Hong Shi
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Neurology top 2%
- Co-authors
- Zhiguo WangHuizhen WangXiang‐Hong JingG. Brandon AtkinsStanley NattelWei HeBing ZhuBaofeng Yang
- Topics
- Acupuncture Treatment Research Studies (26 papers)Cardiac electrophysiology and arrhythmias (23 papers)Ion channel regulation and function (20 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hong Shi
152 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 2.2k
- Cardiology and Cardiovascular Medicine 1.0k
- Cellular and Molecular Neuroscience 589
- Physiology 490
- Neurology 461
Countries citing papers authored by Hong Shi
This map shows the geographic impact of Hong Shi'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 Hong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Shi more than expected).
Fields of papers citing papers by Hong Shi
This network shows the impact of papers produced by Hong Shi. 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 Hong Shi. The network helps show where Hong Shi may publish in the future.
Co-authorship network of co-authors of Hong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shi. A scholar is included among the top collaborators of Hong Shi 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 Hong Shi. Hong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 36 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 117 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 26 | |
| 13 | 111 | |
| 14 | Inhibitory effects of 10 flavonoid glycosides on the pathways of diabetic pathogenesis | 1 |
| 15 | 3 | |
| 16 | 17 | |
| 17 | Prokaryotic Expression and Purification of Fusion Protein GST-SDF-1α | 1 |
| 18 | 6 | |
| 19 | Effects of large dose thymopeptides on T cell subpopulations of patients with malignant hematologic diseases under chemotherapy | 1 |
| 20 | 18 |
About Hong Shi
Hong Shi is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Gastroenterology, having authored 161 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (26 papers), Cardiac electrophysiology and arrhythmias (23 papers) and Ion channel regulation and function (20 papers). The work is most often cited by research in Neurology (461 citations), Complementary and alternative medicine (429 citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Hong Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiguo Wang, Huizhen Wang, Xiang‐Hong Jing, G. Brandon Atkins, Stanley Nattel, Wei He, Bing Zhu, Baofeng Yang, Zhiyong Lin and Hongyan Shang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.