Peter Maes

31 papers receiving 601 citations

Peers

Peter Maes
Comparison fields: 5 of 90
  • Endocrinology 136
  • Modeling and Simulation 45
  • Public Health, Environmental and Occupational Health 221
  • Nutrition and Dietetics 104
  • Infectious Diseases 67
Replace Godfrey Bwire with:
Godfrey Bwire Uganda
Atek Kagirita Uganda
Wibke Loag Germany
John Kimario Spain
Emily MacDonald Norway
Daniel Langat Kenya
Martin Mengel France
Michelo Simuyandi Zambia
Amanda K. Debes United States
Lata Kumar India
Peter Maes relative to Godfrey Bwire Uganda Godfrey Bwire's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Maes

Since Specialization
Citations

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

Fields of papers citing papers by Peter Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200765
2 202062
3 200861
4 200744
5 201036
6 201434
7 201931
8 201229
9 202326
10 201024
11 201523
12 201620
13 202119
14 202018
15 201718
16 201818
17 202215
18 202415
19 201814
20 201414

About Peter Maes

Peter Maes is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Nutrition and Dietetics, Infectious Diseases and Immunology, having authored 37 papers that have together received 641 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (9 papers), Malaria Research and Control (6 papers), Child Nutrition and Water Access (5 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Viral Infections and Outbreaks Research (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Mosquito-borne diseases and control (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Endocrinology (136 citations), Modeling and Simulation (45 citations), Public Health, Environmental and Occupational Health (221 citations), Nutrition and Dietetics (104 citations) and Infectious Diseases (67 citations). Peter Maes has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Rafaël Van den Bergh, Michel Van Herp, Wim Van Bortel, Dismas Baza, Natacha Protopopoff, Umberto D’Alessandro, Marc Coosemans, Tanguy Marcotty, Lauren D’Mello-Guyett and Oliver Cumming. Their work appears in journals such as PLoS ONE, Journal of the American Academy of Dermatology, Conflict and Health, Malaria Journal and PLoS neglected tropical 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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