Rachel M. Brown
- Epidemiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Hepatology top 1%
- Molecular Biology
- Co-authors
- Matthew J. ArmstrongStefan G. HübscherPhilip N. NewsomeJeremy TomlinsonStephen GoughDarren BartonJonathan HazlehurstRichard Parker
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Liver Disease and Transplantation (8 papers)Pancreatic and Hepatic Oncology Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Rachel M. Brown
69 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Epidemiology 1.7k
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 721
- Hepatology 599
- Molecular Biology 444
Countries citing papers authored by Rachel M. Brown
This map shows the geographic impact of Rachel M. 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 M. 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 M. Brown more than expected).
Fields of papers citing papers by Rachel M. Brown
This network shows the impact of papers produced by Rachel M. 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 M. Brown. The network helps show where Rachel M. Brown may publish in the future.
Co-authorship network of co-authors of Rachel M. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel M. Brown. A scholar is included among the top collaborators of Rachel M. 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 M. Brown. Rachel M. 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 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 41 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 59 | |
| 12 | 1 | |
| 13 | 39 | |
| 14 | 22 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 80 | |
| 20 | 3 |
About Rachel M. Brown
Rachel M. Brown is a scholar working on Hepatology, Transplantation and Issues, ethics and legal aspects, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (8 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Hepatology (599 citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Epidemiology (1.7k citations). Rachel M. Brown has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Matthew J. Armstrong, Stefan G. Hübscher, Philip N. Newsome, Jeremy Tomlinson, Stephen Gough, Darren Barton, Jonathan Hazlehurst, Richard Parker, Piers Gaunt and Diana Hull. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
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.