Nisha Iyer
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Neuroscience and Neural Engineering
Papers in
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- Neurogenesis and neuroplasticity mechanisms 8
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- Nerve injury and regeneration 5
- Co-authors
- Shelly E. Sakiyama‐ElbertRandolph S. AshtonThomas S. WilemsJennifer PardieckMatthew D. WoodSusan E. MackinnonEthan S. LippmannGavin Knight
- Journals
- eLife (2 papers)Experimental Neurology (1 paper)Biotechnology and Bioengineering (1 paper)Hand (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Nisha Iyer
20 papers receiving 672 citations
Peers
Comparison fields: 5 of 72
- Developmental Neuroscience 145
- Cellular and Molecular Neuroscience 276
- Genetics 99
- Pathology and Forensic Medicine 103
- Biomaterials 67
Countries citing papers authored by Nisha Iyer
This map shows the geographic impact of Nisha Iyer'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 Nisha Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Iyer more than expected).
Fields of papers citing papers by Nisha Iyer
This network shows the impact of papers produced by Nisha Iyer. 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 Nisha Iyer. The network helps show where Nisha Iyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nisha Iyer, 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 | 2023 | 4 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 187 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 50 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 85 | |
| 13 | 2017 | 9 | |
| 14 | 2016 | 22 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 47 | |
| 17 | 2015 | 53 | |
| 18 | 2015 | 54 | |
| 19 | 2015 | 11 | |
| 20 | 2014 | 47 |
About Nisha Iyer
Nisha Iyer is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Pathology and Forensic Medicine, having authored 20 papers that have together received 678 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Nerve injury and regeneration (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Zebrafish Biomedical Research Applications (4 papers), Mesenchymal stem cell research (3 papers), Spinal Cord Injury Research (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Developmental Neuroscience (145 citations), Cellular and Molecular Neuroscience (276 citations), Genetics (99 citations), Pathology and Forensic Medicine (103 citations) and Biomaterials (67 citations). Nisha Iyer has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Shelly E. Sakiyama‐Elbert, Randolph S. Ashton, Thomas S. Wilems, Jennifer Pardieck, Matthew D. Wood, Susan E. Mackinnon, Ethan S. Lippmann, Gavin Knight, Rebecca Willett and Kayee Tung. Their work appears in journals such as eLife, Experimental Neurology, Biotechnology and Bioengineering, Hand and Frontiers in Cell and Developmental Biology.
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.