Kellia Chiu

840 citations
19 papers · 491 · h-index 7

Impact in

Papers in

Kellia Chiu

17 papers receiving 475 citations

Peers

Kellia Chiu
Comparison fields: 5 of 97
  • Statistics, Probability and Uncertainty 116
  • Modeling and Simulation 48
  • Applied Psychology 49
  • Health Informatics 11
  • Information Systems and Management 40
Replace Lisa Parker with:
Lisa Parker Australia
Andreas Reis Switzerland
Yu-Tsen Yeh Taiwan
Mirjam A. Jenny Germany
Aravind Sesagiri Raamkumar Singapore
Gary Schwitzer United States
Dehua Hu China
Raymond Francis Sarmiento United States
Nicholas DeVito United Kingdom
Marcelo D’Agostino United States
Kellia Chiu relative to Lisa Parker Australia Lisa Parker's profile →
Citations per field
00.5×3.4×
Lisa Parker · 1×
Citations per year

Countries citing papers authored by Kellia Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Kellia Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017163
2 2020142
3 2019101
4 202130
5 201919
6 201910
7 20226
8 20234
9 20244
10 20232
11 20222
12 20242
13 20242
14 20201
15 20231
16 20241
17 20221
18 20220
19 20250

About Kellia Chiu

Kellia Chiu is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Epidemiology, Statistics, Probability and Uncertainty and Health, having authored 19 papers that have together received 491 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (8 papers), Health Policy Implementation Science (4 papers), Primary Care and Health Outcomes (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Meta-analysis and systematic reviews (3 papers), Mobile Health and mHealth Applications (3 papers), Academic Publishing and Open Access (2 papers) and Academic Writing and Publishing (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (116 citations), Modeling and Simulation (48 citations), Applied Psychology (49 citations), Health Informatics (11 citations) and Information Systems and Management (40 citations). Kellia Chiu has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Lisa Bero, Quinn Grundy, Lisa Parker, Fabian Held, Andrea Continella, Ralph Holz, Ella Flemyng, Alice Grady, Magdalena Wilczynska and Theresa HM Moore. Their work appears in journals such as BMJ, Journal of General Internal Medicine, Research in Social and Administrative Pharmacy, BMJ Open and Evidence & Policy.

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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