Emily MacDonald

859 citations
29 papers · 500 indexed · h-index 12
Topics
COVID-19 epidemiological studies (6 papers)Salmonella and Campylobacter epidemiology (6 papers)Vibrio bacteria research studies (5 papers)

In The Last Decade

Emily MacDonald

28 papers receiving 484 citations

Peers

Emily MacDonald
Comparison fields: 5 of 99
  • Infectious Diseases 193
  • Food Science 108
  • Endocrinology 90
  • Health, Toxicology and Mutagenesis 81
  • Public Health, Environmental and Occupational Health 69
Replace Charmaine Gauci with:
Charmaine Gauci Malta
Ethel V. Taylor United States
Virginia Hope New Zealand
Susanne Herbst Germany
Josh M. Colston United States
Cristina Furtado Portugal
James Flint Australia
Nuhu Amin Bangladesh
John Holt Canada
Colin N. Ramsay United Kingdom
Emily MacDonald relative to Charmaine Gauci Malta Charmaine Gauci's profile →
Citations per field
00.5×4.8×
Charmaine Gauci · 1×
Citations per year

Countries citing papers authored by Emily MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Emily MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Emily MacDonald. A scholar is included among the top collaborators of Emily MacDonald 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 Emily MacDonald. Emily MacDonald 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
#WorkIndexed citations
1 4
2 0
3 5
4 35
5 67
6 38
7 6
8 10
9 15
10 16
11 5
12 1
13 3
14 35
15 84
16 11
17 10
18 34
19 4
20 30

About Emily MacDonald

Emily MacDonald is a scholar working on Endocrinology, Modeling and Simulation and Infectious Diseases, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Salmonella and Campylobacter epidemiology (6 papers) and Vibrio bacteria research studies (5 papers). The work is most often cited by research in Endocrinology (90 citations), Modeling and Simulation (67 citations) and Infectious Diseases (193 citations). Emily MacDonald has collaborated with scholars based in Norway, Sweden and United Kingdom. Frequent co-authors include Karin Nygård, Line Vold, Birgitte Freiesleben de Blasio, Bernardo Guzmán-Herrador, Jan C. Semenza, Bertrand Súdre, Gordon Nichols, Dilip R. Patel, Siri Laura Feruglio and Heidi Lange. Their work appears in journals such as Nature Communications, PLoS ONE and Emerging 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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