomal abnormalities (28 papers), Prenatal Screening and Diagnostics (19 papers) and Genomics and Rare Diseases (10 papers). Amy M. Breman collaborates with scholars based in United States, China and France. Amy M. Breman's co-authors include Sau Wai Cheung, Ankita Patel, Weimin Bi, Carlos A. Bacino, Arthur L. Beaudet, Chad A. Shaw, Ignatia B. Van den Veyver, Patricia A. Ward, Janice Smith and James R. Lupski and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amy M. Breman

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy M. Breman United States 20 713 587 502 164 139 47 1.4k
Gordana Raca United States 18 1.1k 1.5× 586 1.0× 490 1.0× 150 0.9× 94 0.7× 62 1.7k
Suzanna G.M. Frints Netherlands 21 1.1k 1.5× 878 1.5× 416 0.8× 40 0.2× 95 0.7× 39 1.9k
Karine Hovanes United States 17 444 0.6× 978 1.7× 262 0.5× 93 0.6× 89 0.6× 28 1.9k
Ghayda Mirzaa United States 22 711 1.0× 873 1.5× 312 0.6× 85 0.5× 255 1.8× 56 1.7k
Willy M. Nillesen Netherlands 23 1.3k 1.8× 1.3k 2.1× 271 0.5× 135 0.8× 107 0.8× 42 2.2k
Robert‐Jan H. Galjaard Netherlands 22 1.2k 1.6× 859 1.5× 1.0k 2.1× 74 0.5× 111 0.8× 65 2.2k
Palma Finelli Italy 29 1.0k 1.5× 1.2k 2.1× 211 0.4× 171 1.0× 139 1.0× 95 2.2k
Kyle Retterer United States 24 906 1.3× 681 1.2× 187 0.4× 79 0.5× 54 0.4× 37 1.4k
Juliette Nectoux France 23 775 1.1× 602 1.0× 142 0.3× 59 0.4× 157 1.1× 58 1.3k
Nicole de Leeuw Netherlands 30 2.4k 3.4× 1.4k 2.4× 744 1.5× 191 1.2× 170 1.2× 104 3.2k

Countries citing papers authored by Amy M. Breman

Since Specialization
Citations

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

Fields of papers citing papers by Amy M. Breman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy M. Breman. 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 Amy M. Breman. The network helps show where Amy M. Breman may publish in the future.

Co-authorship network of co-authors of Amy M. Breman

This figure shows the co-authorship network connecting the top 25 collaborators of Amy M. Breman. A scholar is included among the top collaborators of Amy M. Breman 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 Amy M. Breman. Amy M. Breman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Bellair, Michelle, Jae‐Weon Kim, Ronald J. Wapner, et al.. (2024). Noninvasive single‐cell‐based prenatal genetic testing: A proof of concept clinical study. Prenatal Diagnosis. 44(3). 304–316. 1 indexed citations
3.
Iwata‐Otsubo, Aiko, et al.. (2022). A 9.8 Mb deletion at 7q31.2q31.31 downstream of FOXP2 in an individual with speech and language impairment suggests a possible positional effect. SHILAP Revista de lepidopterología. 10(11). e6535–e6535. 1 indexed citations
4.
Wetherill, Leah, et al.. (2022). Factors that influence genetic counselors' participation in research. Journal of Genetic Counseling. 32(2). 351–361. 3 indexed citations
5.
6.
Pettersson, Maria, Christopher M. Grochowski, Josephine Wincent, et al.. (2020). Cytogenetically visible inversions are formed by multiple molecular mechanisms. Human Mutation. 41(11). 1979–1998. 11 indexed citations
7.
Liu, Qian, Justyna A. Karolak, Christopher M. Grochowski, et al.. (2020). Parental somatic mosaicism for CNV deletions – A need for more sensitive and precise detection methods in clinical diagnostics settings. Genomics. 112(5). 2937–2941. 14 indexed citations
8.
Vossaert, Liesbeth, Qun Wang, Vipulkumar Patel, et al.. (2019). Validation Studies for Single Circulating Trophoblast Genetic Testing as a Form of Noninvasive Prenatal Diagnosis. The American Journal of Human Genetics. 105(6). 1262–1273. 42 indexed citations
9.
Song, Xiaofei, Christine R. Beck, Renqian Du, et al.. (2018). Predicting human genes susceptible to genomic instability associated with Alu/Alu-mediated rearrangements. Genome Research. 28(8). 1228–1242. 51 indexed citations
10.
Petersen, Andrea, Sau Wai Cheung, Janice Smith, et al.. (2017). Positive predictive value estimates for cell-free noninvasive prenatal screening from data of a large referral genetic diagnostic laboratory. American Journal of Obstetrics and Gynecology. 217(6). 691.e1–691.e6. 127 indexed citations
11.
Gu, Shen, Przemysław Szafrański, Zeynep Coban‐Akdemir, et al.. (2016). Mechanisms for Complex Chromosomal Insertions. PLoS Genetics. 12(11). e1006446–e1006446. 29 indexed citations
12.
Posey, Jennifer E., et al.. (2015). Triploidy mosaicism (45,X/68,XX) in an infant presenting with failure to thrive. American Journal of Medical Genetics Part A. 170(3). 694–698. 3 indexed citations
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14.
Campbell, Ian M., Mitchell Rao, Seema R. Lalani, et al.. (2013). Fusion of Large-Scale Genomic Knowledge and Frequency Data Computationally Prioritizes Variants in Epilepsy. PLoS Genetics. 9(9). e1003797–e1003797. 18 indexed citations
15.
Agyarko‐Poku, Thomas, et al.. (2013). P4.051 Vulnerability to HIV and Prevention Needs of Female Post-Secondary Students Engaged in Transactional Sex in Kumasi, Ghana - A Qualitative Study. Sexually Transmitted Infections. 89(Suppl 1). A304.2–A304. 2 indexed citations
16.
Breman, Amy M., Melissa B. Ramocki, Sung‐Hae Kang, et al.. (2010). MECP2 duplications in six patients with complex sex chromosome rearrangements. European Journal of Human Genetics. 19(4). 409–415. 25 indexed citations
17.
Oshima, Junko, Daniel B. Magner, Jennifer A. Lee, et al.. (2009). Regional genomic instability predisposes to complex dystrophin gene rearrangements. Human Genetics. 126(3). 411–423. 40 indexed citations
18.
Grimes, Brenda R., Stephanie Merfeld‐Clauss, Dmitry O. Traktuev, et al.. (2008). Interphase FISH Demonstrates that Human Adipose Stromal Cells Maintain a High Level of Genomic Stability in Long-Term Culture. Stem Cells and Development. 18(5). 717–724. 37 indexed citations
19.
Bi, Weimin, Amy M. Breman, Susan Venable, et al.. (2008). Rapid prenatal diagnosis using uncultured amniocytes and oligonucleotide array CGH. Prenatal Diagnosis. 28(10). 943–949. 51 indexed citations
20.
Breman, Amy M., et al.. (2007). Input DNA Ratio Determines Copy Number of The 33 kb Factor IX Gene on De Novo Human Artificial Chromosomes. Molecular Therapy. 16(2). 315–323. 17 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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