David E. Sleat
- Physiology top 0.2%
- Lysosomal Storage Disorders Research 50
- Calcium signaling and nucleotide metabolism 9
- Physiology top 0.5%
- Lysosomal Storage Disorders Research 50
- Calcium signaling and nucleotide metabolism 9
- Cell Biology top 0.5%
- Cellular transport and secretion 41
- Endocrinology top 2%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 17
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- Plant Virus Research Studies 17
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- Carbohydrate Chemistry and Synthesis 7
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- Bacteriophages and microbial interactions 6
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- Transgenic Plants and Applications 5
- Co-authors
- Peter LobelIstván SohárHenry LacklandT. M. A. WilsonPhilip TurnerMichel JadotDaniel GallieJohn W. Watts
- Cited by
- PhysiologyCell Biology
- Journals
- Molecular & Cellular Proteomics (8 papers)Molecular Therapy (7 papers)Biochemical Journal (7 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
David E. Sleat
79 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Physiology 636
- Physiology 2.7k
- Cell Biology 1.6k
- Endocrinology 278
- Molecular Biology 2.3k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2019 | 30 | |
| 3 | 2018 | 3 | |
| 4 | 2017 | 13 | |
| 5 | 2014 | 47 | |
| 6 | 2013 | 41 | |
| 7 | 2008 | 215 | |
| 8 | 2007 | 71 | |
| 9 | 2006 | 29 | |
| 10 | 2006 | 64 | |
| 11 | 2006 | 19 | |
| 12 | 2005 | 84 | |
| 13 | 2001 | 119 | |
| 14 | 1999 | 72 | |
| 15 | 1996 | 100 | |
| 16 | 1992 | 7 | |
| 17 | 1989 | 8 | |
| 18 | 1988 | 25 | |
| 19 | 1988 | 49 | |
| 20 | 1987 | 92 |
About David E. Sleat
David E. Sleat is a scholar working on Cell Biology, Physiology and Physiology, having authored 79 papers that have together received 5.2k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (50 papers), Cellular transport and secretion (41 papers), Glycosylation and Glycoproteins Research (17 papers), Plant Virus Research Studies (17 papers), Calcium signaling and nucleotide metabolism (9 papers), Carbohydrate Chemistry and Synthesis (7 papers), Bacteriophages and microbial interactions (6 papers) and Transgenic Plants and Applications (5 papers). The work is most often cited by research in Physiology (636 citations), Physiology (2.7k citations) and Cell Biology (1.6k 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, Daniel Gallie, John W. Watts, Marie T. Vanier and Peter Palukaitis. Their work appears in journals such as Molecular & Cellular Proteomics, Molecular Therapy, Biochemical Journal, 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.