Fen Ai
Impact in
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 1
- Surgery 1
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Min Huang (1 shared paper)Xiao Xu (1 shared paper)Miao Liu (2 shared papers)Mengyuan Dai (2 shared papers)Li Chai (2 shared papers)Xiaofang Guo (1 shared paper)Diane Allen‐Gipson (1 shared paper)Zhen Chen (1 shared paper)
- Journals
- Frontiers in Physiology (1 paper)Transfusion (1 paper)International Journal of Medical Sciences (1 paper)Molecular Biology Reports (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Fen Ai
4 papers receiving 70 citations
Peers
Comparison fields: 5 of 34
- Infectious Diseases 34
- Modeling and Simulation 5
- Oncology 26
- Neurology 14
- Obstetrics and Gynecology 7
Countries citing papers authored by Fen Ai
This map shows the geographic impact of Fen Ai'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 Fen Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Ai more than expected).
Fields of papers citing papers by Fen Ai
This network shows the impact of papers produced by Fen Ai. 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 Fen Ai. The network helps show where Fen Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Ai, 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 | 2020 | 26 | |
| 2 | 2020 | 23 | |
| 3 | 2020 | 18 | |
| 4 | 2024 | 5 |
About Fen Ai
Fen Ai is a scholar working on Infectious Diseases, Surgery, Molecular Biology, Nephrology and Neurology, having authored 4 papers that have together received 72 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Medicinal Plants and Bioactive Compounds (1 paper), Long-Term Effects of COVID-19 (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Pancreatitis Pathology and Treatment (1 paper), Renal function and acid-base balance (1 paper), COVID-19 Impact on Reproduction (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Infectious Diseases (34 citations), Modeling and Simulation (5 citations), Oncology (26 citations), Neurology (14 citations) and Obstetrics and Gynecology (7 citations). Fen Ai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Min Huang, Xiao Xu, Miao Liu, Mengyuan Dai, Li Chai, Xiaofang Guo, Diane Allen‐Gipson, Zhen Chen, Ruirong Tan and Liyuan Tao. Their work appears in journals such as Frontiers in Physiology, Transfusion, International Journal of Medical Sciences and Molecular Biology Reports.
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.