Yan Bai

32 papers receiving 1.1k citations

Peers

Yan Bai
Comparison fields: 5 of 78
  • Sensory Systems 105
  • Physiology 264
  • Cardiology and Cardiovascular Medicine 218
  • Physiology 32
  • Molecular Biology 470
Replace Minori Mitsui‐Saito with:
Minori Mitsui‐Saito Japan
Frosa Katsis Australia
Jae Boum Youm South Korea
Liron Boyman United States
Kousaku Iwatsubo Japan
Luyun Zou United States
Jae Yeoul Jun South Korea
Rostislav Bychkov United States
Sylvie Ducreux France
Ioannis Smyrnias United Kingdom
Yan Bai relative to Minori Mitsui‐Saito Japan Minori Mitsui‐Saito's profile →
Citations per field
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Minori Mitsui‐Saito · 1×
Citations per year

Countries citing papers authored by Yan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200698
2 201286
3 200678
4 201375
5 201469
6 200761
7 201559
8 200952
9 201050
10 201545
11 201243
12 201443
13 200642
14 200942
15 200640
16 201235
17 201029
18 201327
19 201826
20 200924

About Yan Bai

Yan Bai is a scholar working on Cardiology and Cardiovascular Medicine, Sensory Systems, Molecular Biology, Cell Biology and Physiology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Ion Channels and Receptors (5 papers), Asthma and respiratory diseases (5 papers), Ion Transport and Channel Regulation (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Viral Infections and Immunology Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Sensory Systems (105 citations), Physiology (264 citations), Cardiology and Cardiovascular Medicine (218 citations), Physiology (32 citations) and Molecular Biology (470 citations). Yan Bai has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Michael J. Sanderson, Lijun Liu, Jian Wu, Amir Askari, James Sneyd, Xiaochen Zhao, Daxiang Li, Minsi Zhang, Sandrine V. Pierre and Evgeny E. Akkuratov. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Biophysical Journal, Journal of Biological Chemistry and Journal of Molecular and Cellular Cardiology.

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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