Grace A. Ashley

475 total citations
8 papers, 375 citations indexed

About

Grace A. Ashley is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Grace A. Ashley has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Grace A. Ashley's work include Lysosomal Storage Disorders Research (7 papers), Cellular transport and secretion (5 papers) and Trypanosoma species research and implications (4 papers). Grace A. Ashley is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Cellular transport and secretion (5 papers) and Trypanosoma species research and implications (4 papers). Grace A. Ashley collaborates with scholars based in United States and Brazil. Grace A. Ashley's co-authors include Robert J. Desnick, Christine M. Eng, Tania S. Burgert, Junaid Shabbeer, Ernest Beutler, Makiko Yasuda, Kenneth H. Astrin, Ricardo Flores Pires, Patrícia Ashton‐Prolla and Roberto Giugliani and has published in prestigious journals such as Molecular Medicine, American Journal of Medical Genetics and Journal of Investigative Medicine.

In The Last Decade

Grace A. Ashley

7 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace A. Ashley United States 7 344 206 135 101 100 8 375
Marta Cizmarik United States 8 426 1.2× 214 1.0× 130 1.0× 104 1.0× 130 1.3× 8 456
Hui-Ying Yeh Taiwan 4 295 0.9× 133 0.6× 93 0.7× 82 0.8× 83 0.8× 6 326
Jessica de Ruijter Netherlands 8 333 1.0× 162 0.8× 64 0.5× 91 0.9× 99 1.0× 11 405
Linda Berná Czechia 10 361 1.0× 152 0.7× 96 0.7× 46 0.5× 107 1.1× 11 420
Linda van der Tol Netherlands 7 493 1.4× 234 1.1× 161 1.2× 156 1.5× 164 1.6× 10 529
Sudheera Magage Czechia 8 260 0.8× 149 0.7× 67 0.5× 68 0.7× 95 0.9× 16 318
Hiroyuki Teraguchi Japan 5 445 1.3× 333 1.6× 83 0.6× 133 1.3× 137 1.4× 6 578
Michelle Frascella United States 6 307 0.9× 122 0.6× 138 1.0× 82 0.8× 98 1.0× 10 365
Kristiane Michelin‐Tirelli Brazil 11 288 0.8× 123 0.6× 83 0.6× 43 0.4× 88 0.9× 23 347
Isaac Kisinovsky Argentina 9 339 1.0× 123 0.6× 94 0.7× 59 0.6× 126 1.3× 17 381

Countries citing papers authored by Grace A. Ashley

Since Specialization
Citations

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

Fields of papers citing papers by Grace A. Ashley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace A. Ashley. 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 Grace A. Ashley. The network helps show where Grace A. Ashley may publish in the future.

Co-authorship network of co-authors of Grace A. Ashley

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

All Works

8 of 8 papers shown
1.
Ashley, Grace A., Robert J. Desnick, Ronald E. Gordon, & Jon W. Gordon. (2002). High Overexpression of the Human α-Galactosidase a Gene Driven by Its Promoter in Transgenic Mice: Implications for the Treatment of Fabry Disease. Journal of Investigative Medicine. 50(3). 185–192. 9 indexed citations
2.
Ashley, Grace A., Junaid Shabbeer, Makiko Yasuda, Christine M. Eng, & Robert J. Desnick. (2001). Fabry disease: twenty novel α-galactosidase A mutations causing the classical phenotype. Journal of Human Genetics. 46(4). 192–196. 52 indexed citations
3.
Ashton‐Prolla, Patrícia, Grace A. Ashley, Roberto Giugliani, et al.. (1999). Fabry disease: Comparison of enzymatic, linkage, and mutation analysis for carrier detection in a family with a novel mutation (30delG). American Journal of Medical Genetics. 84(5). 420–424. 28 indexed citations
4.
Ashley, Grace A., et al.. (1999). Twenty Novel Mutations in the α-Galactosidase A Gene Causing Fabry Disease. Molecular Medicine. 5(12). 806–811. 64 indexed citations
5.
Caggana, Michele, Grace A. Ashley, Robert J. Desnick, & Christine M. Eng. (1997). Fabry disease: Molecular carrier detection and prenatal diagnosis by analysis of closely linked polymorphisms at Xq22.1. American Journal of Medical Genetics. 71(3). 329–335. 17 indexed citations
6.
Caggana, Michele, Grace A. Ashley, Robert J. Desnick, & Christine M. Eng. (1997). Fabry disease: Molecular carrier detection and prenatal diagnosis by analysis of closely linked polymorphisms at Xq22.1. American Journal of Medical Genetics. 71(3). 329–335.
7.
Eng, Christine M., et al.. (1997). Fabry disease: thirty-five mutations in the alpha-galactosidase A gene in patients with classic and variant phenotypes.. PubMed. 3(3). 174–82. 105 indexed citations
8.
Eng, Christine M., et al.. (1997). Fabry Disease: Thirty-Five Mutations in the α-Galactosidase A Gene in Patients with Classic and Variant Phenotypes. Molecular Medicine. 3(3). 174–182. 100 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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