David E. Sleat
Impact in
- Physiology top 0.2%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Cell Biology top 0.5%
- Cellular transport and secretion
Papers in
- Physiology 53
- Lysosomal Storage Disorders Research 50
- Calcium signaling and nucleotide metabolism 9
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- Glycosylation and Glycoproteins Research 17
- Co-authors
- Peter Lobel (59 shared papers)István Sohár (24 shared papers)Henry Lackland (7 shared papers)T. M. A. Wilson (9 shared papers)Philip Turner (8 shared papers)Michel Jadot (11 shared papers)John W. Watts (5 shared papers)Daniel Gallie (5 shared papers)
- Journals
- Molecular & Cellular Proteomics (8 papers)Biochemical Journal (7 papers)Molecular Therapy (7 papers)Nucleic Acids Research (6 papers)Journal of Proteome Research (4 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
David E. Sleat
82 papers receiving 5.4k citations
David E. Sleat's Hit Papers
Peers
Comparison fields: 5 of 106
- Physiology 641
- Physiology 2.8k
- Cell Biology 1.6k
- Endocrinology 306
- Biotechnology 333
Countries citing papers authored by David E. Sleat
This map shows the geographic impact of David E. Sleat'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 David E. Sleat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Sleat more than expected).
Fields of papers citing papers by David E. Sleat
This network shows the impact of papers produced by David E. Sleat. 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 David E. Sleat. The network helps show where David E. Sleat may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Sleat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of HE1 as the Second Gene of Niemann-Pick C Disease Hit paper breakdown → | 2000 | 702 |
| 2 | Association of Mutations in a Lysosomal Protein with Classical Late-Infantile Neuronal Ceroid Lipofuscinosis Hit paper breakdown → | 1997 | 509 |
| 3 | 1987 | 375 | |
| 4 | 2004 | 292 | |
| 5 | 2008 | 223 | |
| 6 | 1987 | 197 | |
| 7 | 1992 | 186 | |
| 8 | 2008 | 141 | |
| 9 | 1999 | 140 | |
| 10 | 2001 | 129 | |
| 11 | 2004 | 123 | |
| 12 | 2006 | 120 | |
| 13 | 1993 | 113 | |
| 14 | 1996 | 102 | |
| 15 | 1987 | 102 | |
| 16 | 2006 | 93 | |
| 17 | 2005 | 88 | |
| 18 | 2007 | 78 | |
| 19 | 1999 | 77 | |
| 20 | 1988 | 73 |
About David E. Sleat
David E. Sleat is a scholar working on Physiology, Molecular Biology, Cell Biology, Plant Science and Physiology, having authored 82 papers that have together received 5.6k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (50 papers), Cellular transport and secretion (41 papers), Plant Virus Research Studies (18 papers), Glycosylation and Glycoproteins Research (17 papers), Calcium signaling and nucleotide metabolism (9 papers), Carbohydrate Chemistry and Synthesis (8 papers), Transgenic Plants and Applications (6 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Physiology (641 citations), Physiology (2.8k citations), Cell Biology (1.6k citations), Endocrinology (306 citations) and Biotechnology (333 citations). David E. Sleat has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Peter Lobel, István Sohár, Henry Lackland, T. M. A. Wilson, Philip Turner, Michel Jadot, John W. Watts, Daniel Gallie, Marie T. Vanier and Peter Palukaitis. Their work appears in journals such as Molecular & Cellular Proteomics, Biochemical Journal, Molecular Therapy, Nucleic Acids Research and Journal of Proteome Research.
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.