Marie T. Vanier
- Physiology top 0.1%
- Lysosomal Storage Disorders Research 109
- Calcium signaling and nucleotide metabolism 13
- Physiology top 0.1%
- Lysosomal Storage Disorders Research 109
- Calcium signaling and nucleotide metabolism 13
- Cell Biology top 0.5%
- Cellular transport and secretion 19
- Hematology top 0.5%
- Autoimmune and Inflammatory Disorders Research 20
- Organic Chemistry top 0.5%
- Carbohydrate Chemistry and Synthesis 42
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- Glycogen Storage Diseases and Myoclonus 19
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- Child Nutrition and Feeding Issues 16
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- Sphingolipid Metabolism and Signaling 12
- Co-authors
- Steven U. WalkleyLars SvennerholmMarc C. PattersonGilles MillatPeter LobelDavid E. SleatAnthony H. FensomDavid A. Wenger
- Cited by
- PhysiologyCell Biology
- Journals
- Science (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Marie T. Vanier
139 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 1.3k
- Physiology 6.8k
- Cell Biology 1.7k
- Hematology 1.1k
- Organic Chemistry 2.1k
Countries citing papers authored by Marie T. Vanier
This map shows the geographic impact of Marie T. Vanier'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 Marie T. Vanier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie T. Vanier more than expected).
Fields of papers citing papers by Marie T. Vanier
This network shows the impact of papers produced by Marie T. Vanier. 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 Marie T. Vanier. The network helps show where Marie T. Vanier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie T. Vanier, 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 | 2023 | 7 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 4 | |
| 4 | 2017 | 49 | |
| 5 | 2017 | 10 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 69 | |
| 8 | 2013 | 145 | |
| 9 | 2012 | 64 | |
| 10 | 2012 | 67 | |
| 11 | 2011 | 20 | |
| 12 | 2011 | 49 | |
| 13 | 2010 | 115 | |
| 14 | 2008 | 167 | |
| 15 | 2007 | 16 | |
| 16 | 1999 | 2 | |
| 17 | 1999 | 80 | |
| 18 | 1993 | 6 | |
| 19 | 1993 | 49 | |
| 20 | 1989 | 35 |
About Marie T. Vanier
Marie T. Vanier is a scholar working on Physiology, Physiology and Hematology, having authored 141 papers that have together received 9.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (109 papers), Carbohydrate Chemistry and Synthesis (42 papers), Autoimmune and Inflammatory Disorders Research (20 papers), Glycogen Storage Diseases and Myoclonus (19 papers), Cellular transport and secretion (19 papers), Child Nutrition and Feeding Issues (16 papers), Calcium signaling and nucleotide metabolism (13 papers) and Sphingolipid Metabolism and Signaling (12 papers). The work is most often cited by research in Physiology (1.3k citations), Physiology (6.8k citations) and Cell Biology (1.7k citations). Marie T. Vanier has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Steven U. Walkley, Lars Svennerholm, Marc C. Patterson, Gilles Millat, Peter Lobel, David E. Sleat, Anthony H. Fensom, David A. Wenger, Frédéric Sedel and Peter G. Pentchev. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.