Chen‐Fu Shaw

23 papers receiving 466 citations

Peers

Chen‐Fu Shaw
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 146
  • Pharmacy 41
  • Neurology 42
  • Biological Psychiatry 10
  • Cardiology and Cardiovascular Medicine 85
Replace Candice Fung with:
Candice Fung Belgium
Cristina Godinho‐Silva Portugal
M. Rubio Spain
Mingju Cao Canada
Akiko Nakai Japan
Lili Zhou China
Rustum Karanjia United States
Tao Xing Australia
Susumu Take Japan
Chen‐Fu Shaw relative to Candice Fung Belgium Candice Fung's profile →
Citations per field
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Candice Fung · 1×
Citations per year

Countries citing papers authored by Chen‐Fu Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Fu Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen‐Fu Shaw, 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 Chen‐Fu Shaw Line = papers co-authored together Chen‐Fu Shaw 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 199168
2 200955
3 200449
4 200947
5 200745
6 198935
7 200919
8 200518
9
Paroxetine-induced Ca2+ movement and death in OC2 human oral cancer cells.
201117
10 198615
11 198314
12 201214
13 200513
14 201013
15 200912
16 200911
17 201010
18 20109
19 19928
20 20096

About Chen‐Fu Shaw

Chen‐Fu Shaw is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 487 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Acute Ischemic Stroke Management (3 papers), Ion channel regulation and function (3 papers), Respiratory Support and Mechanisms (2 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (146 citations), Pharmacy (41 citations), Neurology (42 citations), Biological Psychiatry (10 citations) and Cardiology and Cardiovascular Medicine (85 citations). Chen‐Fu Shaw has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Morton I. Cohen, Marianne Cohen, Chung‐Ren Jan, Constantinos N. Christakos, Nai‐Wen Tsai, Cheng‐Hsien Lu, Chun‐Chi Kuo, Lian‐Hui Lee, Wen‐Neng Chang and Yao‐Chung Chuang. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Respiratory Physiology & Neurobiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Advances in experimental medicine and biology and Brain Research.

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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