Hayley MacGregor

60 papers receiving 1.3k citations

Peers

Hayley MacGregor
Comparison fields: 5 of 139
  • Applied Microbiology and Biotechnology 108
  • Modeling and Simulation 97
  • Infectious Diseases 301
  • Health 100
  • Agronomy and Crop Science 95
Replace Annie Wilkinson with:
Annie Wilkinson United Kingdom
David Musoke Uganda
Pranab Chatterjee India
Marco Liverani United Kingdom
Joseph Okeibunor Republic of the Congo
Isabel Oliver United Kingdom
Chris Degeling Australia
Michael J. Selgelid Australia
Stefan Elbe United Kingdom
Nadav Davidovitch Israel
Hayley MacGregor relative to Annie Wilkinson United Kingdom Annie Wilkinson's profile →
Citations per field
00.5×1.5×
Annie Wilkinson · 1×
Citations per year

Countries citing papers authored by Hayley MacGregor

Since Specialization
Citations

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

Fields of papers citing papers by Hayley MacGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020279
2 2012147
3 201893
4 200861
5 202258
6
On the Edge of Sustainability: Perspectives on Peri-urban Dynamics
200954
7 201450
8 201049
9 201636
10 201833
11 202132
12 201730
13 202030
14 202030
15 202026
16 200526
17 202022
18 200221
19 201119
20 202018

About Hayley MacGregor

Hayley MacGregor is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, General Health Professions, Economics and Econometrics and Sociology and Political Science, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (12 papers), Zoonotic diseases and public health (9 papers), COVID-19 epidemiological studies (8 papers), Global Public Health Policies and Epidemiology (6 papers), Global Maternal and Child Health (5 papers), Animal Disease Management and Epidemiology (5 papers), HIV/AIDS Impact and Responses (5 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (108 citations), Modeling and Simulation (97 citations), Infectious Diseases (301 citations), Health (100 citations) and Agronomy and Crop Science (95 citations). Hayley MacGregor has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Annie Wilkinson, Melissa Leach, Ian Scoones, Ayako Ebata, Linda Waldman, Jamie Cross, Gerald Bloom, Grace Akello, Melissa Parker and Leslie Swartz. Their work appears in journals such as Social Science & Medicine, Medical Anthropology, BMJ Global Health, Journal of Biosocial Science and Preventive Veterinary Medicine.

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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