Fengfeng Mao
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Mycobacterium research and diagnosis
Papers in
- Epidemiology 12
- Hepatitis B Virus Studies 5
- Mycobacterium research and diagnosis 2
- Autophagy in Disease and Therapy 2
-
- Tuberculosis Research and Epidemiology 7
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Changhong Shi (8 shared papers)Wenhui Li (8 shared papers)Wenhui He (5 shared papers)Jianhua Sui (6 shared papers)Yinyan Sun (3 shared papers)Yonghe Qi (3 shared papers)Bing Bai (7 shared papers)Zhikai Xu (5 shared papers)
- Journals
- Journal of Medical Virology (2 papers)DNA and Cell Biology (1 paper)Scandinavian Journal of Immunology (1 paper)PLoS Pathogens (1 paper)Pathogens and Disease (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fengfeng Mao
19 papers receiving 480 citations
Peers
Comparison fields: 5 of 64
- Hepatology 163
- Epidemiology 334
- Infectious Diseases 176
- Immunology 97
- Virology 15
Countries citing papers authored by Fengfeng Mao
This map shows the geographic impact of Fengfeng Mao'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 Fengfeng Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengfeng Mao more than expected).
Fields of papers citing papers by Fengfeng Mao
This network shows the impact of papers produced by Fengfeng Mao. 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 Fengfeng Mao. The network helps show where Fengfeng Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengfeng Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 91 | |
| 2 | 2017 | 82 | |
| 3 | 2011 | 44 | |
| 4 | 2014 | 43 | |
| 5 | 2010 | 40 | |
| 6 | 2016 | 38 | |
| 7 | 2019 | 25 | |
| 8 | 2012 | 20 | |
| 9 | 2012 | 19 | |
| 10 | 2011 | 17 | |
| 11 | 2010 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2015 | 12 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2011 | 3 | |
| 18 | [Effects of Mycobacterium tuberculosis Hsp16.3 protein on the autophagy function of mice macrophages]. | 2011 | 2 |
| 19 | 2023 | 1 |
About Fengfeng Mao
Fengfeng Mao is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Hepatology and Immunology, having authored 19 papers that have together received 487 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Mycobacterium research and diagnosis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Hepatology (163 citations), Epidemiology (334 citations), Infectious Diseases (176 citations), Immunology (97 citations) and Virology (15 citations). Fengfeng Mao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changhong Shi, Wenhui Li, Wenhui He, Jianhua Sui, Yinyan Sun, Yonghe Qi, Bing Bai, Zhikai Xu, Caiqin Zhang and Huan Yan. Their work appears in journals such as Journal of Medical Virology, DNA and Cell Biology, Scandinavian Journal of Immunology, PLoS Pathogens and Pathogens and Disease.
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.