Charles Wu

22 papers receiving 410 citations

Peers

Charles Wu
Comparison fields: 5 of 114
  • Physiology 100
  • Development 12
  • Epidemiology 94
  • Modeling and Simulation 13
  • Endocrinology, Diabetes and Metabolism 38
Replace Trudy Sullivan with:
Trudy Sullivan New Zealand
Nicolas Krucien United Kingdom
Daniel M. Croymans United States
Micah Hartwell United States
Akbar Babaei Heydarabadi Iran
Isabel Torres Spain
Peter Howley Australia
Madhav KC United States
Lori Brand Bateman United States
Sarah D. Hohl United States
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Citations per field
00.5×4.8×
Trudy Sullivan · 1×
Citations per year

Countries citing papers authored by Charles Wu

Since Specialization
Citations

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

Fields of papers citing papers by Charles Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 201172
3 201472
4 201424
5 200623
6 201422
7 201620
8 201516
9 199811
10 201210
11 20199
12 20218
13 20228
14
The vasopressor effect of indigo carmine.
19697
15 20225
16 20204
17 20164
18 19984
19 20174
20 19723

About Charles Wu

Charles Wu is a scholar working on Political Science and International Relations, Development, Public Health, Environmental and Occupational Health, Economics and Econometrics and General Health Professions, having authored 23 papers that have together received 439 indexed citations. Recurring topics across this work include International Development and Aid (3 papers), International Relations and Foreign Policy (3 papers), COVID-19 epidemiological studies (2 papers), Health and Medical Research Impacts (2 papers), Smoking Behavior and Cessation (2 papers), Doctoral Education Challenges and Solutions (2 papers), Diabetes Management and Research (1 paper) and Polymer crystallization and properties (1 paper). The work is most often cited by research in Physiology (100 citations), Development (12 citations), Epidemiology (94 citations), Modeling and Simulation (13 citations) and Endocrinology, Diabetes and Metabolism (38 citations). Charles Wu has collaborated with scholars based in United States, Taiwan and Thailand. Frequent co-authors include Leena Gupta, Cindy Tworek, Sharon E. Perlman, David B. Portnoy, Jiping Chen, Nicolette Borek, Heather A. Cook, Beth Nivin, Annie D. Fine and Heather Hanson. Their work appears in journals such as American Journal of Preventive Medicine, The FASEB Journal, Chinese Political Science Review, PLoS ONE and Atmospheric Environment.

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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