Mariam Ehsani
Impact in
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- Lipid metabolism and disorders
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Glycosylation and Glycoproteins Research 1
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- Lipid metabolism and disorders 7
- Co-authors
- Yuewei Qian (14 shared papers)Robert J. Konrad (11 shared papers)Yan Chen (9 shared papers)Robert W. Siegel (7 shared papers)Yuejun Zhen (6 shared papers)Xiliang Wang (5 shared papers)Thomas P. Beyer (2 shared papers)Deshun Lu (1 shared paper)
- Journals
- Journal of Lipid Research (5 papers)Drug Metabolism and Disposition (1 paper)Analytical Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Mariam Ehsani
15 papers receiving 623 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 251
- Endocrinology, Diabetes and Metabolism 158
- Cancer Research 92
- Surgery 201
- Immunology 69
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 | 198 | |
| 2 | 2020 | 118 | |
| 3 | 2011 | 62 | |
| 4 | 2021 | 58 | |
| 5 | 2008 | 45 | |
| 6 | 2022 | 36 | |
| 7 | 2007 | 22 | |
| 8 | 2023 | 22 | |
| 9 | 2021 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 10 | |
| 12 | 2013 | 9 | |
| 13 | 2000 | 9 | |
| 14 | 2007 | 7 | |
| 15 | 2010 | 1 | |
| 16 | 2025 | 0 |
About Mariam Ehsani
Mariam Ehsani is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology, having authored 16 papers that have together received 631 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Glycosylation and Glycoproteins Research (1 paper), NF-κB Signaling Pathways (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (251 citations), Endocrinology, Diabetes and Metabolism (158 citations), Cancer Research (92 citations), Surgery (201 citations) and Immunology (69 citations). Mariam Ehsani has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Yuewei Qian, Robert J. Konrad, Yan Chen, Robert W. Siegel, Yuejun Zhen, Xiliang Wang, Thomas P. Beyer, Deshun Lu, Patrick I. Eacho and Weiming Li. Their work appears in journals such as Journal of Lipid Research, Drug Metabolism and Disposition, Analytical Biochemistry, Biochemical and Biophysical Research Communications and Journal of Virology.
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.