Erwin M. Brown

28 papers receiving 2.2k citations

Erwin M. Brown's Hit Papers

Interventions to improve antibiotic prescribing practices for hospital inpatients 2017 · 846 citations
8460+3+6Years since publication250500750

Peers

Erwin M. Brown
Comparison fields: 5 of 119
  • Applied Microbiology and Biotechnology 981
  • Molecular Medicine 257
  • Critical Care and Intensive Care Medicine 184
  • Clinical Biochemistry 247
  • Infectious Diseases 426
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Citations per year

Countries citing papers authored by Erwin M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Erwin M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erwin M. 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 Erwin M. Brown Line = papers co-authored together Erwin M. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interventions to improve antibiotic prescribing practices for hospital inpatients
Hit paper breakdown →
2017846
2 2007260
3 2004159
4 2003129
5 2021125
6 2007115
7 2006110
8 200695
9 200484
10 200268
11 201766
12 200250
13 199338
14 200233
15 202132
16 199325
17 198823
18 199717
19 200610
20 20029

About Erwin M. Brown

Erwin M. Brown is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Critical Care and Intensive Care Medicine, Microbiology and General Health Professions, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (8 papers), Nosocomial Infections in ICU (6 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial Infections and Vaccines (5 papers), Infectious Diseases and Tuberculosis (4 papers), Infection Control in Healthcare (3 papers) and Head and Neck Surgical Oncology (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (981 citations), Molecular Medicine (257 citations), Critical Care and Intensive Care Medicine (184 citations), Clinical Biochemistry (247 citations) and Infectious Diseases (426 citations). Erwin M. Brown has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Peter G Davey, Craig Robert Ramsay, Ian Malcolm Gould, Susan G. Michie, Charis Marwick, Esmita Charani, Claire Scott, Dilip Nathwani, Ian Kenneth Pople and Phil J. Wiffen. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Emerging infectious diseases, Cochrane Database of Systematic Reviews, Neurosurgery and Journal of Hospital Infection.

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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