Pegah Jamshidi
Impact in
- Developmental Neuroscience top 10%
-
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- RNA Interference and Gene Delivery
Papers in
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- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 3
- Sphingolipid Metabolism and Signaling 1
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- Neuroscience and Neural Engineering 3
- Co-authors
- Martín F. Pera (7 shared papers)Mirella Dottori (5 shared papers)Koula Sourris (2 shared papers)Edouard G. Stanley (2 shared papers)Magdaline Costa (2 shared papers)Andrew G. Elefanty (2 shared papers)Andrew L. Laslett (2 shared papers)Ernst J. Wolvetang (2 shared papers)
- Journals
- Nature Methods (1 paper)Cell Transplantation (1 paper)Stem Cells and Development (1 paper)Polymer Chemistry (1 paper)Biosensors (1 paper)
- Partner nations
- AustraliaUnited StatesIran
In The Last Decade
Pegah Jamshidi
10 papers receiving 571 citations
Peers
Comparison fields: 5 of 70
- Developmental Neuroscience 36
- Molecular Biology 471
- Cellular and Molecular Neuroscience 85
- Aging 6
- Genetics 36
Countries citing papers authored by Pegah Jamshidi
This map shows the geographic impact of Pegah Jamshidi'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 Pegah Jamshidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pegah Jamshidi more than expected).
Fields of papers citing papers by Pegah Jamshidi
This network shows the impact of papers produced by Pegah Jamshidi. 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 Pegah Jamshidi. The network helps show where Pegah Jamshidi may publish in the future.
Co-authors
The 25 scholars most cited alongside Pegah Jamshidi, 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 | 129 | |
| 2 | 2005 | 112 | |
| 3 | 2006 | 111 | |
| 4 | 2007 | 55 | |
| 5 | 2007 | 47 | |
| 6 | 2017 | 39 | |
| 7 | 2018 | 36 | |
| 8 | 2010 | 27 | |
| 9 | 2009 | 22 | |
| 10 | 2022 | 2 |
About Pegah Jamshidi
Pegah Jamshidi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Surgery and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 580 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Neuroscience and Neural Engineering (3 papers), CRISPR and Genetic Engineering (3 papers), 3D Printing in Biomedical Research (3 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Advanced Fiber Laser Technologies (1 paper) and Photorefractive and Nonlinear Optics (1 paper). The work is most often cited by research in Developmental Neuroscience (36 citations), Molecular Biology (471 citations), Cellular and Molecular Neuroscience (85 citations), Aging (6 citations) and Genetics (36 citations). Pegah Jamshidi has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include Martín F. Pera, Mirella Dottori, Koula Sourris, Edouard G. Stanley, Magdaline Costa, Andrew G. Elefanty, Andrew L. Laslett, Ernst J. Wolvetang, Elizabeth Ng and Susan M. Hawes. Their work appears in journals such as Nature Methods, Cell Transplantation, Stem Cells and Development, Polymer Chemistry and Biosensors.
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.