Mariam Ehsani
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
-
- Lipid metabolism and disorders
Papers in ⓘ
-
- Lipid metabolism and disorders 7
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Co-authors
- Yuewei Qian (13 shared papers)Robert J. Konrad (10 shared papers)Robert W. Siegel (7 shared papers)Yan Chen (8 shared papers)Yuejun Zhen (5 shared papers)Xiliang Wang (5 shared papers)Thomas P. Beyer (2 shared papers)Aimin Lin (2 shared papers)
- Journals
- Journal of Lipid Research (5 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Virology (1 paper)Journal of Biological Chemistry (1 paper)Heliyon (1 paper)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Mariam Ehsani
15 papers receiving 591 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 200
- Cardiology and Cardiovascular Medicine 242
- Cancer Research 113
- Surgery 212
- Immunology 77
Countries citing papers authored by Mariam Ehsani
This map shows the geographic impact of Mariam Ehsani'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 Mariam Ehsani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariam Ehsani more than expected).
Fields of papers citing papers by Mariam Ehsani
This network shows the impact of papers produced by Mariam Ehsani. 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 Mariam Ehsani. The network helps show where Mariam Ehsani may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariam Ehsani, 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 | 2007 | 194 | |
| 2 | 2020 | 108 | |
| 3 | 2011 | 61 | |
| 4 | 2021 | 53 | |
| 5 | 2008 | 44 | |
| 6 | 2022 | 32 | |
| 7 | 2007 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2000 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2007 | 7 | |
| 15 | 2010 | 1 |
About Mariam Ehsani
Mariam Ehsani is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Biochemistry, Cancer Research and Pharmacology, having authored 15 papers that have together received 598 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), interferon and immune responses (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (200 citations), Cardiology and Cardiovascular Medicine (242 citations), Cancer Research (113 citations), Surgery (212 citations) and Immunology (77 citations). Mariam Ehsani has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Yuewei Qian, Robert J. Konrad, Robert W. Siegel, Yan Chen, Yuejun Zhen, Xiliang Wang, Thomas P. Beyer, Aimin Lin, Guoqing Cao and Deshun Lu. Their work appears in journals such as Journal of Lipid Research, Proceedings of the National Academy of Sciences, Journal of Virology, Journal of Biological Chemistry and Heliyon.
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.