Amy Brower

3.7k total citations
34 papers, 1.1k citations indexed

About

Amy Brower is a scholar working on Genetics, Clinical Biochemistry and Molecular Biology. According to data from OpenAlex, Amy Brower has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Clinical Biochemistry and 9 papers in Molecular Biology. Recurrent topics in Amy Brower's work include Genomics and Rare Diseases (16 papers), Metabolism and Genetic Disorders (13 papers) and Muscle Physiology and Disorders (4 papers). Amy Brower is often cited by papers focused on Genomics and Rare Diseases (16 papers), Metabolism and Genetic Disorders (13 papers) and Muscle Physiology and Disorders (4 papers). Amy Brower collaborates with scholars based in United States, United Kingdom and France. Amy Brower's co-authors include David W. Fulker, Bruce F. Pennington, Stacey S. Cherny, Shelley D. Smith, Lon R. Cardon, John C. DeFries, Richard K. Olson, Javier Gayán, Tarif Awad and Cristi R. King and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The American Journal of Human Genetics.

In The Last Decade

Amy Brower

28 papers receiving 1.0k 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 Brower United States 13 340 243 239 167 148 34 1.1k
Per Dalén Sweden 14 656 1.9× 90 0.4× 177 0.7× 6 0.0× 67 0.5× 30 1.4k
Shinpei Nonen Japan 18 132 0.4× 51 0.2× 286 1.2× 10 0.1× 90 0.6× 36 707
Craig Hyde United States 18 117 0.3× 768 3.2× 548 2.3× 5 0.0× 325 2.2× 38 2.3k
Sumit Parikh United States 22 70 0.2× 453 1.9× 1.5k 6.2× 9 0.1× 47 0.3× 70 2.4k
Nobuto Shibata Japan 21 67 0.2× 187 0.8× 529 2.2× 19 0.1× 93 0.6× 101 1.6k
S. Venkatesan India 15 26 0.1× 21 0.1× 183 0.8× 29 0.2× 100 0.7× 96 772
Aniruddh P. Patel United States 16 38 0.1× 371 1.5× 406 1.7× 16 0.1× 750 5.1× 44 1.9k
Göran Bertilsson Sweden 12 629 1.9× 446 1.8× 835 3.5× 5 0.0× 516 3.5× 17 2.2k
Lane J. Brunner United States 19 144 0.4× 145 0.6× 242 1.0× 22 0.1× 55 0.4× 52 1.1k
Elizabeth S. Duke United States 10 115 0.3× 16 0.1× 55 0.2× 57 0.3× 47 0.3× 23 666

Countries citing papers authored by Amy Brower

Since Specialization
Citations

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

Fields of papers citing papers by Amy Brower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Brower

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Brower. A scholar is included among the top collaborators of Amy Brower 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 Brower. Amy Brower 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
1.
Chan, Kee, Jennifer Taylor, Bo Hoon Lee, et al.. (2024). Long-Term Follow-Up Cares and Check Initiative: A Program to Advance Long-Term Follow-Up in Newborns Identified with a Disease through Newborn Screening. International Journal of Neonatal Screening. 10(2). 34–34.
2.
Kellar‐Guenther, Yvonne, Yu‐Fen Chou, Morna J. Dorsey, et al.. (2024). Defining the Minimal Long-Term Follow-Up Data Elements for Newborn Screening. International Journal of Neonatal Screening. 10(2). 37–37. 1 indexed citations
3.
4.
Talebizadeh, Zohreh, et al.. (2024). Landscape Analysis of Neurodevelopmental Comorbidities in Newborn Screening Conditions: Challenges and Opportunities. International Journal of Neonatal Screening. 10(1). 4–4.
5.
Brunelli, Luca, et al.. (2024). A Children’s Rights Framework for Genomic Medicine: Newborn Screening as a Use Case. Medical Research Archives. 12(3).
6.
Chan, Kee, Amy Brower, & Théodore G. Ganiats. (2024). The “Other E” in ELSI: The Use of Economic Evaluation to Inform the Expansion of Newborn Screening. PubMed. 9(1). 2 indexed citations
7.
Augustine, Erika F., Amy Brower, Thomas Defay, et al.. (2023). Data sharing to advance gene‐targeted therapies in rare diseases. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(1). 87–98. 7 indexed citations
8.
Park, Sunju, Roxana Moslehi, Wendy K. Chung, et al.. (2023). Factors influencing creatine kinase-MM concentrations in newborns and implications for newborn screening for Duchenne muscular dystrophy. Clinical Biochemistry. 118. 110614–110614. 3 indexed citations
9.
Chan, Kee, Zhanzhi Hu, Heidi Cope, et al.. (2023). NBSTRN Tools to Advance Newborn Screening Research and Support Newborn Screening Stakeholders. International Journal of Neonatal Screening. 9(4). 63–63. 6 indexed citations
10.
Brooks, Philip J., Dwight D. Koeberl, Amy Brower, et al.. (2023). Moving away from one disease at a time: Screening, trial design, and regulatory implications of novel platform technologies. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(1). 30–43. 5 indexed citations
11.
Brunelli, Luca, Heeju Sohn, & Amy Brower. (2023). Newborn sequencing is only part of the solution for better child health. The Lancet Regional Health - Americas. 25. 100581–100581. 4 indexed citations
12.
Gruber, Dorota, Michele A. Lloyd-Puryear, Mena Scavina, et al.. (2022). Newborn screening for Duchenne muscular dystrophy‐early detection and diagnostic algorithm for female carriers of Duchenne muscular dystrophy. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 190(2). 197–205. 14 indexed citations
13.
Hartnett, M. J., Michele A. Lloyd-Puryear, Norma P. Tavakoli, et al.. (2022). Newborn Screening for Duchenne Muscular Dystrophy: First Year Results of a Population-Based Pilot. International Journal of Neonatal Screening. 8(4). 50–50. 12 indexed citations
14.
Chan, Kee, Amy Brower, & Marc S. Williams. (2022). Population-based screening of newborns: Findings from the newborn screening expansion study (part two). Frontiers in Genetics. 13. 867354–867354. 4 indexed citations
15.
Edick, Mathew J., et al.. (2022). Using Long-Term Follow-Up Data to Classify Genetic Variants in Newborn Screened Conditions. Frontiers in Genetics. 13. 859837–859837. 3 indexed citations
16.
Goldenberg, Aaron J., Michele A. Lloyd-Puryear, Jeffrey P. Brosco, et al.. (2018). Including ELSI research questions in newborn screening pilot studies. Genetics in Medicine. 21(3). 525–533. 19 indexed citations
17.
Lloyd-Puryear, Michele A., Amy Brower, Susan A. Berry, et al.. (2018). Foundation of the Newborn Screening Translational Research Network and its tools for research. Genetics in Medicine. 21(6). 1271–1279. 16 indexed citations
18.
Lloyd-Puryear, Michele A. & Amy Brower. (2010). Long-term follow-up in newborn screening: A systems approach for improving health outcomes. Genetics in Medicine. 12(12 Suppl). S256–S260. 21 indexed citations
19.
Mrazek, David A., Mary D. Klinnert, Patricia J. Mrazek, et al.. (1999). Prediction of early-onset asthma in genetically at-risk children. Pediatric Pulmonology. 27(2). 85–94. 77 indexed citations
20.
Ouwendijk, Rob J., et al.. (1988). Comparison of the production of eicosanoids by human and rat peritoneal macrophages and rat Kupffer cells. Prostaglandins. 35(3). 437–446. 36 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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