Ivan T. Shaw
Impact in
Papers in
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- Signaling Pathways in Disease 1
- Nicotinic Acetylcholine Receptors Study 1
- 14-3-3 protein interactions 1
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- Neuropeptides and Animal Physiology 2
- Nerve injury and regeneration 1
- Co-authors
- Neil R. Cashman (7 shared papers)Jack P. Antel (2 shared papers)Simone Dahrouge (1 shared paper)Heather D. Durham (1 shared paper)Kenichiro Oda (1 shared paper)Takeshi Tabira (1 shared paper)Jan Krzysztof Blusztajn (1 shared paper)Joséphine Nalbantoglu (3 shared papers)
- Journals
- Neurobiology of Aging (1 paper)Annals of the New York Academy of Sciences (1 paper)Cell (1 paper)The Journal of Immunology (1 paper)Developmental Dynamics (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Ivan T. Shaw
7 papers receiving 1.1k citations
Ivan T. Shaw's Hit Papers
Peers
Comparison fields: 5 of 81
- Neurology 201
- Neurology 313
- Genetics 218
- Developmental Neuroscience 51
- Cellular and Molecular Neuroscience 220
Countries citing papers authored by Ivan T. Shaw
This map shows the geographic impact of Ivan T. Shaw'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 Ivan T. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan T. Shaw more than expected).
Fields of papers citing papers by Ivan T. Shaw
This network shows the impact of papers produced by Ivan T. Shaw. 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 Ivan T. Shaw. The network helps show where Ivan T. Shaw may publish in the future.
Co-authors
The 22 scholars most cited alongside Ivan T. Shaw, 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 | Neuroblastoma × spinal cord (NSC) hybrid cell lines resemble developing motor neurons Hit paper breakdown → | 1992 | 624 |
| 2 | 1990 | 272 | |
| 3 | 1995 | 97 | |
| 4 | 1993 | 40 | |
| 5 | 1994 | 30 | |
| 6 | 1997 | 25 | |
| 7 | 1992 | 6 |
About Ivan T. Shaw
Ivan T. Shaw is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Microbiology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Neuroblastoma Research and Treatments (1 paper), Signaling Pathways in Disease (1 paper), Nerve injury and regeneration (1 paper), MicroRNA in disease regulation (1 paper), Nicotinic Acetylcholine Receptors Study (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Neurology (201 citations), Neurology (313 citations), Genetics (218 citations), Developmental Neuroscience (51 citations) and Cellular and Molecular Neuroscience (220 citations). Ivan T. Shaw has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Neil R. Cashman, Jack P. Antel, Simone Dahrouge, Heather D. Durham, Kenichiro Oda, Takeshi Tabira, Jan Krzysztof Blusztajn, Joséphine Nalbantoglu, Richard J. Kascsak and David C. Bolton. Their work appears in journals such as Neurobiology of Aging, Annals of the New York Academy of Sciences, Cell, The Journal of Immunology and Developmental Dynamics.
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.