Amy Shealy

535 total citations
9 papers, 178 citations indexed

About

Amy Shealy is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Amy Shealy has authored 9 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Amy Shealy's work include BRCA gene mutations in cancer (3 papers), Genomics and Rare Diseases (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Amy Shealy is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Genomics and Rare Diseases (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Amy Shealy collaborates with scholars based in United States and Netherlands. Amy Shealy's co-authors include Manoj K. Patel, Charlotte A. Haaxma, Bryan S. Barker, Jacy L. Wagnon, Ricka Messer, Sumit Parikh, Miriam H. Meisler, Charis Eng, Marsha Kay and Attila Patócs and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and World Journal of Gastroenterology.

In The Last Decade

Amy Shealy

8 papers receiving 169 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 Shealy United States 5 87 75 48 37 24 9 178
A Munnich France 6 157 1.8× 63 0.8× 32 0.7× 16 0.4× 20 0.8× 14 275
Xiangqing Sun United States 9 85 1.0× 106 1.4× 18 0.4× 12 0.3× 41 1.7× 23 256
Chen-Jui Ho Taiwan 9 48 0.6× 20 0.3× 69 1.4× 41 1.1× 14 0.6× 16 160
Dena R. Matalon United States 7 91 1.0× 96 1.3× 20 0.4× 8 0.2× 11 0.5× 18 172
Ewa Goljan Saudi Arabia 7 90 1.0× 81 1.1× 5 0.1× 18 0.5× 41 1.7× 9 218
Rungnapa Ittiwut Thailand 10 85 1.0× 83 1.1× 15 0.3× 10 0.3× 16 0.7× 26 213
Emma Glamuzina New Zealand 11 148 1.7× 62 0.8× 9 0.2× 31 0.8× 13 0.5× 30 323
Mingfang Zhou China 9 75 0.9× 10 0.1× 14 0.3× 21 0.6× 17 0.7× 20 271
Sirisak Chanprasert United States 8 158 1.8× 33 0.4× 8 0.2× 11 0.3× 17 0.7× 13 228
Anli Shu China 6 168 1.9× 118 1.6× 19 0.4× 5 0.1× 18 0.8× 9 280

Countries citing papers authored by Amy Shealy

Since Specialization
Citations

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

Fields of papers citing papers by Amy Shealy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Shealy

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

All Works

9 of 9 papers shown
1.
Seifert, Bryce A., et al.. (2024). Myotonic dystrophy type 1 testing, 2024 revision: A technical standard of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 26(8). 101145–101145. 2 indexed citations
2.
Kaur, Simrat, Nicholas G. Smedira, Wael A. Jaber, et al.. (2023). ACCELERATED MITRAL ANNULAR CALCIFICATION (MAC) IN PATIENTS WITH FABRY'S DISEASE (FD). Journal of the American College of Cardiology. 81(8). 3182–3182.
3.
Shealy, Amy, Allison Schreiber, Ryan Noss, et al.. (2017). Patient Decisions to Receive Secondary Pharmacogenomic Findings and Development of a Multidisciplinary Practice Model to Integrate Results Into Patient Care. Clinical and Translational Science. 11(1). 71–76. 10 indexed citations
4.
Heald, Brandie, Lisa Rybicki, Jessica Marquard, et al.. (2016). Assessment of clinical workload for general and specialty genetic counsellors at an academic medical center: a tool for evaluating genetic counselling practices. npj Genomic Medicine. 1(1). 16010–16010. 28 indexed citations
5.
Wagnon, Jacy L., Bryan S. Barker, Charlotte A. Haaxma, et al.. (2015). Pathogenic mechanism of recurrent mutations of SCN8A in epileptic encephalopathy. Annals of Clinical and Translational Neurology. 3(2). 114–123. 81 indexed citations
6.
Wesolowski, Robert, et al.. (2009). Differential outcomes in patients treated with endocrine therapy for early or locally advanced breast cancer based on BRCA mutation status. Journal of Clinical Oncology. 27(15_suppl). e22065–e22065. 4 indexed citations
7.
Alkhouri, Naim, Barbara Kaplan, Marsha Kay, et al.. (2008). Johanson-Blizzard syndrome with mild phenotypic features confirmed by UBR1 gene testing. World Journal of Gastroenterology. 14(44). 6863–6863. 27 indexed citations
8.
Zbuk, Kevin, et al.. (2007). Germline mutations in PTEN and SDHC in a woman with epithelial thyroid cancer and carotid paraganglioma. Nature Clinical Practice Oncology. 4(10). 608–612. 25 indexed citations
9.
Moore, Halle C. F., Robert Wesolowski, Toni K. Choueiri, et al.. (2007). Therapeutic radiation for breast cancer in BRCA mutation carriers and contralateral breast cancer (CBC) risk. Journal of Clinical Oncology. 25(18_suppl). 611–611. 1 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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