An‐Wen Chan
Impact in
- Statistics, Probability and Uncertainty top 0.02%
- Meta-analysis and systematic reviews
- Health Informatics top 0.5%
Papers in
-
- Meta-analysis and systematic reviews 58
- Co-authors
- Douglas G. AltmanPeter C GøtzscheAsbjørn HróbjartssonKay DickersinDavid MoherJennifer TetzlaffMette T. HaahrKarmela Krleža-Jerić
- Journals
- Trials (9 papers)Journal of Clinical Epidemiology (7 papers)BMJ Open (7 papers)Journal of Investigative Dermatology (6 papers)The Lancet (5 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
An‐Wen Chan
118 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Statistics, Probability and Uncertainty 3.2k
- Health Informatics 199
- Statistics and Probability 794
- Public Health, Environmental and Occupational Health 2.6k
- Pharmacology 672
Countries citing papers authored by An‐Wen Chan
This map shows the geographic impact of An‐Wen Chan'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‐Wen Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An‐Wen Chan more than expected).
Fields of papers citing papers by An‐Wen Chan
This network shows the impact of papers produced by An‐Wen Chan. 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‐Wen Chan. The network helps show where An‐Wen Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside An‐Wen Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 25 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 0 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 27 | |
| 15 | 2017 | 26 | |
| 16 | Association of Trial Registration With Reporting of Primary Outcomes in Protocols and Publications | 2017 | 1 |
| 17 | 2015 | 18 | |
| 18 | 2014 | 49 | |
| 19 | Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide | 2014 | 4 |
| 20 | 2009 | 28 |
About An‐Wen Chan
An‐Wen Chan is a scholar working on Statistics, Probability and Uncertainty, Health Informatics, Statistics and Probability, Dermatology and Economics and Econometrics, having authored 128 papers that have together received 11.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (58 papers), Health Systems, Economic Evaluations, Quality of Life (42 papers), Ethics in Clinical Research (22 papers), Nonmelanoma Skin Cancer Studies (22 papers), Delphi Technique in Research (19 papers), Statistical Methods in Clinical Trials (17 papers), Cutaneous Melanoma Detection and Management (15 papers) and Pharmaceutical industry and healthcare (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.2k citations), Health Informatics (199 citations), Statistics and Probability (794 citations), Public Health, Environmental and Occupational Health (2.6k citations) and Pharmacology (672 citations). An‐Wen Chan has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Douglas G. Altman, Peter C Gøtzsche, Asbjørn Hróbjartsson, Kay Dickersin, David Moher, Jennifer Tetzlaff, Mette T. Haahr, Karmela Krleža-Jerić, Kenneth F. Schulz and Wendy R. Parulekar. Their work appears in journals such as Trials, Journal of Clinical Epidemiology, BMJ Open, Journal of Investigative Dermatology and The Lancet.
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.