Michael Fu

760 total citations
23 papers, 549 citations indexed

About

Michael Fu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Psychiatry and Mental health. According to data from OpenAlex, Michael Fu has authored 23 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Psychiatry and Mental health. Recurrent topics in Michael Fu's work include Heart Failure Treatment and Management (7 papers), Dementia and Cognitive Impairment Research (4 papers) and Cardiac pacing and defibrillation studies (3 papers). Michael Fu is often cited by papers focused on Heart Failure Treatment and Management (7 papers), Dementia and Cognitive Impairment Research (4 papers) and Cardiac pacing and defibrillation studies (3 papers). Michael Fu collaborates with scholars based in Sweden, China and Hong Kong. Michael Fu's co-authors include Danielle E. Ramo, Judith T. Moskowitz, Jana Haritatos, Stephanie M. Greer, Ka Sing Wong, Wynnie W.M. Lam, Hanna Falk, Inger Ekman, Ruth A. Anderson and Bradi B. Granger and has published in prestigious journals such as European Heart Journal, Biochemical Pharmacology and SLEEP.

In The Last Decade

Michael Fu

21 papers receiving 525 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Fu Sweden 11 126 112 74 74 70 23 549
Andrew P. Demidowich United States 20 106 0.8× 68 0.6× 47 0.6× 93 1.3× 126 1.8× 64 1.2k
Yolba Smit Netherlands 12 135 1.1× 42 0.4× 39 0.5× 35 0.5× 55 0.8× 24 612
Melissa Spezia Faulkner United States 23 157 1.2× 46 0.4× 44 0.6× 113 1.5× 276 3.9× 60 1.3k
Aafje Dotinga Netherlands 9 66 0.5× 23 0.2× 61 0.8× 144 1.9× 110 1.6× 17 858
Ana Myriam Lavín‐Pérez Spain 10 61 0.5× 39 0.3× 66 0.9× 191 2.6× 72 1.0× 25 554
Giulia Marton Italy 11 114 0.9× 33 0.3× 56 0.8× 38 0.5× 117 1.7× 20 763
Osnat C. Melamed Canada 13 75 0.6× 61 0.5× 42 0.6× 76 1.0× 122 1.7× 49 503
Chin‐Feng Hsuan Taiwan 11 156 1.2× 16 0.1× 42 0.6× 75 1.0× 46 0.7× 45 641
Yung‐Chieh Yen Taiwan 15 52 0.4× 24 0.2× 168 2.3× 108 1.5× 75 1.1× 41 875
Veronica Morton United Kingdom 12 45 0.4× 53 0.5× 66 0.9× 32 0.4× 187 2.7× 15 802

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-authorship network of co-authors of Michael Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Fu. A scholar is included among the top collaborators of Michael Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Fu. Michael Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karlström, Patric, Aldina Pivodic, & Michael Fu. (2025). Glucagon-Like Peptide 1 Receptor Agonist Is Associated With Improved Survival in Overweight Heart Failure Patients. JACC Heart Failure. 13(5). 754–766. 3 indexed citations
3.
Hansson, Per‐Olof, et al.. (2023). Heart Failure Outcomes in Low-Risk Patients with Atrial Fibrillation: A Case–Control Study of 680 523 Swedish Individuals. ESC Heart Failure. 10(4). 2281–2289. 2 indexed citations
4.
Zhou, Jingmin, Xuejuan Jin, Jun Zhou, et al.. (2023). Clinical outcomes by serum potassium levels for patients hospitalized for heart failure: Secondary analysis of data from the China National Heart Failure Registry. Clinical Cardiology. 46(11). 1345–1352. 2 indexed citations
7.
Nordlund, Arto, et al.. (2015). Frequent Mild Cognitive Deficits in Several Functional Domains in Elderly Patients With Heart Failure Without Known Cognitive Disorders. Journal of Cardiac Failure. 21(9). 702–707. 19 indexed citations
8.
Li, Shijun, Maria Lindh, Max Petzold, et al.. (2015). Acute coronary syndrome in octogenarians: association between percutaneous coronary intervention and long-term mortality. Clinical Interventions in Aging. 10. 1547–1547. 13 indexed citations
9.
Thunström, Erik, Helena Glantz, Michael Fu, et al.. (2015). Increased Inflammatory Activity in Nonobese Patients with Coronary Artery Disease and Obstructive Sleep Apnea. SLEEP. 38(3). 463–471. 36 indexed citations
10.
Li, Xiaoping, Chi Cai, Rong Luo, et al.. (2015). The usefulness of age and sex to predict all-cause mortality in patients with dilated cardiomyopathy: a single-center cohort study. Clinical Interventions in Aging. 10. 1479–1479. 6 indexed citations
11.
Li, Shijun, et al.. (2014). Prognostic power of lower pulse pressure on long-term all-cause mortality in octogenarians with acute coronary syndrome. Journal of Hypertension. 33(2). 279–286. 6 indexed citations
12.
Jia, Xiuqin, Shuqin Yu, Yunjuan Gu, et al.. (2011). Candesartan versus imidapril in hypertension: a randomised study to assess effects of anti-AT1 receptor autoantibodies. Heart. 97(6). 479–484. 35 indexed citations
13.
Chen, Guo-Ping, Liang Li, Michael Fu, et al.. (2010). Chronic inhibition of farnesyl pyrophosphate synthase improves endothelial function in spontaneously hypertensive rats. Biochemical Pharmacology. 80(11). 1684–1689. 21 indexed citations
14.
Kondziella, Daniel, Mattias Göthlin, Michael Fu, Henrik Zetterberg, & Anders Wallin. (2009). B-type natriuretic peptide plasma levels are elevated in subcortical vascular dementia. Neuroreport. 20(9). 825–827. 26 indexed citations
15.
Kondziella, Daniel, et al.. (2008). Hypertension in spontaneously hypertensive rats occurs despite low plasma levels of homocysteine. Physiological Research. 57(3). 487–490. 6 indexed citations
16.
Hui, Andrew, et al.. (2004). Electrophysiological, clinical and epidemiological study of Guillain–Barré Syndrome in Hong Kong Chinese. Journal of Clinical Neuroscience. 12(2). 134–136. 18 indexed citations
17.
Wong, Adrian, Vincent Mok, Michael Fu, et al.. (2004). The executive clock drawing task (CLOX) is a poor screening test for executive dysfunction in Chinese elderly patients with subcortical ischemic vascular disease. Journal of Clinical Neuroscience. 11(5). 493–497. 9 indexed citations
18.
Mok, Vincent, Adrian Wong, Michael Fu, et al.. (2004). The Validity and Reliability of Chinese Frontal Assessment Battery in Evaluating Executive Dysfunction Among Chinese Patients With Small Subcortical Infarct. Alzheimer Disease & Associated Disorders. 18(2). 68–74. 58 indexed citations
19.
Wong, Ka Sing, et al.. (2000). ISCHAEMIC MYELOPATHY PRESENTING AS GUILLAIN‐BARRÉ SYNDROME. International Journal of Clinical Practice. 54(5). 340–341. 3 indexed citations
20.
Fu, Michael, Ka Sing Wong, Wynnie W.M. Lam, & Gary Wong. (1998). Middle cerebral artery occlusion after recent mycoplasma pneumoniae infection. Journal of the Neurological Sciences. 157(1). 113–115. 44 indexed citations

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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