Haotian Gu
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Phil ChowienczykYe LiHenry FokJordi AlastrueyJohn SimpsonManish D. SinhaJohn B. ChambersAndrii Boguslavskyi
- Topics
- Cardiovascular Function and Risk Factors (12 papers)Cardiac Imaging and Diagnostics (8 papers)Cardiovascular Health and Disease Prevention (8 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Haotian Gu
29 papers receiving 345 citations
Peers
Comparison fields: 5 of 66
- Cardiology and Cardiovascular Medicine 258
- Radiology, Nuclear Medicine and Imaging 63
- Surgery 50
- Pulmonary and Respiratory Medicine 43
- Biomedical Engineering 42
Countries citing papers authored by Haotian Gu
This map shows the geographic impact of Haotian Gu'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 Haotian Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haotian Gu more than expected).
Fields of papers citing papers by Haotian Gu
This network shows the impact of papers produced by Haotian Gu. 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 Haotian Gu. The network helps show where Haotian Gu may publish in the future.
Co-authorship network of co-authors of Haotian Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Haotian Gu. A scholar is included among the top collaborators of Haotian Gu 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 Haotian Gu. Haotian Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 26 | |
| 16 | 20 | |
| 17 | Selective reduction of central blood pressure by reducing cardiac pre-load | 1 |
| 18 | 32 | |
| 19 | 26 | |
| 20 | [Inferior mesocaval shunt]. | 1 |
About Haotian Gu
Haotian Gu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 34 papers that have together received 351 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiovascular Health and Disease Prevention (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (258 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Nephrology (19 citations). Haotian Gu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Phil Chowienczyk, Ye Li, Henry Fok, Jordi Alastruey, John Simpson, Manish D. Sinha, John B. Chambers, Andrii Boguslavskyi, Sahrai Saeed and Samuel Vennin. Their work appears in journals such as Hypertension, European Heart Journal and IEEE Transactions on Biomedical Engineering.
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.