Nick Daneman

256 papers receiving 8.5k citations

Nick Daneman's Hit Papers

Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis 2023 · 101 citations
1010+4+8Years since publication2505007501000

Peers

Nick Daneman
Comparison fields: 5 of 153
  • Applied Microbiology and Biotechnology 2.4k
  • Critical Care and Intensive Care Medicine 774
  • Molecular Medicine 613
  • Infectious Diseases 2.1k
  • Clinical Biochemistry 651
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W. Charles Huskins United States
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Citations per field
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Citations per year

Countries citing papers authored by Nick Daneman

Since Specialization
Citations

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

Fields of papers citing papers by Nick Daneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick Daneman. 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 Nick Daneman. The network helps show where Nick Daneman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 275 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis
Hit paper breakdown →
20201028
2
Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis
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2021537
3
Meta-Analysis of Antibiotics and the Risk of Community-Associated Clostridium difficile Infection
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2013424
4 2011293
5 2016207
6
Estimates of SARS-CoV-2 Omicron Variant Severity in Ontario, Canada
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2022182
7 2013164
8 2012154
9 2020147
10
Antibiotic resistance associated with the COVID-19 pandemic: a systematic review and meta-analysis
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2022146
11 2011133
12 2015124
13 2014116
14 2021115
15 2013105
16
Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis
Hit paper breakdown →
2023101
17 201695
18 201594
19 201193
20 202187

About Nick Daneman

Nick Daneman is a scholar working on Applied Microbiology and Biotechnology, Epidemiology, Infectious Diseases, Clinical Biochemistry and Surgery, having authored 275 papers that have together received 8.7k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (76 papers), Bacterial Identification and Susceptibility Testing (28 papers), Urinary Tract Infections Management (24 papers), Clostridium difficile and Clostridium perfringens research (20 papers), Antibiotic Resistance in Bacteria (11 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Nosocomial Infections in ICU (11 papers) and Antibiotics Pharmacokinetics and Efficacy (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (2.4k citations), Critical Care and Intensive Care Medicine (774 citations), Molecular Medicine (613 citations), Infectious Diseases (2.1k citations) and Clinical Biochemistry (651 citations). Nick Daneman has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Kevin A. Brown, Bradley J. Langford, Derek R. MacFadden, Valerie Leung, Miranda So, Sumit Raybardhan, Duncan Westwood, Marion Elligsen, David N. Fisman and Andrew E. Simor. Their work appears in journals such as Clinical Infectious Diseases, Clinical Microbiology and Infection, Infection Control and Hospital Epidemiology, PLoS ONE and Open Forum Infectious Diseases.

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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