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
-
- Cardiovascular Function and Risk Factors 4
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Xiaojun Xu (1 shared paper)Juliana Chan (1 shared paper)Jin‐Kui Yang (1 shared paper)Min Yuan (1 shared paper)Bing Wu (1 shared paper)Zhanchun Feng (15 shared papers)Shangfeng Tang (13 shared papers)Yingkun Guo (27 shared papers)
- Journals
- Malaria Journal (5 papers)International Journal of Environmental Research and Public Health (4 papers)Cardiovascular Diabetology (4 papers)BMC Public Health (3 papers)Journal of Magnetic Resonance Imaging (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hang Fu
78 papers receiving 1.7k citations
Hang Fu's Hit Papers
Peers
Comparison fields: 5 of 142
- Infectious Diseases 466
- Neurology 173
- Endocrinology, Diabetes and Metabolism 144
- Cardiology and Cardiovascular Medicine 155
- Genetics 172
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 83 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 | 596 |
| 2 | 2012 | 235 | |
| 3 | 2015 | 74 | |
| 4 | 2017 | 57 | |
| 5 | 2020 | 51 | |
| 6 | 2018 | 49 | |
| 7 | 2019 | 41 | |
| 8 | 2015 | 33 | |
| 9 | 2019 | 30 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 25 | |
| 12 | 2016 | 23 | |
| 13 | 2017 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2012 | 17 | |
| 17 | 2015 | 16 | |
| 18 | 2024 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2019 | 15 |
About Hang Fu
Hang Fu is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Public Health, Environmental and Occupational Health, Finance and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Malaria Research and Control (5 papers), COVID-19 Clinical Research Studies (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (4 papers), Immune cells in cancer (3 papers), Healthcare Systems and Reforms (3 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Infectious Diseases (466 citations), Neurology (173 citations), Endocrinology, Diabetes and Metabolism (144 citations), Cardiology and Cardiovascular Medicine (155 citations) and Genetics (172 citations). Hang Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaojun Xu, Juliana Chan, Jin‐Kui Yang, Min Yuan, Bing Wu, Zhanchun Feng, Shangfeng Tang, Yingkun Guo, Ghose Bishwajit and Bing Mei Zhu. Their work appears in journals such as Malaria Journal, International Journal of Environmental Research and Public Health, Cardiovascular Diabetology, BMC Public Health and Journal of Magnetic Resonance Imaging.
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.