R.A. Brown
Impact in
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- Rheology and Fluid Dynamics Studies
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
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- Receptor Mechanisms and Signaling 3
- Co-authors
- Michael J. Rennie (1 shared paper)P A MacLennan (1 shared paper)R. C. Armstrong (3 shared papers)Jeffrey J. Derby (2 shared papers)Lidia M. Quinzani (2 shared papers)J. Swanson Beck (17 shared papers)Gareth H. McKinley (1 shared paper)R C Potts (18 shared papers)
- Journals
- Analytical Chemistry (8 papers)British Journal of Clinical Pharmacology (4 papers)Blood (4 papers)Journal of Clinical Pathology (3 papers)Bone Marrow Transplantation (3 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
R.A. Brown
104 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 162
- Fluid Flow and Transfer Processes 276
- Hematology 348
- Computational Mechanics 308
- Cell Biology 219
- Genetics 128
Countries citing papers authored by R.A. Brown
This map shows the geographic impact of R.A. 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 R.A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.A. Brown more than expected).
Fields of papers citing papers by R.A. Brown
This network shows the impact of papers produced by R.A. 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 R.A. Brown. The network helps show where R.A. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside R.A. Brown, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 246 | |
| 2 | 1990 | 158 | |
| 3 | 1985 | 157 | |
| 4 | 1987 | 134 | |
| 5 | 2000 | 121 | |
| 6 | 1987 | 92 | |
| 7 | 1982 | 86 | |
| 8 | 1985 | 85 | |
| 9 | 1991 | 80 | |
| 10 | 2000 | 78 | |
| 11 | 1995 | 78 | |
| 12 | 1995 | 71 | |
| 13 | 1987 | 70 | |
| 14 | 1991 | 69 | |
| 15 | 2008 | 67 | |
| 16 | 1999 | 64 | |
| 17 | 1989 | 63 | |
| 18 | 1993 | 59 | |
| 19 | 1995 | 55 | |
| 20 | 1988 | 48 |
About R.A. Brown
R.A. Brown is a scholar working on Molecular Biology, Biomedical Engineering, Immunology, Oncology and Spectroscopy, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Mycobacterium research and diagnosis (4 papers), Solidification and crystal growth phenomena (4 papers), Acute Myeloid Leukemia Research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Petroleum Processing and Analysis (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (276 citations), Hematology (348 citations), Computational Mechanics (308 citations), Cell Biology (219 citations) and Genetics (128 citations). R.A. Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael J. Rennie, P A MacLennan, R. C. Armstrong, Jeffrey J. Derby, Lidia M. Quinzani, J. Swanson Beck, Gareth H. McKinley, R C Potts, G. W. Smith and Robert G. Humphries. Their work appears in journals such as Analytical Chemistry, British Journal of Clinical Pharmacology, Blood, Journal of Clinical Pathology and Bone Marrow Transplantation.
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.