Scott E. Phillips
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 5%
Papers in
- Cell Biology 18
- Cellular transport and secretion 16
- Endoplasmic Reticulum Stress and Disease 10
-
- Lysosomal Storage Disorders Research 5
- Co-authors
- Vytas A. Bankaitis (13 shared papers)Bingdong Sha (3 shared papers)Ming Luo (2 shared papers)James G. Alb (6 shared papers)Satoshi Kagiwada (1 shared paper)Brian G. Kearns (1 shared paper)Alma Gedvilaitė (1 shared paper)Todd P. McGee (1 shared paper)
- Journals
- Molecular Biology of the Cell (3 papers)Journal of Biological Chemistry (2 papers)Biochemical Journal (2 papers)Science Signaling (2 papers)Nature (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Scott E. Phillips
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Cell Biology 810
- Physiology 89
- Biochemistry 133
- Molecular Biology 1.1k
- Aging 19
Countries citing papers authored by Scott E. Phillips
This map shows the geographic impact of Scott E. Phillips'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 Scott E. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott E. Phillips more than expected).
Fields of papers citing papers by Scott E. Phillips
This network shows the impact of papers produced by Scott E. Phillips. 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 Scott E. Phillips. The network helps show where Scott E. Phillips may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott E. Phillips, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 243 | |
| 2 | 1997 | 241 | |
| 3 | 1999 | 128 | |
| 4 | 2003 | 106 | |
| 5 | 2016 | 106 | |
| 6 | 2015 | 93 | |
| 7 | 2006 | 90 | |
| 8 | 1998 | 81 | |
| 9 | 2008 | 75 | |
| 10 | 2002 | 68 | |
| 11 | 2007 | 48 | |
| 12 | 2016 | 47 | |
| 13 | 2015 | 46 | |
| 14 | 2006 | 42 | |
| 15 | 2012 | 32 | |
| 16 | 2007 | 31 | |
| 17 | 2005 | 29 | |
| 18 | 1988 | 27 | |
| 19 | 2018 | 24 | |
| 20 | 2015 | 19 |
About Scott E. Phillips
Scott E. Phillips is a scholar working on Cell Biology, Physiology, Molecular Biology, Physiology and Genetics, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (16 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Lysosomal Storage Disorders Research (5 papers), Neonatal Respiratory Health Research (4 papers), Cystic Fibrosis Research Advances (4 papers), Lipid Membrane Structure and Behavior (3 papers), Epigenetics and DNA Methylation (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cell Biology (810 citations), Physiology (89 citations), Biochemistry (133 citations), Molecular Biology (1.1k citations) and Aging (19 citations). Scott E. Phillips has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Vytas A. Bankaitis, Bingdong Sha, Ming Luo, James G. Alb, Satoshi Kagiwada, Brian G. Kearns, Alma Gedvilaitė, Todd P. McGee, Peter Mayinger and J. David Sweatt. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Biochemical Journal, Science Signaling and Nature.
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.