Shawn G. Payne
- Cell Biology top 1%
- Cellular transport and secretion 5
- Endoplasmic Reticulum Stress and Disease 4
- Molecular Biology top 2%
- Sphingolipid Metabolism and Signaling 21
- Lipid Membrane Structure and Behavior 8
- Neurology top 5%
- Immunology top 10%
- Mast cells and histamine 3
- Physiology top 5%
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- Carbohydrate Chemistry and Synthesis 3
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- Platelet Disorders and Treatments 2
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- Cholesterol and Lipid Metabolism 2
- Co-authors
- Sarah SpiegelSheldon MilstienMichael MaceykaPoulami MitraCarole A. OskeritzianSuzanne E. BarbourMeryem BektasMichael A. Beaven
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Shawn G. Payne
24 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 95
- Cell Biology 800
- Molecular Biology 2.6k
- Neurology 154
- Immunology 371
- Physiology 79
Countries citing papers authored by Shawn G. Payne
This map shows the geographic impact of Shawn G. Payne'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 Shawn G. Payne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn G. Payne more than expected).
Fields of papers citing papers by Shawn G. Payne
This network shows the impact of papers produced by Shawn G. Payne. 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 Shawn G. Payne. The network helps show where Shawn G. Payne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn G. Payne, 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 | 2008 | 34 | |
| 2 | 2007 | 100 | |
| 3 | 2007 | 13 | |
| 4 | 2007 | 149 | |
| 5 | 2007 | 17 | |
| 6 | 2005 | 166 | |
| 7 | 2005 | 171 | |
| 8 | 2005 | 52 | |
| 9 | 2005 | 19 | |
| 10 | 2004 | 70 | |
| 11 | 2004 | 14 | |
| 12 | 2004 | 39 | |
| 13 | 2004 | 151 | |
| 14 | 2003 | 256 | |
| 15 | 2003 | 309 | |
| 16 | 2002 | 165 | |
| 17 | 2002 | 58 | |
| 18 | 2002 | 476 | |
| 19 | 1999 | 54 | |
| 20 | 1999 | 56 |
About Shawn G. Payne
Shawn G. Payne is a scholar working on Cell Biology, Molecular Biology and Hematology, having authored 24 papers that have together received 2.9k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (21 papers), Lipid Membrane Structure and Behavior (8 papers), Cellular transport and secretion (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Mast cells and histamine (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Platelet Disorders and Treatments (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Cell Biology (800 citations), Molecular Biology (2.6k citations) and Neurology (154 citations). Shawn G. Payne has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sarah Spiegel, Sheldon Milstien, Michael Maceyka, Poulami Mitra, Carole A. Oskeritzian, Suzanne E. Barbour, Meryem Bektas, Michael A. Beaven, Sravan K. Goparaju and Steven W. Paugh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.