Amy C. Sturm

6.8k total citations · 1 hit paper
103 papers, 2.5k citations indexed

About

Amy C. Sturm is a scholar working on Genetics, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amy C. Sturm has authored 103 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 38 papers in Surgery and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amy C. Sturm's work include BRCA gene mutations in cancer (34 papers), Lipoproteins and Cardiovascular Health (34 papers) and Genomics and Rare Diseases (24 papers). Amy C. Sturm is often cited by papers focused on BRCA gene mutations in cancer (34 papers), Lipoproteins and Cardiovascular Health (34 papers) and Genomics and Rare Diseases (24 papers). Amy C. Sturm collaborates with scholars based in United States, United Kingdom and Canada. Amy C. Sturm's co-authors include Ray E. Hershberger, Tara Schmidlen, Alanna Kulchak Rahm, M. Schwartz, H. Lester Kirchner, Christopher Semsarian, Andrew P. Landstrom, Stephan Moll, Liz Varga and Laney K. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Amy C. Sturm

96 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic Testing for Inherited Cardiovascular Diseases: A Scientific Statement From the American Heart Association

2020 211 citations Kiran Musunuru, Ray E. Hershberger et al. Circulation Genomic and Precision Medicine profile →

Peers

Amy C. Sturm

CCM

GENET

SURGE

PHEOH

Maren T. Scheuner United States

Johnny S. H. Kwan Hong Kong

Carolina Roselli United States

Michele Toscano Italy

Laure El ghormli United States

Derek Klarin United States

Minxian Wang China

Christopher P. Nelson United Kingdom

Marjorie E. Marenberg United States

Angela R. Bradbury United States

Maren T. Scheuner United States

Amy C. Sturm

371 ×0.4

CCM

1.5k ×1.8

GENET

244 ×0.4

241 ×0.5

SURGE

516 ×1.9

PHEOH

Citations per year, relative to Amy C. Sturm Amy C. Sturm (= 1×) peers Maren T. Scheuner

Countries citing papers authored by Amy C. Sturm

Since Specialization

Citations

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

Fields of papers citing papers by Amy C. Sturm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy C. Sturm

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

All Works

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20 of 20 papers shown

Jones, Laney K., Gemme Campbell‐Salome, Mary P. McGowan, et al.. (2024). IMPACT-FH Study for Implementing Innovative Family Communication and Cascade Testing Strategies for Familial Hypercholesterolemia. SHILAP Revista de lepidopterología. 3(9). 101198–101198. 4 indexed citations

Campbell‐Salome, Gemme, H. Lester Kirchner, Mary P. McGowan, et al.. (2024). Innovative Implementation Strategies for Familial Hypercholesterolemia Cascade Testing: The Impact of Genetic Counseling. Journal of Personalized Medicine. 14(8). 841–841. 2 indexed citations

Campbell‐Salome, Gemme, et al.. (2024). Utilizing innovative implementation strategies for familial hypercholesterolemia: Implementation outcomes from the IMPACT-FH study. Journal of clinical lipidology. 18(5). e832–e843. 3 indexed citations

Gidding, Samuel S., H. Lester Kirchner, William H. Howard, et al.. (2023). Yield of Familial Hypercholesterolemia Genetic and Phenotypic Diagnoses After Electronic Health Record and Genomic Data Screening. Journal of the American Heart Association. 12(13). e030073–e030073. 7 indexed citations

Schwartz, M., Amy C. Sturm, Melissa Kelly, et al.. (2023). Evaluation of Malignant Hyperthermia Features in Patients with Pathogenic or Likely Pathogenic RYR1 Variants Disclosed through a Population Genomic Screening Program. Anesthesiology. 140(1). 52–61. 6 indexed citations

Jones, Laney K., Marc S. Williams, Ilene Ladd, et al.. (2022). Collaborative Approach to Reach Everyone with Familial Hypercholesterolemia: CARE-FH Protocol. Journal of Personalized Medicine. 12(4). 606–606. 9 indexed citations

Schmidlen, Tara, et al.. (2022). Use of a chatbot to increase uptake of cascade genetic testing. Journal of Genetic Counseling. 31(5). 1219–1230. 43 indexed citations

Carruth, Eric, Amro Alsaid, Melissa Kelly, et al.. (2022). Loss-of-Function FLNC Variants Are Associated With Arrhythmogenic Cardiomyopathy Phenotypes When Identified Through Exome Sequencing of a General Clinical Population. Circulation Genomic and Precision Medicine. 15(4). e003645–e003645. 15 indexed citations

Jones, Laney K., Nan Chen, Dustin N. Hartzel, et al.. (2022). Impact of a Population Genomic Screening Program on Health Behaviors Related to Familial Hypercholesterolemia Risk Reduction. Circulation Genomic and Precision Medicine. 15(5). e003549–e003549. 3 indexed citations

10.

Jones, Laney K., Catherine D. Ahmed, Gemme Campbell‐Salome, et al.. (2021). Acceptability, Appropriateness, and Feasibility of Automated Screening Approaches and Family Communication Methods for Identification of Familial Hypercholesterolemia: Stakeholder Engagement Results from the IMPACT-FH Study. Journal of Personalized Medicine. 11(6). 587–587. 12 indexed citations

11.

Walsh, Roddy, Arnon Adler, Ahmad S. Amin, et al.. (2021). Evaluation of gene validity for CPVT and short QT syndrome in sudden arrhythmic death. European Heart Journal. 43(15). 1500–1510. 71 indexed citations

12.

Marquina, Clara, Paul Lacaze, Jane Tiller, et al.. (2021). Population genomic screening of young adults for familial hypercholesterolaemia: a cost-effectiveness analysis. European Heart Journal. 43(34). 3243–3254. 24 indexed citations

13.

Schmidlen, Tara, Amy C. Sturm, & Laura Scheinfeldt. (2020). Pharmacogenomic (PGx) Counseling: Exploring Participant Questions about PGx Test Results. Journal of Personalized Medicine. 10(2). 29–29. 7 indexed citations

14.

Musunuru, Kiran, Ray E. Hershberger, Sharlene M. Day, et al.. (2020). Genetic Testing for Inherited Cardiovascular Diseases: A Scientific Statement From the American Heart Association. Circulation Genomic and Precision Medicine. 13(4). e000067–e000067. 211 indexed citations breakdown →

15.

Schmidlen, Tara, et al.. (2019). Patient assessment of chatbots for the scalable delivery of genetic counseling. Journal of Genetic Counseling. 28(6). 1166–1177. 98 indexed citations

16.

Schmidlen, Tara, Amy C. Sturm, Shelly R. Hovick, et al.. (2018). Operationalizing the Reciprocal Engagement Model of Genetic Counseling Practice: a Framework for the Scalable Delivery of Genomic Counseling and Testing. Journal of Genetic Counseling. 27(5). 1111–1129. 22 indexed citations

17.

Sturm, Amy C., Tara Schmidlen, Laura Scheinfeldt, et al.. (2018). Early Outcome Data Assessing Utility of a Post-Test Genomic Counseling Framework for the Scalable Delivery of Precision Health. Journal of Personalized Medicine. 8(3). 25–25. 9 indexed citations

18.

Sweet, Kevin, Amy C. Sturm, Tara Schmidlen, et al.. (2017). Outcomes of a Randomized Controlled Trial of Genomic Counseling for Patients Receiving Personalized and Actionable Complex Disease Reports. Journal of Genetic Counseling. 26(5). 980–998. 17 indexed citations

19.

Sweet, Kevin, Shelly R. Hovick, Amy C. Sturm, et al.. (2016). Counselees’ Perspectives of Genomic Counseling Following Online Receipt of Multiple Actionable Complex Disease and Pharmacogenomic Results: a Qualitative Research Study. Journal of Genetic Counseling. 26(4). 738–751. 16 indexed citations

20.

Sweet, Kevin, et al.. (2014). Clinically relevant lessons from Family HealthLink: a cancer and coronary heart disease familial risk assessment tool. Genetics in Medicine. 17(6). 493–500. 9 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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