Fengdi Li
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Immunology top 10%
Papers in
- Epidemiology 30
- Influenza Virus Research Studies 22
- Respiratory viral infections research 13
- Hepatitis B Virus Studies 5
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- Viral gastroenteritis research and epidemiology 8
- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Linlin Bao (38 shared papers)Chuan Qin (28 shared papers)Wei Deng (20 shared papers)Qi Lv (34 shared papers)Pin Yü (16 shared papers)Yanfeng Yao (13 shared papers)Honglin Chen (7 shared papers)Hong Gao (3 shared papers)
In The Last Decade
Fengdi Li
59 papers receiving 1.5k citations
Fengdi Li's Hit Papers
Peers
Comparison fields: 5 of 130
- Infectious Diseases 683
- Immunology 241
- Epidemiology 358
- Neurology 138
- Modeling and Simulation 38
Countries citing papers authored by Fengdi Li
This map shows the geographic impact of Fengdi Li'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 Fengdi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengdi Li more than expected).
Fields of papers citing papers by Fengdi Li
This network shows the impact of papers produced by Fengdi Li. 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 Fengdi Li. The network helps show where Fengdi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengdi Li, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Treatment With Lopinavir/Ritonavir or Interferon-β1b Improves Outcome of MERS-CoV Infection in a Nonhuman Primate Model of Common Marmoset Hit paper breakdown → | 2015 | 499 |
| 2 | 2020 | 134 | |
| 3 | 2018 | 74 | |
| 4 | 2021 | 63 | |
| 5 | 2017 | 57 | |
| 6 | 2016 | 55 | |
| 7 | 2021 | 52 | |
| 8 | 2019 | 48 | |
| 9 | 2014 | 45 | |
| 10 | 2013 | 33 | |
| 11 | 2018 | 31 | |
| 12 | 2011 | 28 | |
| 13 | 2011 | 26 | |
| 14 | 2010 | 26 | |
| 15 | 2017 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2022 | 20 | |
| 19 | 2014 | 18 | |
| 20 | 2014 | 18 |
About Fengdi Li
Fengdi Li is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Agronomy and Crop Science, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (22 papers), Respiratory viral infections research (13 papers), Viral gastroenteritis research and epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Immune Response and Inflammation (6 papers), Animal Disease Management and Epidemiology (6 papers), Hepatitis B Virus Studies (5 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Infectious Diseases (683 citations), Immunology (241 citations), Epidemiology (358 citations), Neurology (138 citations) and Modeling and Simulation (38 citations). Fengdi Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Linlin Bao, Chuan Qin, Wei Deng, Qi Lv, Pin Yü, Yanfeng Yao, Honglin Chen, Hong Gao, Kwok‐Yung Yuen and Lilong Jia. Their work appears in journals such as Virology Journal, Viruses, Signal Transduction and Targeted Therapy, Sensors and Actuators B Chemical and The Journal of Infectious Diseases.
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.