Marnie Downes

17 papers receiving 197 citations

Peers

Marnie Downes
Comparison fields: 5 of 54
  • Health 38
  • Applied Microbiology and Biotechnology 9
  • Statistics and Probability 21
  • Modeling and Simulation 11
  • Infectious Diseases 21
Replace Cara Ebert with:
Cara Ebert Germany
Alden Blair United States
Jessica Hinman United States
Athena R. Kolbe United States
James R. Chromy United States
Anne Guichard Canada
Helena Yeboah Canada
Tinashe Goronga United States
Naheed Ahmed United States
Himani Bhakuni Netherlands
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Citations per year

Countries citing papers authored by Marnie Downes

Since Specialization
Citations

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

Fields of papers citing papers by Marnie Downes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201627
3 202226
4 202119
5 201912
6 202311
7 202010
8 201910
9 20229
10 20238
11 20216
12
Seroprevalence of SARS-CoV-2-specific antibodies in Sydney, Australia following the first epidemic wave in 2020
20205
13 20243
14 20242
15 20222
16 20241
17 20231
18 20250
19 20240
20 20200

About Marnie Downes

Marnie Downes is a scholar working on Health, Sociology and Political Science, Health, Toxicology and Mutagenesis, Statistics and Probability and Infectious Diseases, having authored 21 papers that have together received 199 indexed citations. Recurring topics across this work include Health disparities and outcomes (5 papers), Advanced Causal Inference Techniques (3 papers), Health, Environment, Cognitive Aging (3 papers), Survey Methodology and Nonresponse (3 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Birth, Development, and Health (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Health (38 citations), Applied Microbiology and Biotechnology (9 citations), Statistics and Probability (21 citations), Modeling and Simulation (11 citations) and Infectious Diseases (21 citations). Marnie Downes has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include John B. Carlin, Lyle C. Gurrin, Dallas R. English, Jane Pirkis, Matthew J. Spittal, Dianne Currier, Margarita Moreno‐Betancur, Meredith O’Connor, Sharon Goldfeld and David Burgner. Their work appears in journals such as American Journal of Epidemiology, The Medical Journal of Australia, The Lancet Global Health, Molecular Imaging and Biology and Brain Behavior & Immunity - Health.

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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