Natalie Davidson

13 papers receiving 113 citations

Peers

Natalie Davidson
Comparison fields: 5 of 66
  • Microbiology 21
  • Small Animals 19
  • Experimental and Cognitive Psychology 28
  • Endocrinology 10
  • Clinical Biochemistry 10
Replace Claire Triffault-Fillit with:
Claire Triffault-Fillit France
Theresa Benedict United States
Ada Luz Andreu Spain
Yaling Dai China
M. Catroux France
José Luis Díaz de Tuesta del Arco Spain
Sarah Fletcher United Kingdom
Heather Davis United Kingdom
J. D. LILLEY United Kingdom
Jon Larruskain Spain
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Citations per field
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Citations per year

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-authors

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

All Works

15 of 15 papers shown
#Work
1
Demystification of cognitive insight: Opportunistic assimilation and the prepared-mind hypothesis
199444
2 202023
3 202311
4 201511
5 20216
6 20195
7 20195
8 20234
9 20184
10 20203
11 20232
12 20192
13
Aspergillus is now the dominant organism isolated from bronchoalveolar lavage in children with CF Children in north east England
20101
14 20230
15 20200

About Natalie Davidson

Natalie Davidson is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Small Animals and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 121 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Streptococcal Infections and Treatments (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Infectious Diseases and Mycology (2 papers), Trauma and Emergency Care Studies (1 paper), Prenatal Substance Exposure Effects (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Microbiology (21 citations), Small Animals (19 citations), Experimental and Cognitive Psychology (28 citations), Endocrinology (10 citations) and Clinical Biochemistry (10 citations). Natalie Davidson has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Andrea L. Patalano, Ilan Yaniv, Colleen M. Seifert, David E. Meyer, Rob Baird, Nicholas M. Anstey, Matthew J. Grigg, Sarah L. McGuinness, Leonie Callaway and Karin Lust. Their work appears in journals such as Clinical Infectious Diseases, Infectious Diseases, BMC Infectious Diseases, Drug and Alcohol Dependence and The Medical Journal of Australia.

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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