Alexander V. Skurat
- Rheumatology top 1%
- Glycogen Storage Diseases and Myoclonus 23
- Physiology top 5%
- Lysosomal Storage Disorders Research 8
- Cell Biology top 5%
- Muscle metabolism and nutrition 6
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders 8
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 6
- Metabolism, Diabetes, and Cancer 4
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- Carbohydrate Chemistry and Synthesis 7
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- Pancreatic function and diabetes 4
- Co-authors
- Peter J. RoachAmy D. DietrichAnna Depaoli-RoachJohn C. LawrenceLanmin ZhaiJill K. ManchesterVincent S. TagliabracciWei Wang
- Cited by
- RheumatologyPhysiologyCell Biology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (11 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Alexander V. Skurat
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Rheumatology 625
- Physiology 381
- Cell Biology 216
- Genetics 333
- Molecular Biology 798
Countries citing papers authored by Alexander V. Skurat
This map shows the geographic impact of Alexander V. Skurat'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 Alexander V. Skurat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander V. Skurat more than expected).
Fields of papers citing papers by Alexander V. Skurat
This network shows the impact of papers produced by Alexander V. Skurat. 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 Alexander V. Skurat. The network helps show where Alexander V. Skurat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander V. Skurat, 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 | 2024 | 4 | |
| 2 | Novel method for detection of glycogen in cells | 2017 | 4 |
| 3 | 2010 | 115 | |
| 4 | 2010 | 47 | |
| 5 | 2006 | 29 | |
| 6 | 2006 | 28 | |
| 7 | 2003 | 31 | |
| 8 | 2003 | 24 | |
| 9 | 2002 | 43 | |
| 10 | 2001 | 10 | |
| 11 | 2001 | 7 | |
| 12 | 2001 | 2 | |
| 13 | 2000 | 52 | |
| 14 | 1998 | 50 | |
| 15 | 1997 | 64 | |
| 16 | 1997 | 49 | |
| 17 | 1997 | 38 | |
| 18 | 1996 | 22 | |
| 19 | 1995 | 79 | |
| 20 | 1993 | 25 |
About Alexander V. Skurat
Alexander V. Skurat is a scholar working on Rheumatology, Physiology and Cell Biology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (23 papers), Lysosomal Storage Disorders Research (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (6 papers), Muscle metabolism and nutrition (6 papers), Pancreatic function and diabetes (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Rheumatology (625 citations), Physiology (381 citations) and Cell Biology (216 citations). Alexander V. Skurat has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Peter J. Roach, Amy D. Dietrich, Anna Depaoli-Roach, John C. Lawrence, Lanmin Zhai, Jill K. Manchester, Vincent S. Tagliabracci, Wei Wang, Yang Wang and James Mu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.