Azar Dashti
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Enzyme Catalysis and Immobilization 3
- CRISPR and Genetic Engineering 2
- Glycosylation and Glycoproteins Research 1
-
- Retinal Diseases and Treatments 3
- Co-authors
- Jordan Tang (4 shared papers)Xinli Lin (4 shared papers)Shili Wu (3 shared papers)Gerald Koelsch (1 shared paper)Timothy J. Lyons (5 shared papers)Sarah X. Zhang (2 shared papers)Jian‐xing Ma (2 shared papers)Alicia J. Jenkins (3 shared papers)
- Journals
- Diabetes Research and Clinical Practice (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Protein Expression and Purification (1 paper)European Journal of Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Azar Dashti
13 papers receiving 970 citations
Azar Dashti's Hit Papers
Peers
Comparison fields: 5 of 79
- Physiology 581
- Pharmacology 240
- Computational Theory and Mathematics 225
- Ophthalmology 58
- Cell Biology 110
Countries citing papers authored by Azar Dashti
This map shows the geographic impact of Azar Dashti'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 Azar Dashti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azar Dashti more than expected).
Fields of papers citing papers by Azar Dashti
This network shows the impact of papers produced by Azar Dashti. 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 Azar Dashti. The network helps show where Azar Dashti may publish in the future.
Co-authors
The 25 scholars most cited alongside Azar Dashti, 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 | Human aspartic protease memapsin 2 cleaves the β-secretase site of β-amyloid precursor protein Hit paper breakdown → | 2000 | 667 |
| 2 | 2008 | 74 | |
| 3 | 2008 | 70 | |
| 4 | 1995 | 52 | |
| 5 | 2005 | 36 | |
| 6 | 2012 | 21 | |
| 7 | 1996 | 19 | |
| 8 | 1993 | 16 | |
| 9 | 2008 | 15 | |
| 10 | 2003 | 15 | |
| 11 | 2002 | 12 | |
| 12 | 2002 | 4 | |
| 13 | 1998 | 2 |
About Azar Dashti
Azar Dashti is a scholar working on Molecular Biology, Ophthalmology, Surgery, Oncology and Cell Biology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (3 papers), Enzyme Catalysis and Immobilization (3 papers), Alzheimer's disease research and treatments (2 papers), Pancreatic function and diabetes (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Physiology (581 citations), Pharmacology (240 citations), Computational Theory and Mathematics (225 citations), Ophthalmology (58 citations) and Cell Biology (110 citations). Azar Dashti has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Jordan Tang, Xinli Lin, Shili Wu, Gerald Koelsch, Timothy J. Lyons, Sarah X. Zhang, Jian‐xing Ma, Alicia J. Jenkins, Deborah Downs and Christopher E. Aston. Their work appears in journals such as Diabetes Research and Clinical Practice, The Journal of Clinical Endocrinology & Metabolism, Protein Expression and Purification, European Journal of Biochemistry 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.