An De Sutter

97 papers receiving 1.7k citations

Peers

An De Sutter
Comparison fields: 5 of 133
  • Applied Microbiology and Biotechnology 171
  • Otorhinolaryngology 116
  • Geriatrics and Gerontology 60
  • Family Practice 27
  • Epidemiology 342
Replace Warren J. McIsaac with:
Warren J. McIsaac Canada
Claudia Pileggi Italy
Tara K. Knight United States
Jóhann A. Sigurdsson Iceland
Julia E. Szymczak United States
Judith H. Maselli United States
A L Kinmonth United Kingdom
William J. Hueston United States
Irina Miroshnik United States
Elizabeth A. Rechtsteiner United States
An De Sutter relative to Warren J. McIsaac Canada Warren J. McIsaac's profile →
Citations per field
00.5×3.8×
Warren J. McIsaac · 1×
Citations per year

Countries citing papers authored by An De Sutter

Since Specialization
Citations

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

Fields of papers citing papers by An De Sutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An De Sutter. 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 An De Sutter. The network helps show where An De Sutter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008143
2 2007117
3 2006100
4 200882
5 200975
6 201767
7 201465
8 202062
9
Primary health care as a strategy for achieving equitable care: a literature review commissioned by the Health Systems Knowledge Network
200752
10 200847
11 201641
12 201637
13 200937
14 202231
15 201429
16 201228
17 201528
18 201028
19 201827
20 201827

About An De Sutter

An De Sutter is a scholar working on General Health Professions, Epidemiology, Infectious Diseases, Otorhinolaryngology and Public Health, Environmental and Occupational Health, having authored 100 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Chronic Disease Management Strategies (7 papers), Sinusitis and nasal conditions (7 papers), Antibiotic Use and Resistance (7 papers), Primary Care and Health Outcomes (5 papers), Respiratory and Cough-Related Research (5 papers), Patient-Provider Communication in Healthcare (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (171 citations), Otorhinolaryngology (116 citations), Geriatrics and Gerontology (60 citations), Family Practice (27 citations) and Epidemiology (342 citations). An De Sutter has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Jan De Maeseneer, Mieke van Driel, Pauline Boeckxstaens, Sara Willems, Thierry Christiaens, Jan Y. Verbakel, Stefan Heytens, Marc De Meyere, Thierry Christiaens and Bert Aertgeerts. Their work appears in journals such as BMJ Open, European Journal of General Practice, The Annals of Family Medicine, BMC Family Practice and BMC Pediatrics.

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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