Hang Fu
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Muscle Physiology and Disorders 5
- RNA Interference and Gene Delivery 2
-
- Cardiovascular Function and Risk Factors 4
- Co-authors
- Xiaojun Xu (1 shared paper)Bing Wu (1 shared paper)Jin‐Kui Yang (1 shared paper)Juliana C.N. Chan (1 shared paper)Min Yuan (1 shared paper)Zhanchun Feng (15 shared papers)Shangfeng Tang (13 shared papers)Ghose Bishwajit (7 shared papers)
- Journals
- Malaria Journal (5 papers)Cardiovascular Diabetology (5 papers)International Journal of Environmental Research and Public Health (4 papers)European Radiology (3 papers)BMC Public Health (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hang Fu
72 papers receiving 1.5k citations
Hang Fu's Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 432
- Neurology 156
- Endocrinology, Diabetes and Metabolism 133
- Cardiology and Cardiovascular Medicine 135
- Genetics 153
Countries citing papers authored by Hang Fu
This map shows the geographic impact of Hang Fu'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 Hang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Fu more than expected).
Fields of papers citing papers by Hang Fu
This network shows the impact of papers produced by Hang Fu. 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 Hang Fu. The network helps show where Hang Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS Hit paper breakdown → | 2006 | 558 |
| 2 | 2012 | 219 | |
| 3 | 2015 | 73 | |
| 4 | 2017 | 57 | |
| 5 | 2020 | 47 | |
| 6 | 2018 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2015 | 32 | |
| 9 | 2015 | 27 | |
| 10 | 2015 | 25 | |
| 11 | 2016 | 21 | |
| 12 | 2017 | 17 | |
| 13 | 2012 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2024 | 16 | |
| 18 | 2016 | 14 | |
| 19 | 2016 | 13 | |
| 20 | 2017 | 13 |
About Hang Fu
Hang Fu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Cardiac Imaging and Diagnostics (5 papers), Malaria Research and Control (5 papers), Cardiovascular Function and Risk Factors (4 papers), Immune cells in cancer (3 papers), COVID-19 Clinical Research Studies (3 papers), Healthcare Systems and Reforms (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Infectious Diseases (432 citations), Neurology (156 citations), Endocrinology, Diabetes and Metabolism (133 citations), Cardiology and Cardiovascular Medicine (135 citations) and Genetics (153 citations). Hang Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaojun Xu, Bing Wu, Jin‐Kui Yang, Juliana C.N. Chan, Min Yuan, Zhanchun Feng, Shangfeng Tang, Ghose Bishwajit, Yingkun Guo and Zhifu Han. Their work appears in journals such as Malaria Journal, Cardiovascular Diabetology, International Journal of Environmental Research and Public Health, European Radiology and BMC Public Health.
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.