Raphael Schiffmann
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Lysosomal Storage Disorders Research 8
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- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- RNA regulation and disease 2
- Co-authors
- Thomas J. DeGraba (2 shared papers)Eric Brown (2 shared papers)Richard M. McCarron (2 shared papers)Françoise Dignat‐George (2 shared papers)Gheona Altarescu (2 shared papers)Salman Azhar (2 shared papers)Peter Herscovitch (1 shared paper)Christine R. Kaneski (3 shared papers)
- Journals
- Annals of Neurology (4 papers)Human Mutation (1 paper)Journal of Neuroimaging (1 paper)Blood (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Raphael Schiffmann
10 papers receiving 523 citations
Peers
Comparison fields: 5 of 50
- Physiology 261
- Cell Biology 143
- Rheumatology 93
- Neurology 43
- Molecular Biology 299
Countries citing papers authored by Raphael Schiffmann
This map shows the geographic impact of Raphael Schiffmann'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 Raphael Schiffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Schiffmann more than expected).
Fields of papers citing papers by Raphael Schiffmann
This network shows the impact of papers produced by Raphael Schiffmann. 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 Raphael Schiffmann. The network helps show where Raphael Schiffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Schiffmann, 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 | 1994 | 174 | |
| 2 | 2000 | 156 | |
| 3 | 2001 | 55 | |
| 4 | Correction of the enzyme deficiency in hematopoietic cells of Gaucher patients using a clinically acceptable retroviral supernatant transduction protocol. | 1994 | 49 |
| 5 | 1997 | 46 | |
| 6 | 1999 | 30 | |
| 7 | 2000 | 9 | |
| 8 | 2000 | 8 | |
| 9 | 1998 | 8 | |
| 10 | 1995 | 4 |
About Raphael Schiffmann
Raphael Schiffmann is a scholar working on Physiology, Molecular Biology, Ophthalmology, Neurology and Genetics, having authored 10 papers that have together received 539 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (8 papers), Retinal Diseases and Treatments (3 papers), Virus-based gene therapy research (2 papers), Cerebrovascular and genetic disorders (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), RNA regulation and disease (2 papers) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Physiology (261 citations), Cell Biology (143 citations), Rheumatology (93 citations), Neurology (43 citations) and Molecular Biology (299 citations). Raphael Schiffmann has collaborated with scholars based in United States and Poland. Frequent co-authors include Thomas J. DeGraba, Eric Brown, Richard M. McCarron, Françoise Dignat‐George, Gheona Altarescu, Salman Azhar, Peter Herscovitch, Christine R. Kaneski, Bruce D. Trapp and Norman W. Barton. Their work appears in journals such as Annals of Neurology, Human Mutation, Journal of Neuroimaging, Blood and Experimental Hematology.
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.