Bruce T. Liang
- Molecular Biology top 5%
- Physiology top 0.1%
- Cardiology and Cardiovascular Medicine top 1%
- Pathology and Forensic Medicine top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Kenneth A. JacobsonGarrett J. GrossChunxia CroninJianbing ShenPnina FishmanSara Bar‐YehudaLixia YueGuangwei Du
- Topics
- Adenosine and Purinergic Signaling (53 papers)Cardiac Ischemia and Reperfusion (22 papers)Receptor Mechanisms and Signaling (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaJapan
In The Last Decade
Bruce T. Liang
125 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 1.8k
- Physiology 1.4k
- Cardiology and Cardiovascular Medicine 1.3k
- Pathology and Forensic Medicine 776
- Cellular and Molecular Neuroscience 577
Countries citing papers authored by Bruce T. Liang
This map shows the geographic impact of Bruce T. Liang'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 Bruce T. Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce T. Liang more than expected).
Fields of papers citing papers by Bruce T. Liang
This network shows the impact of papers produced by Bruce T. Liang. 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 Bruce T. Liang. The network helps show where Bruce T. Liang may publish in the future.
Co-authorship network of co-authors of Bruce T. Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce T. Liang. A scholar is included among the top collaborators of Bruce T. Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bruce T. Liang. Bruce T. Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 14 | |
| 10 | 64 | |
| 11 | 73 | |
| 12 | 2 | |
| 13 | 267 | |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 29 | |
| 17 | 10 | |
| 18 | 28 | |
| 19 | 37 | |
| 20 | 144 |
About Bruce T. Liang
Bruce T. Liang is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Developmental Neuroscience, having authored 128 papers that have together received 4.5k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (53 papers), Cardiac Ischemia and Reperfusion (22 papers) and Receptor Mechanisms and Signaling (18 papers). The work is most often cited by research in Physiology (1.4k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Developmental Neuroscience (226 citations). Bruce T. Liang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kenneth A. Jacobson, Garrett J. Gross, Chunxia Cronin, Jianbing Shen, Pnina Fishman, Sara Bar‐Yehuda, Lixia Yue, Guangwei Du, Michael A. Frohman and Ping Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.