Jennifer Cotter
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 17
- Glioma Diagnosis and Treatment 17
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- Chromatin Remodeling and Cancer 5
- Co-authors
- Eric J. Huang (3 shared papers)Cynthia Hawkins (2 shared papers)Kadellyn Sandoval (1 shared paper)D. J. James (1 shared paper)David H. Rowitch (1 shared paper)Mercedes F. Paredes (1 shared paper)José Manuel García‐Verdugo (1 shared paper)Duan Xu (1 shared paper)
- Journals
- Pediatric and Developmental Pathology (4 papers)Neuro-Oncology Advances (4 papers)Brain Pathology (2 papers)npj Precision Oncology (2 papers)Journal of Neuroimmunology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jennifer Cotter
39 papers receiving 803 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 121
- Genetics 169
- Neurology 134
- Cancer Research 81
- Neurology 38
Countries citing papers authored by Jennifer Cotter
This map shows the geographic impact of Jennifer Cotter'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 Jennifer Cotter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Cotter more than expected).
Fields of papers citing papers by Jennifer Cotter
This network shows the impact of papers produced by Jennifer Cotter. 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 Jennifer Cotter. The network helps show where Jennifer Cotter may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Cotter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 243 | |
| 2 | 2019 | 57 | |
| 3 | 2014 | 52 | |
| 4 | 2022 | 47 | |
| 5 | 2019 | 43 | |
| 6 | 2023 | 36 | |
| 7 | 2013 | 36 | |
| 8 | 2019 | 34 | |
| 9 | 2014 | 29 | |
| 10 | 2014 | 29 | |
| 11 | 2023 | 23 | |
| 12 | 2015 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2020 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2014 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2014 | 9 |
About Jennifer Cotter
Jennifer Cotter is a scholar working on Genetics, Molecular Biology, Neurology, Epidemiology and Pathology and Forensic Medicine, having authored 44 papers that have together received 815 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Meningioma and schwannoma management (7 papers), Neuroblastoma Research and Treatments (6 papers), Chromatin Remodeling and Cancer (5 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Cancer Mechanisms and Therapy (3 papers), Epilepsy research and treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Developmental Neuroscience (121 citations), Genetics (169 citations), Neurology (134 citations), Cancer Research (81 citations) and Neurology (38 citations). Jennifer Cotter has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric J. Huang, Cynthia Hawkins, Kadellyn Sandoval, D. J. James, David H. Rowitch, Mercedes F. Paredes, José Manuel García‐Verdugo, Duan Xu, Hosung Kim and Sara Gil‐Perotín. Their work appears in journals such as Pediatric and Developmental Pathology, Neuro-Oncology Advances, Brain Pathology, npj Precision Oncology and Journal of Neuroimmunology.
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.