Michael Fu

22 papers receiving 578 citations

Peers

Michael Fu
Comparison fields: 5 of 99
  • Applied Psychology 106
  • Health Informatics 12
  • Cardiology and Cardiovascular Medicine 108
  • Microbiology 31
  • Psychiatry and Mental health 59
Replace Antonio Malvaso with:
Antonio Malvaso Italy
Christine J. Manta United States
Kevin B. Johnson United States
Mingzi Li China
Maria Chiara Rossi Italy
Min Jhon South Korea
Dominic Ehrmann Germany
Pauline Phuong Huynh United States
Katharine D. Barnard-Kelly United Kingdom
Fawad Taj Pakistan
Michael Fu relative to Antonio Malvaso Italy Antonio Malvaso's profile →
Citations per field
00.5×2×3×3.8×
Antonio Malvaso · 1×
Citations per year

Countries citing papers authored by Michael Fu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019200
2 201371
3 200459
4 199849
5 201538
6 201136
7 200929
8 201021
9 201519
10 200417
11 201513
12 200410
13 20157
14 20007
15 20256
16 20146
17 20086
18 20233
19 20233
20 20241

About Michael Fu

Michael Fu is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Psychiatry and Mental health, Rheumatology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 603 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (5 papers), Dementia and Cognitive Impairment Research (2 papers), Potassium and Related Disorders (2 papers), Peripheral Neuropathies and Disorders (2 papers), Acute Myocardial Infarction Research (2 papers), Obstructive Sleep Apnea Research (1 paper), Neural and Behavioral Psychology Studies (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Applied Psychology (106 citations), Health Informatics (12 citations), Cardiology and Cardiovascular Medicine (108 citations), Microbiology (31 citations) and Psychiatry and Mental health (59 citations). Michael Fu has collaborated with scholars based in Sweden, China and Hong Kong. Frequent co-authors include Jana P. Haritatos, Judith T. Moskowitz, Danielle E. Ramo, Stephanie M. Greer, Ka Sing Wong, Wynnie W.M. Lam, Ruth A. Anderson, Hanna Falk, Inger Ekman and Bradi B. Granger. Their work appears in journals such as European Heart Journal, Clinical Interventions in Aging, Physiological Research, Acta Neurologica Scandinavica and European Heart Journal - Quality of Care and Clinical Outcomes.

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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