Jonathan Nakashima
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neurofibromatosis and Schwannoma Cases
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Ubiquitin and proteasome pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Protein Degradation and Inhibitors 1
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- Neurofibromatosis and Schwannoma Cases 3
- Co-authors
- Hong Wu (7 shared papers)Caroline Gregorian (2 shared papers)Michael V. Sofroniew (2 shared papers)Rachel Kim (1 shared paper)John J. Ohab (1 shared paper)Matthias Groszer (1 shared paper)Harley I. Kornblum (1 shared paper)A. Denise R. Garcia (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Neuro-Oncology (1 paper)BMC Cancer (1 paper)
- Partner nations
- United StatesBulgariaChina
In The Last Decade
Jonathan Nakashima
11 papers receiving 467 citations
Peers
Comparison fields: 5 of 75
- Developmental Neuroscience 67
- Neurology 80
- Aging 8
- Cancer Research 59
- Neurology 33
Countries citing papers authored by Jonathan Nakashima
This map shows the geographic impact of Jonathan Nakashima'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 Jonathan Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Nakashima more than expected).
Fields of papers citing papers by Jonathan Nakashima
This network shows the impact of papers produced by Jonathan Nakashima. 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 Jonathan Nakashima. The network helps show where Jonathan Nakashima may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Nakashima, 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 | 2009 | 223 | |
| 2 | 2009 | 88 | |
| 3 | 2014 | 70 | |
| 4 | 2014 | 49 | |
| 5 | 2015 | 13 | |
| 6 | 2014 | 12 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 3 | |
| 9 | 2013 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 1 |
About Jonathan Nakashima
Jonathan Nakashima is a scholar working on Molecular Biology, Neurology, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 470 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Soft tissue tumors and treatment (2 papers), Ubiquitin and proteasome pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Developmental Neuroscience (67 citations), Neurology (80 citations), Aging (8 citations), Cancer Research (59 citations) and Neurology (33 citations). Jonathan Nakashima has collaborated with scholars based in United States, Bulgaria and China. Frequent co-authors include Hong Wu, Caroline Gregorian, Michael V. Sofroniew, Rachel Kim, John J. Ohab, Matthias Groszer, Harley I. Kornblum, A. Denise R. Garcia, Janel Le Belle and Xin Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Journal of Clinical Oncology, Neuro-Oncology and BMC Cancer.
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.