Daniel Ory
- Virology top 1%
- Physiology top 0.5%
- Lysosomal Storage Disorders Research 42
- Calcium signaling and nucleotide metabolism 12
- Genetics top 0.5%
- Physiology top 0.5%
- Lysosomal Storage Disorders Research 42
- Calcium signaling and nucleotide metabolism 12
- Molecular Biology top 1%
- Sphingolipid Metabolism and Signaling 15
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- Chalcogenide Semiconductor Thin Films 24
- Perovskite Materials and Applications 21
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- Cholesterol and Lipid Metabolism 21
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- Quantum Dots Synthesis And Properties 18
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- Carbohydrate Chemistry and Synthesis 15
- Co-authors
- Richard C. MulliganUlrike BlömerDidier TronoPhilippe GallayFred H. GageInder M. VermaLuigi NaldiniJean E. Schaffer
- Cited by
- VirologyPhysiologyGenetics
- Journals
- Journal of Biological Chemistry (9 papers)Journal of Lipid Research (7 papers)Human Molecular Genetics (5 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Daniel Ory
109 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Virology 747
- Physiology 581
- Genetics 2.9k
- Physiology 2.1k
- Molecular Biology 5.4k
Countries citing papers authored by Daniel Ory
This map shows the geographic impact of Daniel Ory'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 Ory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ory more than expected).
Fields of papers citing papers by Daniel Ory
This network shows the impact of papers produced by Daniel Ory. 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 Ory. The network helps show where Daniel Ory may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Ory, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 38 | |
| 12 | 2019 | 36 | |
| 13 | 2018 | 89 | |
| 14 | 2018 | 56 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 31 | |
| 17 | 2017 | 17 | |
| 18 | 2015 | 156 | |
| 19 | miR-33 links SREBP-2 induction to repression of sterol transportersbreakdown → | 2010 | 456 |
| 20 | 2006 | 137 |
About Daniel Ory
Daniel Ory is a scholar working on Physiology, Physiology and Hematology, having authored 110 papers that have together received 10.4k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (42 papers), Chalcogenide Semiconductor Thin Films (24 papers), Cholesterol and Lipid Metabolism (21 papers), Perovskite Materials and Applications (21 papers), Quantum Dots Synthesis And Properties (18 papers), Sphingolipid Metabolism and Signaling (15 papers), Carbohydrate Chemistry and Synthesis (15 papers) and Calcium signaling and nucleotide metabolism (12 papers). The work is most often cited by research in Virology (747 citations), Physiology (581 citations) and Genetics (2.9k citations). Daniel Ory has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Richard C. Mulligan, Ulrike Blömer, Didier Trono, Philippe Gallay, Fred H. Gage, Inder M. Verma, Luigi Naldini, Jean E. Schaffer, Ángel Baldán and Ryan M. Allen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Human Molecular Genetics, Proceedings of the National Academy of Sciences and Journal of Applied Physics.
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.