Michael J. Pagliassotti
- Epidemiology top 0.5%
- Physiology top 0.5%
- Cell Biology top 0.5%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Yuren WeiChristopher L. GentileDong WangAlan D. CherringtonC. M. DonovanMichael E. BizeauTracy J. HortonJames O. Hill
- Topics
- Liver Disease Diagnosis and Treatment (34 papers)Adipose Tissue and Metabolism (34 papers)Pancreatic function and diabetes (31 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Michael J. Pagliassotti
110 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Epidemiology 2.8k
- Physiology 2.4k
- Cell Biology 1.8k
- Molecular Biology 1.8k
- Endocrinology, Diabetes and Metabolism 1.8k
Countries citing papers authored by Michael J. Pagliassotti
This map shows the geographic impact of Michael J. Pagliassotti'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 Michael J. Pagliassotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Pagliassotti more than expected).
Fields of papers citing papers by Michael J. Pagliassotti
This network shows the impact of papers produced by Michael J. Pagliassotti. 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 Michael J. Pagliassotti. The network helps show where Michael J. Pagliassotti may publish in the future.
Co-authorship network of co-authors of Michael J. Pagliassotti
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Pagliassotti. A scholar is included among the top collaborators of Michael J. Pagliassotti 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 Michael J. Pagliassotti. Michael J. Pagliassotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 18 | |
| 3 | 110 | |
| 4 | 47 | |
| 5 | 24 | |
| 6 | Lipid-induced insulin resistance mediated by the proinflammatory receptor TLR4 requires saturated fatty acid–induced ceramide biosynthesis in micebreakdown → | 558 |
| 7 | 193 | |
| 8 | Saturated fatty acids induce endoplasmic reticulum stress and apoptosis independently of ceramide in liver cellsbreakdown → | 585 |
| 9 | 73 | |
| 10 | 45 | |
| 11 | 441 | |
| 12 | 129 | |
| 13 | 21 | |
| 14 | 25 | |
| 15 | 18 | |
| 16 | 54 | |
| 17 | 19 | |
| 18 | 86 | |
| 19 | 101 | |
| 20 | 9 |
About Michael J. Pagliassotti
Michael J. Pagliassotti is a scholar working on Cell Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 110 papers that have together received 6.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (34 papers), Adipose Tissue and Metabolism (34 papers) and Pancreatic function and diabetes (31 papers). The work is most often cited by research in Cell Biology (1.8k citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Physiology (2.4k citations). Michael J. Pagliassotti has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Yuren Wei, Christopher L. Gentile, Dong Wang, Dong Wang, Alan D. Cherrington, C. M. Donovan, Michael E. Bizeau, Tracy J. Horton, James O. Hill and Doss W. Neal. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and The Journal of Physiology.
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.