Michael R. Brown

12.4k citations
148 papers · 6.2k indexed · h-index 40

Impact in

  • Endocrinology top 0.2%
    • Legionella and Acanthamoeba research
    • Vibrio bacteria research studies
    • Antibiotic Resistance in Bacteria

Papers in

Michael R. Brown

144 papers receiving 5.7k citations

Peers

Michael R. Brown
Comparison fields: 5 of 170
  • Endocrinology 1.3k
  • Molecular Medicine 877
  • Microbiology 441
  • Periodontics 324
  • Molecular Biology 3.2k
Replace P. Gilbert with:
P. Gilbert United Kingdom
Jens Bo Andersen Denmark
K.-J. Cheng Canada
Howard Ceri Canada
Urs A. Ochsner United States
Albert Balows United States
Michael J. Franklin United States
D.J. Stickler United Kingdom
Jeremy S. Webb United Kingdom
Karl Steel United Kingdom
Michael R. Brown relative to P. Gilbert United Kingdom P. Gilbert's profile →
Citations per field
00.5×1.5×
P. Gilbert · 1×
Citations per year

Countries citing papers authored by Michael R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael R. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael R. Brown Line = papers co-authored together Michael R. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 202215
4 20226
5 20213
6 20219
7 200638
8 200559
9 1999182
10 1997130
11 199627
12 19948
13 199268
14 199063
15 199072
16 19907
17 198822
18 198817
19 198435
20 198451

About Michael R. Brown

Michael R. Brown is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Microbiology and Molecular Biology, having authored 148 papers that have together received 6.2k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (53 papers), Antibiotic Resistance in Bacteria (32 papers), Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (12 papers), Antimicrobial agents and applications (12 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and Legionella and Acanthamoeba research (7 papers). The work is most often cited by research in Endocrinology (1.3k citations), Molecular Medicine (877 citations), Microbiology (441 citations), Periodontics (324 citations) and Molecular Biology (3.2k citations). Michael R. Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include P. Gilbert, John Barker, David Allison, Arthur Kornberg, P.J. Collier, Peter Gilbert, David J. Evans, Peter A. Lambert, Elizabeth Evans and R M E Richards. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Antimicrobial Chemotherapy, Microbiology, Antimicrobial Agents and Chemotherapy and Journal of Medical Microbiology.

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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