Rachel Brown
- Neurology top 2%
- Pathology and Forensic Medicine top 5%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Jack P. WhisnantJoRean D. SicksGeorge W. PettyW. Michael O’FallonDavid O. WiebersJoanna KitleyLiene ElsoneBenjamin McNeillis
- Topics
- Peripheral Neuropathies and Disorders (4 papers)Multiple Sclerosis Research Studies (2 papers)Hereditary Neurological Disorders (2 papers)
- Journals
- BrainNeurologyJournal of Neurology
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Rachel Brown
8 papers receiving 842 citations
Peers
Comparison fields: 5 of 67
- Neurology 460
- Pathology and Forensic Medicine 407
- Epidemiology 266
- Pulmonary and Respiratory Medicine 181
- Cardiology and Cardiovascular Medicine 156
Countries citing papers authored by Rachel Brown
This map shows the geographic impact of Rachel Brown'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 Rachel Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Brown more than expected).
Fields of papers citing papers by Rachel Brown
This network shows the impact of papers produced by Rachel Brown. 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 Rachel Brown. The network helps show where Rachel Brown may publish in the future.
Co-authorship network of co-authors of Rachel Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Brown. A scholar is included among the top collaborators of Rachel Brown 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 Rachel Brown. Rachel Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 87 | |
| 3 | 301 | |
| 4 | 64 | |
| 5 | 0 | |
| 6 | Cutaneous vasculitis - a case for laparotomy? | 2 |
| 7 | Neurologic complications after placement of cerebrospinal fluid drainage catheters and needles in anesthetized patients: implications for regional anesthesia. Mayo Perioperative Outcomes Group. | 30 |
| 8 | 328 | |
| 9 | A methodology for measuring clinical outcomes in an acute care teaching hospital. | 13 |
About Rachel Brown
Rachel Brown is a scholar working on Neurology, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 9 papers that have together received 868 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (4 papers), Multiple Sclerosis Research Studies (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Neurology (460 citations), Pathology and Forensic Medicine (407 citations) and Rehabilitation (59 citations). Rachel Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jack P. Whisnant, JoRean D. Sicks, George W. Petty, W. Michael O’Fallon, David O. Wiebers, Joanna Kitley, Liene Elsone, Benjamin McNeillis, Lionel Ginsberg and Angela Vincent. Their work appears in journals such as Brain, Neurology and Journal of 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.