M. J. Brown

800 citations
3 papers · 24 indexed · h-index 3
Topics
Rheumatoid Arthritis Research and Therapies (1 paper)Viral Infections and Immunology Research (1 paper)Nutrition, Genetics, and Disease (1 paper)
Journals
HypertensionClinical and Experimental Pharmacology and PhysiologyQueensland's institutional digital repository (The University of Queensland)

In The Last Decade

M. J. Brown

3 papers receiving 22 citations

Peers

M. J. Brown
Comparison fields: 5 of 19
  • Rheumatology 11
  • Cardiology and Cardiovascular Medicine 9
  • Immunology 6
  • Genetics 4
  • Molecular Biology 3
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Jia Feng China
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Citations per field
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Citations per year

Countries citing papers authored by M. J. Brown

Since Specialization
Citations

This map shows the geographic impact of M. J. 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 M. J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Brown more than expected).

Fields of papers citing papers by M. J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. 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 M. J. Brown. The network helps show where M. J. Brown may publish in the future.

Co-authorship network of co-authors of M. J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Brown. A scholar is included among the top collaborators of M. J. 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 M. J. Brown. M. J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Chromosome 2p shows genome wide significant linkage to of anti-hypertensive medication response in the British genetics of hypertension (BRIGHT) study.
3
2
Second Australian National Blood Pressure Study (ANBP2) - Comparative outcome trial of ACE inhibitor- and diuretic-based treatment of hypertension in the elderly: Principal results
6
3
Whole-genome linkage analysis of rheumatoid arthritis susceptibility loci in 252 affected sibling pairs in the United Kingdom (vol 46,pg 632, 2002)
15

About M. J. Brown

M. J. Brown is a scholar working on Cardiology and Cardiovascular Medicine, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 3 papers that have together received 24 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (1 paper), Viral Infections and Immunology Research (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Rheumatology (11 citations), Family Practice (1 citation) and Cardiology and Cardiovascular Medicine (9 citations). Frequent co-authors include Joseph Martin Bell, Lawrence J. Beilin, A J Silman, S. White, P Wordsworth, Anne Barton, Steven H. Laval, Stephen Eyre, Sujit John and G. J. Macdonald. Their work appears in journals such as Hypertension, Clinical and Experimental Pharmacology and Physiology and Queensland's institutional digital repository (The University of Queensland).

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.

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