Stephen Brown
Impact in
- Rheumatology top 5%
- GDF15 and Related Biomarkers
-
- Macrophage Migration Inhibitory Factor
- Reproductive System and Pregnancy
Papers in
-
- Developmental Biology and Gene Regulation 2
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Mitochondrial Function and Pathology 1
- Bone Metabolism and Diseases 1
- TGF-β signaling in diseases 1
- Oncology 1
- Peptidase Inhibition and Analysis 1
- Co-authors
- Maria de Fátima Bonaldo (1 shared paper)Ling Qiu (1 shared paper)Pierre C. Jelenc (1 shared paper)Lee N. Lawton (1 shared paper)Marcelo B. Soares (1 shared paper)James A. Knowles (1 shared paper)Dorothy Warburton (1 shared paper)Wendy L. Morris (1 shared paper)
- Journals
- Gene (2 papers)Frontiers in Neuroanatomy (1 paper)Fetal Diagnosis and Therapy (1 paper)Prenatal Diagnosis (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesCanadaLebanon
In The Last Decade
Stephen Brown
8 papers receiving 246 citations
Peers
Comparison fields: 5 of 43
- Rheumatology 162
- Immunology 88
- Physiology 69
- Cellular and Molecular Neuroscience 39
- Molecular Biology 75
Countries citing papers authored by Stephen Brown
This map shows the geographic impact of Stephen 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 Stephen Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Brown more than expected).
Fields of papers citing papers by Stephen Brown
This network shows the impact of papers produced by Stephen 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 Stephen Brown. The network helps show where Stephen Brown may publish in the future.
Co-authors
The 24 scholars most cited alongside Stephen 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
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 182 | |
| 2 | 1998 | 20 | |
| 3 | 2014 | 15 | |
| 4 | 2009 | 13 | |
| 5 | 2009 | 7 | |
| 6 | 2017 | 6 | |
| 7 | 2003 | 4 | |
| 8 | 2017 | 2 |
About Stephen Brown
Stephen Brown is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Sensory Systems and Cell Biology, having authored 8 papers that have together received 249 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (2 papers), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Bone Metabolism and Diseases (1 paper), Peptidase Inhibition and Analysis (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Rheumatology (162 citations), Immunology (88 citations), Physiology (69 citations), Cellular and Molecular Neuroscience (39 citations) and Molecular Biology (75 citations). Stephen Brown has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Maria de Fátima Bonaldo, Ling Qiu, Pierre C. Jelenc, Lee N. Lawton, Marcelo B. Soares, James A. Knowles, Dorothy Warburton, Wendy L. Morris, Kirsten M. Timms and Richard A. Gibbs. Their work appears in journals such as Gene, Frontiers in Neuroanatomy, Fetal Diagnosis and Therapy, Prenatal Diagnosis and Journal of Visualized Experiments.
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.