W. Sean Davidson
- Surgery top 0.5%
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Physiology top 1%
- Cancer Research top 1%
- Co-authors
- Ana JonasJulia M. GeorgeDavid F. ClaytonMichael C. PhillipsSissel Lund‐KatzAmy S. ShahScott M. GordonAnatol Kontush
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (70 papers)Cholesterol and Lipid Metabolism (52 papers)Lipoproteins and Cardiovascular Health (42 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
W. Sean Davidson
173 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Surgery 3.8k
- Molecular Biology 3.6k
- Endocrinology, Diabetes and Metabolism 3.3k
- Physiology 1.4k
- Cancer Research 1.3k
Countries citing papers authored by W. Sean Davidson
This map shows the geographic impact of W. Sean Davidson'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 W. Sean Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Sean Davidson more than expected).
Fields of papers citing papers by W. Sean Davidson
This network shows the impact of papers produced by W. Sean Davidson. 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 W. Sean Davidson. The network helps show where W. Sean Davidson may publish in the future.
Co-authorship network of co-authors of W. Sean Davidson
This figure shows the co-authorship network connecting the top 25 collaborators of W. Sean Davidson. A scholar is included among the top collaborators of W. Sean Davidson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Sean Davidson. W. Sean Davidson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 12 | |
| 7 | Enterically derived high-density lipoprotein restrains liver injury through the portal veinbreakdown → | 135 |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 25 | |
| 12 | 77 | |
| 13 | 43 | |
| 14 | 12 | |
| 15 | 35 | |
| 16 | 32 | |
| 17 | 131 | |
| 18 | 70 | |
| 19 | 67 | |
| 20 | 3 |
About W. Sean Davidson
W. Sean Davidson is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Biochemistry, having authored 173 papers that have together received 9.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (70 papers), Cholesterol and Lipid Metabolism (52 papers) and Lipoproteins and Cardiovascular Health (42 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.3k citations), Surgery (3.8k citations) and Cancer Research (1.3k citations). W. Sean Davidson has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Ana Jonas, Julia M. George, David F. Clayton, Michael C. Phillips, Sissel Lund‐Katz, Amy S. Shah, Scott M. Gordon, Anatol Kontush, George H. Rothblat and J. Nicholas Maiorano. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.