Grace Wangge

29 papers receiving 288 citations

Peers

Grace Wangge
Comparison fields: 5 of 96
  • Statistics and Probability 86
  • Statistics, Probability and Uncertainty 57
  • Family Practice 7
  • Economics and Econometrics 75
  • Modeling and Simulation 11
Replace Kimberly A. Mc Cord with:
Kimberly A. Mc Cord Switzerland
M. R. Sooriyarachchi Sri Lanka
Arun Bhatt United States
Mira G. P. Zuidgeest Netherlands
Behnam Sharif Canada
Elke Hausner Germany
Jon A. Steingrimsson United States
Kevin M. Fain United States
Shelley A. Rusincovitch United States
Doneal Thomas Canada
Grace Wangge relative to Kimberly A. Mc Cord Switzerland Kimberly A. Mc Cord's profile →
Citations per field
00.5×5.3×
Kimberly A. Mc Cord · 1×
Citations per year

Countries citing papers authored by Grace Wangge

Since Specialization
Citations

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

Fields of papers citing papers by Grace Wangge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201064
2 202031
3 202024
4 201224
5 201019
6 201318
7 200616
8 202114
9 201713
10 201613
11 20229
12 20138
13 20166
14
Indonesian prostate cancer risk calculator (IPCRC): an application for predicting prostate cancer risk (a multicenter study).
20156
15 20194
16 20134
17 20203
18 20193
19 20143
20 20212

About Grace Wangge

Grace Wangge is a scholar working on Economics and Econometrics, Statistics, Probability and Uncertainty, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Statistics and Probability, having authored 36 papers that have together received 295 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Meta-analysis and systematic reviews (7 papers), Public Health and Nutrition (5 papers), Statistical Methods in Clinical Trials (5 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Global Public Health Policies and Epidemiology (2 papers). The work is most often cited by research in Statistics and Probability (86 citations), Statistics, Probability and Uncertainty (57 citations), Family Practice (7 citations), Economics and Econometrics (75 citations) and Modeling and Simulation (11 citations). Grace Wangge has collaborated with scholars based in Indonesia, Netherlands and Czechia. Frequent co-authors include Mirjam J. Knol, Arno W. Hoes, Kit C. B. Roes, Olaf H. Klungel, Anthonius de Boer, Nadya Johanna, Indah Suci Widyahening, Yolanda van der Graaf, Dicky L. Tahapary and A. de Boer. Their work appears in journals such as PLoS ONE, Drug Discovery Today, International Journal of Environmental Research and Public Health, Atherosclerosis and BMC Public Health.

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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