Natalie Davidson

540 total citations
15 papers, 121 citations indexed

About

Natalie Davidson is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Natalie Davidson has authored 15 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Epidemiology. Recurrent topics in Natalie Davidson's work include Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Infectious Diseases and Mycology (2 papers). Natalie Davidson is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Infectious Diseases and Mycology (2 papers). Natalie Davidson collaborates with scholars based in Australia, Singapore and United States. Natalie Davidson's co-authors include Andrea L. Patalano, Ilan Yaniv, David E. Meyer, Colleen M. Seifert, Rob Baird, Nicholas M. Anstey, Matthew J. Grigg, Sarah L. McGuinness, Leonie Callaway and Karin Lust and has published in prestigious journals such as Clinical Infectious Diseases, Drug and Alcohol Dependence and The Medical Journal of Australia.

In The Last Decade

Natalie Davidson

13 papers receiving 113 citations

Peers

Natalie Davidson
Comparison fields: 5 of 66
  • Experimental and Cognitive Psychology 28
  • Epidemiology 26
  • Public Health, Environmental and Occupational Health 23
  • Microbiology 21
  • Small Animals 19
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Citations per field, relative to Natalie Davidson
Natalie Davidson · 1×
Citations per year, relative to Natalie Davidson
Natalie Davidson · 1×

Countries citing papers authored by Natalie Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Davidson

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 11
2 0
3 2
4 4
5 6
6 3
7 0
8 23
9 2
10 5
11 5
12 4
13 11
14
Aspergillus is now the dominant organism isolated from bronchoalveolar lavage in children with CF Children in north east England
1
15
Demystification of cognitive insight: Opportunistic assimilation and the prepared-mind hypothesis
44

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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