Daniel J. Morgan

132 papers receiving 4.4k citations

Hit Papers

Global access to antibiotics without prescription in community pharmacies: A systematic review and meta-analysis 2018 · 264 citations
264201820262020202350100150200250

Peers

Daniel J. Morgan
Comparison fields: 5 of 162
  • Applied Microbiology and Biotechnology 795
  • Molecular Medicine 662
  • Clinical Biochemistry 461
  • Infectious Diseases 1.1k
  • Critical Care and Intensive Care Medicine 236
Replace Michael Rubin with:
Michael Rubin United States
W. Michael Scheld United States
Charles Feldman South Africa
Yves Cohen France
Stephen M. Graham Australia
Jérôme Pugin Switzerland
Céire Costelloe United Kingdom
Dafna Yahav Israel
Benoît Misset France
Stefano Bassetti Switzerland
Daniel J. Morgan relative to Michael Rubin United States Michael Rubin's profile →
Citations per field
00.5×2.9×
Michael Rubin · 1×
Citations per year

Countries citing papers authored by Daniel J. Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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7 202311
8 20234
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11 202028
12 201922
13 201816
14 201713
15 201124
16 201125
17 201128
18 201041
19 200737
20 200763

About Daniel J. Morgan

Daniel J. Morgan is a scholar working on Applied Microbiology and Biotechnology, Family Practice, Clinical Biochemistry, Infectious Diseases and Pharmacology, having authored 138 papers that have together received 4.5k indexed citations. Recurring topics across this work include Infection Control in Healthcare (22 papers), Cannabis and Cannabinoid Research (22 papers), Antibiotic Use and Resistance (19 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Pain Mechanisms and Treatments (17 papers), Bacterial Identification and Susceptibility Testing (15 papers) and Urinary Tract Infections Management (13 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (795 citations), Molecular Medicine (662 citations), Clinical Biochemistry (461 citations), Infectious Diseases (1.1k citations) and Critical Care and Intensive Care Medicine (236 citations). Daniel J. Morgan has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Eli N. Perencevich, J. Kristie Johnson, Anthony D. Harris, Ramanan Laxminarayan, Daniel J. Diekema, Kerri A. Thom, Sanket S. Dhruva, Deborah Korenstein, Kent A. Sepkowitz and Lisa Pineles. Their work appears in journals such as Infection Control and Hospital Epidemiology, Clinical Infectious Diseases, JAMA Internal Medicine, PLoS ONE and JAMA Network Open.

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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