Michael Wu

1.4k citations
67 papers · 910 · h-index 19

Impact in

Papers in

Michael Wu

64 papers receiving 867 citations

Peers

Michael Wu
Comparison fields: 5 of 122
  • Cardiology and Cardiovascular Medicine 211
  • Applied Psychology 47
  • Social Psychology 188
  • Internal Medicine 23
  • Health 53
Replace Konstantinos Papazoglou with:
Konstantinos Papazoglou Greece
Sarah Williams United Kingdom
Victoria Senior United Kingdom
Kim Rand Norway
H Martı́n United Kingdom
John H. Morgan United States
James Sinacore United States
Amy Yin Man Chow Hong Kong
Miriam Shuchman United States
Wen‐Chi Wu Taiwan
Michael Wu relative to Konstantinos Papazoglou Greece Konstantinos Papazoglou's profile →
Citations per field
00.5×2×2.9×
Konstantinos Papazoglou · 1×
Citations per year

Countries citing papers authored by Michael Wu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201094
3 200756
4 201745
5 201132
6 201332
7 202129
8 202029
9 201928
10 202025
11 201522
12 201922
13 201821
14 201721
15 201821
16 201921
17 202119
18 201419
19 201418
20 202015

About Michael Wu

Michael Wu is a scholar working on Cardiology and Cardiovascular Medicine, Social Psychology, Sociology and Political Science, Cognitive Neuroscience and Clinical Psychology, having authored 67 papers that have together received 910 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (11 papers), Cultural Differences and Values (7 papers), Cardiac pacing and defibrillation studies (5 papers), Psychology of Moral and Emotional Judgment (5 papers), Social and Intergroup Psychology (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Personality Traits and Psychology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (211 citations), Applied Psychology (47 citations), Social Psychology (188 citations), Internal Medicine (23 citations) and Health (53 citations). Michael Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Chan Zhou, Adam B. Cohen, Buxin Han, Victor Chien‐Chia Wu, Shao‐Wei Chen, Pao‐Hsien Chu, Christine Ma‐Kellams, Chien‐Chang Lee, Juan Li and Shang‐Hung Chang. Their work appears in journals such as Medicine, Journal of Cross-Cultural Psychology, PLoS ONE, Journal of the American Heart Association and Pacing and Clinical Electrophysiology.

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.

Explore authors with similar magnitude of impact