David A. Brown
- Molecular Biology top 1%
- Rheumatology top 0.05%
- Physiology top 0.2%
- Immunology top 0.5%
- Oncology top 1%
- Co-authors
- Samuel N. BreitAsne R. BauskinVicky Wang-Wei TsaiRussell L. MooreSaame Raza ShaikhBrian O’RourkeW.K. GlassYasmin Husaini
- Topics
- GDF15 and Related Biomarkers (61 papers)Macrophage Migration Inhibitory Factor (52 papers)Nutrition and Health in Aging (39 papers)
- Cited by
- RheumatologyPhysiologyImmunology
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David A. Brown
351 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 5.0k
- Rheumatology 4.3k
- Physiology 4.0k
- Immunology 3.2k
- Oncology 1.8k
Countries citing papers authored by David A. Brown
This map shows the geographic impact of David 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 David 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 David A. Brown more than expected).
Fields of papers citing papers by David A. Brown
This network shows the impact of papers produced by David 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 David A. Brown. The network helps show where David A. Brown may publish in the future.
Co-authorship network of co-authors of David A. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Brown. A scholar is included among the top collaborators of David A. 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 David A. Brown. David A. 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 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 75 | |
| 8 | Abstract 10740: Bendavia, a Mitochondria-targeting Peptide, Reduces Reperfusion Injury and Reactive Oxygen Species Levels Through a Mechanism Independent of Direct Oxygen Radical Scavenging: A Multicenter Study | 1 |
| 9 | 97 | |
| 10 | 3 | |
| 11 | 55 | |
| 12 | 86 | |
| 13 | 2 | |
| 14 | 139 | |
| 15 | 204 | |
| 16 | 25 | |
| 17 | Design Waves and Wave Spectra for Engineering Applications | 4 |
| 18 | Biochemical, biophysical and serological properties of two singly enveloped nuclear polyhedrosis viruses from Heliothis armigera and Heliothis zea. | 17 |
| 19 | 39 | |
| 20 | 4 |
About David A. Brown
David A. Brown is a scholar working on Rheumatology, Immunology and Pathology and Forensic Medicine, having authored 363 papers that have together received 14.7k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (61 papers), Macrophage Migration Inhibitory Factor (52 papers) and Nutrition and Health in Aging (39 papers). The work is most often cited by research in Rheumatology (4.3k citations), Physiology (4.0k citations) and Immunology (3.2k citations). David A. Brown has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Samuel N. Breit, Asne R. Bauskin, Vicky Wang-Wei Tsai, Russell L. Moore, Saame Raza Shaikh, Brian O’Rourke, W.K. Glass, Yasmin Husaini, Tao Liu and Paul E. Sawchenko. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.