Jamie Morris
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Cancer, Lipids, and Metabolism
Papers in
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- Protein Structure and Dynamics 6
- Peroxisome Proliferator-Activated Receptors 5
- Metabolomics and Mass Spectrometry Studies 2
- Surgery 10
- Lipoproteins and Cardiovascular Health 8
- Co-authors
- W. Sean Davidson (18 shared papers)W. Gray Jerome (5 shared papers)Thomas B. Thompson (7 shared papers)Kerry‐Anne Rye (2 shared papers)John Melchior (8 shared papers)Rong Huang (1 shared paper)Gang Ren (1 shared paper)Elena O. Gracheva (1 shared paper)
- Journals
- Journal of Lipid Research (7 papers)Journal of Biological Chemistry (5 papers)iScience (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Jamie Morris
20 papers receiving 535 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 169
- Cancer Research 79
- Structural Biology 7
- Surgery 173
- Biochemistry 28
Countries citing papers authored by Jamie Morris
This map shows the geographic impact of Jamie Morris'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 Jamie Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Morris more than expected).
Fields of papers citing papers by Jamie Morris
This network shows the impact of papers produced by Jamie Morris. 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 Jamie Morris. The network helps show where Jamie Morris may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Morris, 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 | 172 | |
| 2 | 2018 | 69 | |
| 3 | 2017 | 55 | |
| 4 | 2012 | 45 | |
| 5 | 2018 | 44 | |
| 6 | 2014 | 25 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2015 | 15 | |
| 11 | 2013 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2009 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2016 | 1 |
About Jamie Morris
Jamie Morris is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Computational Theory and Mathematics, having authored 20 papers that have together received 544 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Protein Structure and Dynamics (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cancer, Lipids, and Metabolism (3 papers), Lipid metabolism and biosynthesis (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (169 citations), Cancer Research (79 citations), Structural Biology (7 citations), Surgery (173 citations) and Biochemistry (28 citations). Jamie Morris has collaborated with scholars based in United States, Australia and France. Frequent co-authors include W. Sean Davidson, W. Gray Jerome, Thomas B. Thompson, Kerry‐Anne Rye, John Melchior, Rong Huang, Gang Ren, Elena O. Gracheva, Anatol Kontush and Jianwen Fang. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, iScience, Arteriosclerosis Thrombosis and Vascular Biology and Nature Protocols.
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.