Ellen Caparosa
Impact in
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
- Oncology 6
- CAR-T cell therapy research 3
- Cancer Cells and Metastasis 2
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- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 2
- Hereditary Neurological Disorders 1
- Co-authors
- Robert M. Friedlander (3 shared papers)Xinyan Tracy Cui (2 shared papers)Lance Bodily (2 shared papers)Takashi D.Y. Kozai (2 shared papers)David E. Bush (1 shared paper)Joseph E. LeDoux (1 shared paper)Diane L. Carlisle (2 shared papers)Georgios A. Zenonos (2 shared papers)
- Journals
- Journal of neurosurgery (2 papers)Biomaterials (1 paper)Cancer Biology & Therapy (1 paper)Biomarkers in Medicine (1 paper)Regenerative Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Ellen Caparosa
13 papers receiving 462 citations
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 274
- Cognitive Neuroscience 203
- Behavioral Neuroscience 32
- Neurology 43
- Polymers and Plastics 55
Countries citing papers authored by Ellen Caparosa
This map shows the geographic impact of Ellen Caparosa'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 Ellen Caparosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Caparosa more than expected).
Fields of papers citing papers by Ellen Caparosa
This network shows the impact of papers produced by Ellen Caparosa. 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 Ellen Caparosa. The network helps show where Ellen Caparosa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Caparosa, 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 | 2014 | 115 | |
| 2 | 2014 | 108 | |
| 3 | 2010 | 94 | |
| 4 | 2015 | 44 | |
| 5 | 2020 | 27 | |
| 6 | 2018 | 18 | |
| 7 | 2018 | 14 | |
| 8 | 2014 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 3 |
About Ellen Caparosa
Ellen Caparosa is a scholar working on Oncology, Cellular and Molecular Neuroscience, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 468 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Neuroscience and Neural Engineering (2 papers), Cancer Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers), Brain Metastases and Treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural dynamics and brain function (2 papers) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (274 citations), Cognitive Neuroscience (203 citations), Behavioral Neuroscience (32 citations), Neurology (43 citations) and Polymers and Plastics (55 citations). Ellen Caparosa has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert M. Friedlander, Xinyan Tracy Cui, Lance Bodily, Takashi D.Y. Kozai, David E. Bush, Joseph E. LeDoux, Diane L. Carlisle, Georgios A. Zenonos, Xia Li and Steven M. Chase. Their work appears in journals such as Journal of neurosurgery, Biomaterials, Cancer Biology & Therapy, Biomarkers in Medicine and Regenerative Medicine.
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.