Bi Tang

19 papers receiving 498 citations

Peers

Bi Tang
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 132
  • Pulmonary and Respiratory Medicine 148
  • Endocrine and Autonomic Systems 29
  • Cancer Research 49
  • Molecular Biology 228
Replace Miroslav Ferko with:
Miroslav Ferko Slovakia
Yuhui Xi China
Jean‐François Desjardins Canada
Kamakshi Sachidanandam United States
Manuela Sommerfeld Germany
Daniel A. Richards United States
Isamu Fukamachi Japan
Natsumi Kawamura Japan
Konrad Wolf Germany
Ramon J. Ayon United States
Bi Tang relative to Miroslav Ferko Slovakia Miroslav Ferko's profile →
Citations per field
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Miroslav Ferko · 1×
Citations per year

Countries citing papers authored by Bi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006175
2 201281
3 202260
4 201449
5 201630
6 201325
7 202218
8 202414
9 202111
10 20208
11 20257
12 20135
13 20244
14 20214
15 20243
16 20193
17 20202
18
Src tyrosine kinase is crucial for potassium channel function in human pulmonary
20132
19 20251
20
[The effect of hypoxia on pulmonary artery smooth muscle cells two pore domain potassium channels TASK-1 and the regulation of non-receptor tyrosine kinases].
20160

About Bi Tang

Bi Tang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 24 papers that have together received 502 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Alcohol Consumption and Health Effects (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (132 citations), Pulmonary and Respiratory Medicine (148 citations), Endocrine and Autonomic Systems (29 citations), Cancer Research (49 citations) and Molecular Biology (228 citations). Bi Tang has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Grażyna Kwapiszewska, Horst Olschewski, Ε. Kenneth Weir, Andrea Olschewski, Pinfang Kang, Hongju Wang, Qin Gao, Jochen Wilhelm, Walter Klepetko and Rainer M. Bohle. Their work appears in journals such as BMC Cardiovascular Disorders, Journal of Medical Internet Research, European Respiratory Journal, Oxidative Medicine and Cellular Longevity and The Journal of Clinical Endocrinology & Metabolism.

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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