An‐Wen Chan

118 papers receiving 11.2k citations

Hit Papers

Increasing value and reducing waste: addressing inaccessible research 2014 · 536 citations
536200420262011201810002.0k3.0k4.0k

Peers

An‐Wen Chan
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
Replace Asbjørn Hróbjartsson with:
Asbjørn Hróbjartsson Denmark
Drummond Rennie United States
Kay Dickersin United States
Joseph Lau United States
Benjamin Djulbegović United States
Fujian Song United Kingdom
Harold C. Sox United States
Lisa Hartling Canada
Iain Chalmers United Kingdom
Marion Campbell United Kingdom
An‐Wen Chan relative to Asbjørn Hróbjartsson Denmark Asbjørn Hróbjartsson's profile →
Citations per field
00.5×1.5×2.0×
Asbjørn Hróbjartsson · 1×
Citations per year

Countries citing papers authored by An‐Wen Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with An‐Wen Chan Line = papers co-authored together An‐Wen Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20251
3 202319
4 202312
5 20237
6 202212
7 20224
8 202210
9 202125
10 20216
11 20210
12 20192
13 20183
14 201827
15 201726
16
Association of Trial Registration With Reporting of Primary Outcomes in Protocols and Publications
20171
17 201518
18 201449
19
Better reporting of interventions: Template for intervention description and replication (TIDieR) checklist and guide
20144
20 200928

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.

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