Ching‐Yi Tsai

42 papers receiving 1.1k citations

Peers

Ching‐Yi Tsai
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 74
  • Hepatology 76
  • Immunology 181
  • Complementary and alternative medicine 64
  • Developmental Neuroscience 27
Replace Panagiotis Liakos with:
Panagiotis Liakos Greece
Pablo M. Peixoto United States
Weiyun Li China
Xiaolei Qiu United States
Jean-Paul Decuypere Belgium
Valérie Desquiret‐Dumas France
Andrew MacKenzie United Kingdom
Catherine Lombard Belgium
Dan Chen China
Qingsong Wang China
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Citations per year

Countries citing papers authored by Ching‐Yi Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Yi Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yi Tsai. 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 Ching‐Yi Tsai. The network helps show where Ching‐Yi Tsai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004187
2 2005104
3 201477
4 201172
5 201263
6 200960
7 201331
8 200431
9 201630
10 200930
11 201627
12 200726
13 201725
14 201124
15 201323
16 201223
17 200420
18 201917
19 201717
20 201416

About Ching‐Yi Tsai

Ching‐Yi Tsai is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (12 papers), Heart Rate Variability and Autonomic Control (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuroscience and Neuropharmacology Research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Hepatology (76 citations), Immunology (181 citations), Complementary and alternative medicine (64 citations) and Developmental Neuroscience (27 citations). Ching‐Yi Tsai has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Samuel H.H. Chan, Alice Y. Chang, Julie Y.H. Chan, Weijun Zhang, Edward J. Usherwood, S. Rameeza Allie, Chia‐Hao Su, Shiou-Hwei Yeh, Ding‐Shinn Chen and Ming‐Wei Lin. Their work appears in journals such as PLoS ONE, Journal of Biomedical Science, Biochemical Pharmacology, Shock and American Journal of Physiology-Heart and Circulatory Physiology.

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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