Grace Marie Ku
- Endocrinology, Diabetes and Metabolism top 10%
- General Health Professions top 10%
- Epidemiology
- Organizational Behavior and Human Resource Management top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Guy KegelsJosefien van OlmenWim Van DammeKatharina HermannMaurits van PeltFrançois SchellevisKristien Van AckerJeroen De Man
- Topics
- Chronic Disease Management Strategies (13 papers)Diabetes Management and Education (10 papers)Health Systems, Economic Evaluations, Quality of Life (7 papers)
- Partner nations
- BelgiumNetherlandsCambodia
In The Last Decade
Grace Marie Ku
25 papers receiving 334 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 171
- General Health Professions 156
- Epidemiology 118
- Organizational Behavior and Human Resource Management 44
- Public Health, Environmental and Occupational Health 35
Countries citing papers authored by Grace Marie Ku
This map shows the geographic impact of Grace Marie Ku'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 Grace Marie Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Marie Ku more than expected).
Fields of papers citing papers by Grace Marie Ku
This network shows the impact of papers produced by Grace Marie Ku. 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 Grace Marie Ku. The network helps show where Grace Marie Ku may publish in the future.
Co-authorship network of co-authors of Grace Marie Ku
This figure shows the co-authorship network connecting the top 25 collaborators of Grace Marie Ku. A scholar is included among the top collaborators of Grace Marie Ku 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 Grace Marie Ku. Grace Marie Ku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 38 | |
| 13 | 19 | |
| 14 | 16 | |
| 15 | 33 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | 33 | |
| 19 | 39 | |
| 20 | 57 |
About Grace Marie Ku
Grace Marie Ku is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Applied Microbiology and Biotechnology, having authored 28 papers that have together received 347 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (13 papers), Diabetes Management and Education (10 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (171 citations), Family Practice (17 citations) and General Health Professions (156 citations). Grace Marie Ku has collaborated with scholars based in Belgium, Netherlands and Cambodia. Frequent co-authors include Guy Kegels, Josefien van Olmen, Wim Van Damme, Katharina Hermann, Maurits van Pelt, François Schellevis, Kristien Van Acker, Jeroen De Man, Bruno Meessen and Willem van de Put. Their work appears in journals such as BMC Public Health, BMJ Open and Pediatric Research.
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.