Jeff Castelli
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Rheumatology top 10%
- Glycogen Storage Diseases and Myoclonus
Papers in
- Physiology 18
- Lysosomal Storage Disorders Research 18
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- Glycogen Storage Diseases and Myoclonus 4
- Co-authors
- Sheela Sitaraman (9 shared papers)Laura M. C. Barisoni (3 shared papers)Pol F. Boudes (3 shared papers)Roberto Giugliani (2 shared papers)Dominique Paul Germain (2 shared papers)Kathy Nicholls (2 shared papers)David J. Lockhart (3 shared papers)Atul B Mehta (1 shared paper)
- Journals
- Molecular Genetics and Metabolism (6 papers)Genetics in Medicine (2 papers)The Lancet Neurology (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Neuromuscular Disorders (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jeff Castelli
18 papers receiving 867 citations
Jeff Castelli's Hit Papers
Peers
Comparison fields: 5 of 59
- Physiology 711
- Rheumatology 154
- Cell Biology 153
- Epidemiology 239
- Organic Chemistry 204
Countries citing papers authored by Jeff Castelli
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
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-authors
The 25 scholars most cited alongside Jeff Castelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of Fabry’s Disease with the Pharmacologic Chaperone Migalastat Hit paper breakdown → | 2016 | 437 |
| 2 | 2016 | 183 | |
| 3 | 2021 | 94 | |
| 4 | 2012 | 91 | |
| 5 | 2012 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2014 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 0 | |
| 20 | 2025 | 0 |
About Jeff Castelli
Jeff Castelli is a scholar working on Physiology, Rheumatology, Cell Biology, Molecular Biology and Physiology, having authored 20 papers that have together received 893 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (18 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Biochemical and Molecular Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cellular transport and secretion (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), CRISPR and Genetic Engineering (1 paper) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Physiology (711 citations), Rheumatology (154 citations), Cell Biology (153 citations), Epidemiology (239 citations) and Organic Chemistry (204 citations). Jeff Castelli has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Sheela Sitaraman, Laura M. C. Barisoni, Pol F. Boudes, Roberto Giugliani, Dominique Paul Germain, Kathy Nicholls, David J. Lockhart, Atul B Mehta, Derralynn A. Hughes and John Charles Jennette. Their work appears in journals such as Molecular Genetics and Metabolism, Genetics in Medicine, The Lancet Neurology, Archives of Pathology & Laboratory Medicine and Neuromuscular Disorders.
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.