Amy Barczykowski

439 total citations
15 papers, 307 citations indexed

About

Amy Barczykowski is a scholar working on Physiology, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Amy Barczykowski has authored 15 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 5 papers in Cognitive Neuroscience and 5 papers in Epidemiology. Recurrent topics in Amy Barczykowski's work include Lysosomal Storage Disorders Research (12 papers), Autism Spectrum Disorder Research (5 papers) and Trypanosoma species research and implications (4 papers). Amy Barczykowski is often cited by papers focused on Lysosomal Storage Disorders Research (12 papers), Autism Spectrum Disorder Research (5 papers) and Trypanosoma species research and implications (4 papers). Amy Barczykowski collaborates with scholars based in United States and Japan. Amy Barczykowski's co-authors include Patricia K. Duffner, Kabir Jalal, Randy L. Carter, Denise M. Kay, Ronald Alberico, Randy Carter, Yan Li, Yan Li, Ahmed Abdelhalim and Steven R. Gill and has published in prestigious journals such as The Journal of Pediatrics, Genetics in Medicine and Journal of Neuroscience Research.

In The Last Decade

Amy Barczykowski

15 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy Barczykowski United States	9	236	124	89	66	43	15	307
Emerson Maniwang United States	6	258 1.1×	71 0.6×	73 0.8×	151 2.3×	54 1.3×	6	343
Anne Marie Winstone United Kingdom	10	86 0.4×	108 0.9×	51 0.6×	31 0.5×	7 0.2×	15	262
Petra Oliva United States	6	310 1.3×	86 0.7×	64 0.7×	169 2.6×	48 1.1×	18	435
Xiaoning Bi China	4	160 0.7×	87 0.7×	103 1.2×	61 0.9×	31 0.7×	5	289
Helena Prady United Kingdom	2	378 1.6×	90 0.7×	87 1.0×	78 1.2×	142 3.3×	3	436
Sylvie Duthel France	6	278 1.2×	75 0.6×	50 0.6×	50 0.8×	102 2.4×	9	352
María del Mar O’Callaghan Spain	10	132 0.6×	147 1.2×	66 0.7×	26 0.4×	22 0.5×	11	343
Megan A. Griffey United States	6	359 1.5×	202 1.6×	77 0.9×	227 3.4×	24 0.6×	6	469
Ana M. García-Cabrero Spain	8	191 0.8×	97 0.8×	36 0.4×	9 0.1×	9 0.2×	8	407
Ken Momosaki Japan	10	163 0.7×	102 0.8×	57 0.6×	45 0.7×	45 1.0×	22	286

Countries citing papers authored by Amy Barczykowski

Since Specialization

Citations

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

Fields of papers citing papers by Amy Barczykowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Barczykowski

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

All Works

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15 of 15 papers shown

Jalal, Kabir, Randy L. Carter, Amy Barczykowski, Shunji Tomatsu, & Thomas J. Langan. (2022). A Roadmap for Potential Improvement of Newborn Screening for Inherited Metabolic Diseases Following Recent Developments and Successful Applications of Bivariate Normal Limits for Pre-Symptomatic Detection of MPS I, Pompe Disease, and Krabbe Disease. International Journal of Neonatal Screening. 8(4). 61–61. 8 indexed citations

Barczykowski, Amy, Thomas J. Langan, Adeline Vanderver, Kabir Jalal, & Randy L. Carter. (2021). Death rates in the U.S. due to Leukodystrophies with pediatric forms. American Journal of Medical Genetics Part A. 185(8). 2361–2373. 2 indexed citations

Wolf, David A. Patterson Silver, et al.. (2021). Treatment Resistant Alcohol Use Disorder. Alcoholism Treatment Quarterly. 40(2). 205–216. 1 indexed citations

Langan, Thomas J., Kabir Jalal, Amy Barczykowski, et al.. (2020). Development of a newborn screening tool for mucopolysaccharidosis type I based on bivariate normal limits: Using glycosaminoglycan and alpha‐L‐iduronidase determinations on dried blood spots to predict symptoms. JIMD Reports. 52(1). 35–42. 11 indexed citations

Langan, Thomas J., Amy Barczykowski, Kabir Jalal, et al.. (2019). Survey of quality of life, phenotypic expression, and response to treatment in Krabbe leukodystrophy. JIMD Reports. 47(1). 47–54. 6 indexed citations

Langan, Thomas J., Joseph J. Orsini, Kabir Jalal, et al.. (2018). Development of a newborn screening tool based on bivariate normal limits: using psychosine and galactocerebrosidase determination on dried blood spots to predict Krabbe disease. Genetics in Medicine. 21(7). 1644–1651. 15 indexed citations

Jalal, Kabir, Thomas J. Langan, Joseph J. Orsini, et al.. (2018). Laboratory reliability and validity for measuring psychosine concentration and GALC enzyme activity for use in newborn screening for Krabbe disease. Molecular Genetics and Metabolism. 123(2). S69–S70. 1 indexed citations

Carter, Randy L., Lawrence Wrabetz, Kabir Jalal, et al.. (2016). Can psychosine and galactocerebrosidase activity predict early‐infantile Krabbe's disease presymptomatically?. Journal of Neuroscience Research. 94(11). 1084–1093. 11 indexed citations

Alberico, Ronald, et al.. (2013). Patterns of Magnetic Resonance Imaging Abnormalities in Symptomatic Patients With Krabbe Disease Correspond to Phenotype. Pediatric Neurology. 50(2). 127–134. 47 indexed citations

10.

Jalal, Kabir, Randy Carter, Yan Li, Amy Barczykowski, & Patricia K. Duffner. (2012). Does Galactocerebrosidase Activity Predict Krabbe Phenotype?. Pediatric Neurology. 47(5). 324–329. 19 indexed citations

11.

Duffner, Patricia K., Carl V. Granger, Nancy Lyon, et al.. (2012). Developmental and Functional Outcomes in Children with a Positive Newborn Screen for Krabbe Disease: A Pilot Study of a Phone-Based Interview Surveillance Technique. The Journal of Pediatrics. 161(2). 258–263.e1. 13 indexed citations

12.

Duffner, Patricia K., Amy Barczykowski, Denise M. Kay, et al.. (2012). Later Onset Phenotypes of Krabbe Disease: Results of the World-Wide Registry. Pediatric Neurology. 46(5). 298–306. 71 indexed citations

13.

Barczykowski, Amy, et al.. (2012). Death rates in the U.S. due to Krabbe disease and related leukodystrophy and lysosomal storage diseases. American Journal of Medical Genetics Part A. 158A(11). 2835–2842. 36 indexed citations

14.

Duffner, Patricia K., Amy Barczykowski, Kabir Jalal, et al.. (2011). Early Infantile Krabbe Disease: Results of the World-Wide Krabbe Registry. Pediatric Neurology. 45(3). 141–148. 64 indexed citations

15.

Jalal, Kabir, et al.. (2011). The effect of galactocerebrosidase (GALC) activity on age of symptom onset in Krabbe disease (KD). Molecular Genetics and Metabolism. 102(2). S22–S22. 2 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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