Liang‐Wu Fu

35 papers receiving 863 citations

Peers

Liang‐Wu Fu
Comparison fields: 5 of 70
  • Complementary and alternative medicine 331
  • Endocrine and Autonomic Systems 149
  • Cardiology and Cardiovascular Medicine 342
  • Neurology 85
  • Physiology 209
Replace Zhi‐Ling Guo with:
Zhi‐Ling Guo United States
Hidefumi Waki Japan
Hui Ben China
Sheng‐Xing Ma United States
T. Yao China
Xiao-Ding Cao China
Hong Zheng United States
Satoshi Koba Japan
D. M. Rotto United States
J. Czachurski Germany
Liang‐Wu Fu relative to Zhi‐Ling Guo United States Zhi‐Ling Guo's profile →
Citations per field
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Zhi‐Ling Guo · 1×
Citations per year

Countries citing papers authored by Liang‐Wu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Wu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Liang‐Wu 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 Liang‐Wu Fu Line = papers co-authored together Liang‐Wu Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004121
2 2001115
3 200871
4 200959
5 200952
6 200644
7 200242
8 200540
9 199934
10 200931
11 201028
12 201628
13 199828
14 200624
15 200519
16 201817
17 200916
18 200216
19 200814
20 201012

About Liang‐Wu Fu

Liang‐Wu Fu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Physiology, Complementary and alternative medicine and Molecular Biology, having authored 36 papers that have together received 881 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (19 papers), Neuroscience of respiration and sleep (14 papers), Acupuncture Treatment Research Studies (9 papers), Nitric Oxide and Endothelin Effects (7 papers), Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (5 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Complementary and alternative medicine (331 citations), Endocrine and Autonomic Systems (149 citations), Cardiology and Cardiovascular Medicine (342 citations), Neurology (85 citations) and Physiology (209 citations). Liang‐Wu Fu has collaborated with scholars based in United States, Russia and China. Frequent co-authors include John C. Longhurst, Stephanie C. Tjen‐A‐Looi, Zhi‐Ling Guo, Wei Zhou, Peng Li, Peng Li, Walter Schunack, Houfen Su, Shaista Malik and Christopher Reist. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, The Journal of Physiology, The FASEB Journal, Journal of Applied Physiology and Scientific Reports.

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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