Betty Brownell
- Neurology top 1%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- John T. HughesD. R. OppenheimerJ. T. HughesThomas A. WaltzJeremy A. GarsonJ. T. KemsheadE. I. HarperR L Hewer
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Glioma Diagnosis and Treatment (5 papers)Radiopharmaceutical Chemistry and Applications (3 papers)
- Journals
- The LancetBrainNeurology
- Partner nations
- United KingdomSouth Africa
In The Last Decade
Betty Brownell
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 817
- Pathology and Forensic Medicine 542
- Molecular Biology 452
- Genetics 313
- Cellular and Molecular Neuroscience 312
Countries citing papers authored by Betty Brownell
This map shows the geographic impact of Betty Brownell'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 Betty Brownell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Betty Brownell more than expected).
Fields of papers citing papers by Betty Brownell
This network shows the impact of papers produced by Betty Brownell. 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 Betty Brownell. The network helps show where Betty Brownell may publish in the future.
Co-authorship network of co-authors of Betty Brownell
This figure shows the co-authorship network connecting the top 25 collaborators of Betty Brownell. A scholar is included among the top collaborators of Betty Brownell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Betty Brownell. Betty Brownell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | THE DIAGNOSTIC ROLE OF MONOCLONAL-ANTIBODIES IN BRAIN-TUMOR BIOPSY AND CSF CYTOLOGY - A REVIEW OF 180 CASES | 1 |
| 3 | MONOCLONAL-ANTIBODIES IN DIAGNOSTIC NEUROPATHOLOGY | 2 |
| 4 | 9 | |
| 5 | The use of monoclonal antibodies in the immunohistological diagnosis of cerebral and spinal tumours. | 6 |
| 6 | THE CLASSIFICATION OF BRAIN LYMPHOMA USING MONOCLONAL-ANTIBODIES | 1 |
| 7 | MONOCLONAL-ANTIBODIES TO UNCULTURED HUMAN ASTROCYTOMAS | 3 |
| 8 | 37 | |
| 9 | 18 | |
| 10 | 38 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 15 | |
| 16 | 114 | |
| 17 | 38 | |
| 18 | Necropsy observations on the spinal cord in cervical spondylosis. | 24 |
| 19 | 51 | |
| 20 | 73 |
About Betty Brownell
Betty Brownell is a scholar working on Neurology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glioma Diagnosis and Treatment (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Neurology (817 citations), Pathology and Forensic Medicine (542 citations) and Genetics (313 citations). Betty Brownell has collaborated with scholars based in United Kingdom and South Africa. Frequent co-authors include John T. Hughes, D. R. Oppenheimer, J. T. Hughes, Thomas A. Waltz, Jeremy A. Garson, J. T. Kemshead, E. I. Harper, R L Hewer, Patricia Allan and Hugh B. Coakham. Their work appears in journals such as The Lancet, Brain and Neurology.
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.