Jeff Castelli

1.1k total citations
16 papers, 135 citations indexed

About

Jeff Castelli is a scholar working on Physiology, Molecular Biology and Rheumatology. According to data from OpenAlex, Jeff Castelli has authored 16 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Rheumatology. Recurrent topics in Jeff Castelli's work include Lysosomal Storage Disorders Research (13 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Biochemical and Molecular Research (3 papers). Jeff Castelli is often cited by papers focused on Lysosomal Storage Disorders Research (13 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Biochemical and Molecular Research (3 papers). Jeff Castelli collaborates with scholars based in United States, United Kingdom and Australia. Jeff Castelli's co-authors include Sheela Sitaraman, Pol Boudes, Laura Barisoni, Dominique P. Germain, Roberto Giugliani, David J. Lockhart, Kathy Nicholls, Derralynn Hughes, Atul Mehta and Simon Shohet and has published in prestigious journals such as Journal of Pharmaceutical Sciences, Muscle & Nerve and Genetics in Medicine.

In The Last Decade

Jeff Castelli

14 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Castelli United States 5 101 49 46 36 28 16 135
María José Coll Spain 3 114 1.1× 37 0.8× 18 0.4× 16 0.4× 37 1.3× 4 133
Paulina Mabe Chile 5 153 1.5× 55 1.1× 31 0.7× 35 1.0× 52 1.9× 8 181
José Francisco da Silva Franco Brazil 8 93 0.9× 41 0.8× 8 0.2× 37 1.0× 34 1.2× 12 142
Khan Nedd United States 5 138 1.4× 69 1.4× 50 1.1× 43 1.2× 35 1.3× 6 150
Ivan Doykov United Kingdom 6 62 0.6× 24 0.5× 16 0.3× 14 0.4× 34 1.2× 10 92
Marina Szlago Argentina 6 83 0.8× 34 0.7× 19 0.4× 22 0.6× 17 0.6× 10 97
Yu-Yuan Ke Taiwan 6 75 0.7× 46 0.9× 10 0.2× 31 0.9× 30 1.1× 6 119
Eszter Karg Hungary 4 71 0.7× 24 0.5× 17 0.4× 29 0.8× 30 1.1× 4 108
Evan Katz United States 2 170 1.7× 91 1.9× 86 1.9× 14 0.4× 62 2.2× 3 201
María Helena Solano Colombia 6 133 1.3× 53 1.1× 51 1.1× 6 0.2× 47 1.7× 27 204

Countries citing papers authored by Jeff Castelli

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Castelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Castelli

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

All Works

16 of 16 papers shown
1.
Mukherjee, Partha P., et al.. (2025). Risk assessment and management strategy of two new NDSRIs in a pharmaceutical drug product for the treatment of a rare disease: From prediction to control. Journal of Pharmaceutical Sciences. 114(3). 1572–1582. 1 indexed citations
3.
Kushlaf, Hani, Jordi Díaz‐Manera, Drago Bratkovic, et al.. (2025). Switching Enzyme Replacement Therapy for Late‐Onset Pompe Disease From Alglucosidase Alfa to Cipaglucosidase Alfa Plus Miglustat: Post Hoc Effect Size Analysis of PROPEL. Muscle & Nerve. 72(2). 230–239. 1 indexed citations
4.
Shohet, Simon, Noemi Hummel, Shuai Fu, et al.. (2024). Comparing the efficacy of cipaglucosidase alfa plus miglustat with other enzyme replacement therapies for late-onset Pompe disease: a network meta-analysis utilizing patient-level and aggregate data. Journal of Comparative Effectiveness Research. 13(10). e240045–e240045. 5 indexed citations
5.
Narula, Neeraj, Farhad Peerani, Talat Bessissow, et al.. (2024). DOP46 Tofacitinib for hospitalized acute severe Ulcerative Colitis – the TRIUMPH study. Journal of Crohn s and Colitis. 18(Supplement_1). i155–i155. 4 indexed citations
6.
Shohet, Simon, Jeff Castelli, Sheela Sitaraman, et al.. (2023). Therapeutic Role of Pharmacological Chaperones in Lysosomal Storage Disorders: A Review of the Evidence and Informed Approach to Reclassification. Biomolecules. 13(8). 1227–1227. 15 indexed citations
7.
Castelli, Jeff, Shuai Fu, Noemi Hummel, et al.. (2023). Indirect treatment comparison of three enzyme replacement treatments for late-onset Pompe disease: A network meta-analysis with patient-level and aggregate data. Molecular Genetics and Metabolism. 138(2). 107046–107046. 1 indexed citations
8.
Kishnani, Priya S., Drago Bratkovic, Barry J. Byrne, et al.. (2022). eP157: Efficacy and safety of cipaglucosidase alfa/miglustat versus alglucosidase alfa/placebo in late-onset Pompe disease: PROPEL study. Genetics in Medicine. 24(3). S96–S96.
9.
Johnson, Franklin K., Jia Kang, John Mondick, et al.. (2022). Plasma total GAA protein PK profiles differ between cipaglucosidase alfa/miglustat and alglucosidase alfa. Molecular Genetics and Metabolism. 135(2). S63–S63. 3 indexed citations
10.
Byrne, Barry J., Drago Bratkovic, Jordi Díaz‐Manera, et al.. (2022). Cipaglucosidase alfa/miglustat versus alglucosidase alfa/placebo in late-onset Pompe disease (LOPD): PROPEL study subgroup analyses. Molecular Genetics and Metabolism. 135(2). S27–S28. 4 indexed citations
11.
Reyes, Emily de los, Shawn C. Aylward, Kathrin Meyer, et al.. (2021). Single-dose AAV9-CLN6 gene transfer slows the decline in motor and language function in variant late infantile neuronal ceroid lipofuscinosis 6: Interim results from phase 1/2 trial. Molecular Genetics and Metabolism. 132(2). S32–S33. 3 indexed citations
12.
Reyes, Emily de los, Kathrin Meyer, Lenora Lehwald, et al.. (2020). Single-dose AAV9-CLN6 gene transfer stabilizes motor and language function in CLN6-type Batten disease: Interim results from the first clinical gene therapy trial. Molecular Genetics and Metabolism. 129(2). S46–S47. 3 indexed citations
14.
Barlow, Carrolee, Jeff Castelli, Elfrida R. Benjamin, et al.. (2014). Phase 3 FACETS study of migalastat HCl for Fabry disease: post hoc GLA mutation-based identification of subjects likely to show a drug effect. Molecular Genetics and Metabolism. 111(2). S24–S24. 1 indexed citations
15.
Germain, Dominique P., Roberto Giugliani, Derralynn Hughes, et al.. (2012). Safety and pharmacodynamic effects of a pharmacological chaperone on α-galactosidase A activity and globotriaosylceramide clearance in Fabry disease: report from two phase 2 clinical studies. Orphanet Journal of Rare Diseases. 7(1). 91–91. 77 indexed citations
16.
Barisoni, Laura, J. Charles Jennette, Robert B. Colvin, et al.. (2012). Novel Quantitative Method to Evaluate Globotriaosylceramide Inclusions in Renal Peritubular Capillaries by Virtual Microscopy in Patients With Fabry Disease. Archives of Pathology & Laboratory Medicine. 136(7). 816–824. 14 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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