Ming Fu
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
- Immunology 14
- interferon and immune responses 5
- Immunotherapy and Immune Responses 5
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- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Qinxue Hu (18 shared papers)John J. Docherty (3 shared papers)Mudan Zhang (13 shared papers)Angelo L. DeLucia (1 shared paper)Yalan Liu (7 shared papers)Xinmeng Guan (8 shared papers)Jinzhe Zhang (3 shared papers)Bang Liu (4 shared papers)
- Journals
- Frontiers in Immunology (4 papers)The Journal of Immunology (4 papers)Vaccines (3 papers)Frontiers in Microbiology (2 papers)Journal of Molecular Modeling (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ming Fu
58 papers receiving 906 citations
Peers
Comparison fields: 5 of 83
- Geriatrics and Gerontology 73
- Infectious Diseases 180
- Immunology 174
- Virology 33
- Animal Science and Zoology 55
Countries citing papers authored by Ming Fu
This map shows the geographic impact of Ming 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 Ming Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fu more than expected).
Fields of papers citing papers by Ming Fu
This network shows the impact of papers produced by Ming 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 Ming Fu. The network helps show where Ming Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 184 | |
| 2 | 2021 | 75 | |
| 3 | 2022 | 49 | |
| 4 | 2020 | 44 | |
| 5 | 2017 | 43 | |
| 6 | 2021 | 38 | |
| 7 | 2016 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 25 | |
| 11 | 2018 | 24 | |
| 12 | 2005 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2020 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2000 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2018 | 13 |
About Ming Fu
Ming Fu is a scholar working on Immunology, Infectious Diseases, Virology, Epidemiology and Cancer Research, having authored 61 papers that have together received 931 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (11 papers), Pediatric Hepatobiliary Diseases and Treatments (11 papers), HIV Research and Treatment (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Cancer-related molecular mechanisms research (5 papers), interferon and immune responses (5 papers), Immunotherapy and Immune Responses (5 papers) and Gallbladder and Bile Duct Disorders (4 papers). The work is most often cited by research in Geriatrics and Gerontology (73 citations), Infectious Diseases (180 citations), Immunology (174 citations), Virology (33 citations) and Animal Science and Zoology (55 citations). Ming Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qinxue Hu, John J. Docherty, Mudan Zhang, Angelo L. DeLucia, Yalan Liu, Xinmeng Guan, Jinzhe Zhang, Bang Liu, Sukun Luo and Xiang Zhou. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Vaccines, Frontiers in Microbiology and Journal of Molecular Modeling.
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.