Grace Marie Ku

615 citations
28 papers · 347 indexed · h-index 11

Grace Marie Ku

25 papers receiving 334 citations

Peers

Grace Marie Ku
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 171
  • Family Practice 17
  • General Health Professions 156
  • Drug Discovery 1
  • Organizational Behavior and Human Resource Management 44
Replace Victor Stephani with:
Victor Stephani Germany
Maurits van Pelt Cambodia
Simon Manyara United States
Emmanuel Kumah Ghana
Armando Brito De Sá Portugal
Anne Helen Hansen Norway
Boureima Hama Sambo Republic of the Congo
Tariku Shimels Ethiopia
Nazrila Hairizan Nasir Malaysia
Georgina Mayela Núñez‐Rocha Mexico
Grace Marie Ku relative to Victor Stephani Germany Victor Stephani's profile →
Citations per field
00.5×11.5×
Victor Stephani · 1×
Citations per year

Countries citing papers authored by Grace Marie Ku

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20243
5 20240
6 20241
7 20242
8 20231
9 20237
10 20232
11 20223
12 201738
13 201519
14 201516
15 201433
16 20147
17 201418
18 201433
19 201339
20 201157

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), Health Systems, Economic Evaluations, Quality of Life (7 papers), Primary Care and Health Outcomes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Mobile Health and mHealth Applications (4 papers), Health Policy Implementation Science (3 papers) and Diabetes Management and Research (3 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.

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