Nick Daneman

15.6k total citations · 6 hit papers
271 papers, 8.4k citations indexed

About

Nick Daneman is a scholar working on Applied Microbiology and Biotechnology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Nick Daneman has authored 271 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Applied Microbiology and Biotechnology, 107 papers in Epidemiology and 72 papers in Infectious Diseases. Recurrent topics in Nick Daneman's work include Antibiotic Use and Resistance (112 papers), Bacterial Identification and Susceptibility Testing (60 papers) and Patient Satisfaction in Healthcare (47 papers). Nick Daneman is often cited by papers focused on Antibiotic Use and Resistance (112 papers), Bacterial Identification and Susceptibility Testing (60 papers) and Patient Satisfaction in Healthcare (47 papers). Nick Daneman collaborates with scholars based in Canada, United States and Australia. Nick Daneman's 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 and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Nick Daneman

252 papers receiving 8.3k citations

Hit Papers

Bacterial co-infection and secondary in... 2013 2026 2017 2021 2020 2021 2013 2022 2022 250 500 750

Peers

Nick Daneman
Comparison fields: 5 of 160
  • Epidemiology 3.2k
  • Applied Microbiology and Biotechnology 3.2k
  • Infectious Diseases 2.7k
  • Critical Care and Intensive Care Medicine 1.4k
  • General Health Professions 1.3k
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Citations per field, relative to Nick Daneman
Nick Daneman · 1×
Citations per year, relative to Nick Daneman
Nick Daneman · 1×

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-authorship network of co-authors of Nick Daneman

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 1
5 0
6 4
7 3
8 3
9 1
10
Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis breakdown →
91
11 4
12 1
13 3
14 2
15 17
16 17
17 106
18 60
19 8
20 19

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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