Daniel Gruskin

1.4k total citations
8 papers, 453 citations indexed

About

Daniel Gruskin is a scholar working on Physiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Daniel Gruskin has authored 8 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Molecular Biology and 1 paper in Organic Chemistry. Recurrent topics in Daniel Gruskin's work include Lysosomal Storage Disorders Research (4 papers), Glycosylation and Glycoproteins Research (1 paper) and Glycogen Storage Diseases and Myoclonus (1 paper). Daniel Gruskin is often cited by papers focused on Lysosomal Storage Disorders Research (4 papers), Glycosylation and Glycoproteins Research (1 paper) and Glycogen Storage Diseases and Myoclonus (1 paper). Daniel Gruskin collaborates with scholars based in United States, Germany and France. Daniel Gruskin's co-authors include Mislen Bauer, Nancy D. Leslie, Ans van der Ploeg, Claire Morgan, Gilles Morin, John Clancy, Priya S. Kishnani, Tara O’Meara, Hanna Mandel and Elisa Tsao and has published in prestigious journals such as Nature Biotechnology, The Journal of Pediatrics and Pediatric Research.

In The Last Decade

Daniel Gruskin

8 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gruskin United States 5 360 183 157 153 75 8 453
Juan Francisco Cabello Chile 11 126 0.3× 50 0.3× 107 0.7× 86 0.6× 26 0.3× 32 287
Norma Spécola Argentina 11 181 0.5× 61 0.3× 206 1.3× 154 1.0× 10 0.1× 19 376
Elizabeth Jacklin United Kingdom 4 337 0.9× 52 0.3× 24 0.2× 55 0.4× 154 2.1× 6 373
F. J. van Spronsen Netherlands 13 224 0.6× 77 0.4× 410 2.6× 215 1.4× 9 0.1× 27 504
Danijela Petković Ramadža Croatia 9 103 0.3× 60 0.3× 118 0.8× 134 0.9× 11 0.1× 26 280
F. Güttler Denmark 9 226 0.6× 76 0.4× 389 2.5× 270 1.8× 6 0.1× 15 491
Mercedes Casado Spain 12 45 0.1× 35 0.2× 101 0.6× 164 1.1× 9 0.1× 25 332
Akiko Ichinohe Japan 10 47 0.1× 63 0.3× 162 1.0× 200 1.3× 9 0.1× 17 396
F. G�ttler Denmark 10 127 0.4× 120 0.7× 341 2.2× 278 1.8× 2 0.0× 16 448
C. Lykkelund Denmark 8 147 0.4× 22 0.1× 232 1.5× 164 1.1× 5 0.1× 15 330

Countries citing papers authored by Daniel Gruskin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gruskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gruskin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gruskin. A scholar is included among the top collaborators of Daniel Gruskin 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 Daniel Gruskin. Daniel Gruskin 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.
Hopkin, Robert J., Dominique P. Germain, Daniel G. Bichet, et al.. (2018). A survivor analysis for major clinical events in heterozygous female patients with Fabry disease using group consensus phenotype classifications from hemizygous male patients. Molecular Genetics and Metabolism. 123(2). S65–S66. 1 indexed citations
2.
Göker-Alpan, Özlem, Michael J. Gambello, Gustavo Maegawa, et al.. (2015). Reduction of Plasma Globotriaosylsphingosine Levels After Switching from Agalsidase Alfa to Agalsidase Beta as Enzyme Replacement Therapy for Fabry Disease. JIMD Reports. 25. 95–106. 22 indexed citations
3.
Gruskin, Daniel. (2012). Agbiotech 2.0. Nature Biotechnology. 30(3). 211–214. 7 indexed citations
4.
Wilcox, William R., Daniel Gruskin, & David G. Warnock. (2011). Few females develop anti-α-galactosidase A IgG antibodies in response to agalsidase beta treatment: data from the Fabry Registry. Molecular Genetics and Metabolism. 102(2). S46–S47. 2 indexed citations
5.
Laney, Dawn A., Daniel Gruskin, Paul M. Fernhoff, et al.. (2010). Social‐adaptive and psychological functioning of patients affected by Fabry disease. Journal of Inherited Metabolic Disease. 33(S3). 73–81. 32 indexed citations
6.
Trefz, Friedrich K., Barbara K. Burton, Nicola Longo, et al.. (2009). Efficacy of Sapropterin Dihydrochloride in Increasing Phenylalanine Tolerance in Children with Phenylketonuria: A Phase III, Randomized, Double-Blind, Placebo-Controlled Study. The Journal of Pediatrics. 154(5). 700–707.e1. 156 indexed citations
7.
Kishnani, Priya S., Deya Corzo, Nancy D. Leslie, et al.. (2009). Early Treatment With Alglucosidase Alfa Prolongs Long-Term Survival of Infants With Pompe Disease. Pediatric Research. 66(3). 329–335. 232 indexed citations
8.
Laney, Dawn A., et al.. (2008). 58. Reproductive fitness in individuals affected by Fabry disease. Molecular Genetics and Metabolism. 93(2). 28–28. 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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