Parissa Sadri
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Surgery
- Co-authors
- W. Wayne LauttDallas J. LégaréMaria Paula MacedoSeiji TakayamaRicardo A. AfonsoShinichiro TakayamaGY MinukFiona E. Parkinson
- Topics
- Birth, Development, and Health (3 papers)Biochemical effects in animals (2 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)
In The Last Decade
Parissa Sadri
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 50
- Physiology 232
- Endocrine and Autonomic Systems 137
- Endocrinology, Diabetes and Metabolism 112
- Molecular Biology 75
- Surgery 60
Countries citing papers authored by Parissa Sadri
This map shows the geographic impact of Parissa Sadri'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 Parissa Sadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parissa Sadri more than expected).
Fields of papers citing papers by Parissa Sadri
This network shows the impact of papers produced by Parissa Sadri. 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 Parissa Sadri. The network helps show where Parissa Sadri may publish in the future.
Co-authorship network of co-authors of Parissa Sadri
This figure shows the co-authorship network connecting the top 25 collaborators of Parissa Sadri. A scholar is included among the top collaborators of Parissa Sadri 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 Parissa Sadri. Parissa Sadri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | Pharmaceutical reversal of insulin resistance. | 6 |
| 5 | 11 | |
| 6 | 71 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 67 | |
| 10 | 63 | |
| 11 | Fetal exposure to alcohol results in adult insulin resistance in the rat. | 14 |
| 12 | Blockade of nitric oxide production in the liver causes insulin resistance. | 10 |
| 13 | 48 | |
| 14 | Insulin resistance caused by nitric oxide synthase inhibition. | 15 |
About Parissa Sadri
Parissa Sadri is a scholar working on Physiology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include Birth, Development, and Health (3 papers), Biochemical effects in animals (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (137 citations), Physiology (232 citations) and Endocrinology, Diabetes and Metabolism (112 citations). Parissa Sadri has collaborated with scholars based in Canada and Portugal. Frequent co-authors include W. Wayne Lautt, Dallas J. Légaré, Maria Paula Macedo, Seiji Takayama, Ricardo A. Afonso, Shinichiro Takayama, GY Minuk, Fiona E. Parkinson, Timothy Othman and Heather Prieditis. Their work appears in journals such as British Journal Of Nutrition, American Journal of Physiology-Gastrointestinal and Liver Physiology and Neurotoxicology and Teratology.
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.